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This two-volume set LNCS 15368-15369 constitutes the refereed proceedings of the 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024, held in Talca, Chile, during November 26-29, 2024. The 35 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 61 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows: Part I: Mathematical methods and computing techniques for artificial intelligence and pattern recognition, bioinformatics. Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis.

This three-volume set LNCS 14696-14698 constitutes the refereed proceedings of the 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 – July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The UAHCI 2024 proceedings were organized in the following topical sections: Part I: User Experience Design and Evaluation for Universal Access; AI for Universal Access. Part II: Universal Access to Digital Services; Design for Cognitive Disabilities; Universal Access to Virtual and Augmented Reality. Part III: Universal Access to Learning and Education; Universal Access to Health and Wellbeing; Universal Access to Information and Media.

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the SOCO 2024 conference held in the beautiful and historic city of Salamanca (Spain) in October 2024. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines that investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 18th SOCO 2023 International Program Committee selected 62 papers for publication in these conference proceedings, representing an acceptance rate of 50%. In this relevant edition, a particular emphasis was put on organizing special sessions. Four special sessions were organized related to relevant topics such as Machine Learning and Computer Vision in Industry 4.0, Intelligent Models and Frameworks for Smart Agriculture and Green Economy, Computational Intelligence Applied to Modelling and Control of Engineering Systems, and Applied Machine Learning (2nd Edition). The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

This book reports on innovations and engineering achievements of industrial relevance, with a special emphasis on mechanical engineering developments applied to modeling, simulation, and design of mechanical systems, and synthesis of new materials for advanced manufacturing applications. It gathers peer-reviewed papers presented at the 3rd International Conference “Innovation in Engineering”, ICIE 2024, held on June 26-28, 2024, in Povoação, São Miguel Island, Azores, Portugal. All in all, this first volume of a three-volume set, provides engineering researchers and professionals with a timely snapshot of technologies and strategies that should help shaping different industrial sectors to improve production efficiency, industrial sustainability, and human well-being.

This book reports on innovations and engineering achievements of industrial relevance, with a special emphasis on developments in mechatronics, control engineering and signal processing. It gathers peer-reviewed papers presented at the 3rd International Conference “Innovation in Engineering”, ICIE 2024, held on June 26-28, 2024, in Povoação, São Miguel Island, Azores, Portugal. It covers advances in automated detection and monitoring systems, industrial applications of machine learning and artificial neural networks, and industrial robots, among other topics. This second volume of a three-volume set, provides engineering researchers and professionals with a timely snapshot of technologies and strategies that should help improve production efficiency, industrial sustainability, and human well-being.

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

This book explores integrated education and learning, with a focus on new approaches such as artificial intelligence and ChatGPT. It provides insight into educational techniques that promote critical thinking and enhance learning skills. It covers various mechanisms that influence this link, including meta-cognitive capacity, memory, cognitive style, conceptual approaches, digitization, teaching approaches, echoing, and questioning. This discussion spans all levels, from early childhood to higher education. Additionally, it provides pedagogical tips on creating a learning environment that encourages pupils'creativity and critical thinking, both online and in the classroom. It demonstrates how an integrated approach to education can create high-quality minds and promote modern values to meet current and future challenges. Undergraduate and postgraduate students, early childhood teachers and educators, as well as academic faculty can benefit from its contents as it presents valuable perspectives, both practical and theoretical, that enrich the current STEM, robotics, and mobile apps education agenda.

In a world characterized by constant changes, organizations grapple with the complex task of understanding and enhancing human behavior within their ranks. The burgeoning interest in cognitive behavioral neuroscience (CBN) for unraveling the intricacies of organizational dynamics has paved the way for a groundbreaking shift. However, the application of CBN in Human Resource Development and Management (HRDM) remains in its infancy, creating a void between scientific inquiry and practical implementation. As organizations yearn for evidence-based strategies to enhance talent identification, team selection, training, and overall performance, a critical need emerges for a comprehensive guide that bridges this gap. Cognitive Behavioral Neuroscience in Organizational Settings is a groundbreaking book that illuminates the unexplored territory of CBN in HRDM. Positioned as a catalyst for change, this comprehensive guide serves as the linchpin connecting theoretical foundations with real-world applications. Seamlessly navigating through the basics of neuroscience, the anatomy and functions of the brain, and the role of neuroscience in organizational behavior, establishes the groundwork for a new academic discipline. By delving into higher cognitive processes, artificial intelligence integration, neuroscience methods, and CBN-based interventions, the book offers a roadmap to revolutionize how organizations understand, manage, and enhance their human capital. This book is not just a scholarly exploration; it is a call to action. For academic scholars seeking to contribute to the evolution of CBN in HRDM, this is a unique opportunity to be at the forefront of a transformative movement. Pioneering the integration of innovative neuroscience techniques, artificial intelligence, and practical interventions, this guide empowers scholars to actively shape the future of organizational development.

The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.

In the modern world, sensors and sensor networks are critical features in developing applications for control and automation in engineering and technology. Cognitive Science is a multidisciplinary area of research that covers artificial intelligence, neuroscience, mathematics, philosophy, psychology, linguistics, automated diagnosis etc. Cognitive sensors and associated AI and algorithms are most important components of cognitive science research and studies. This book will provide a review of the emerging theme of cognitive sensors, how it functions and its applications in a range of disciplines. Volume 2 features Cognitive Sensors in smart healthcare, including appropriate Signal Processing, Filtering, Machine Learning and AI for medical Cognitive Science analysis and applications; Case Studies, Brain Disorder and Stress analysis. Key Features: Reviews Intelligent Sensing, IoTs and Embedded Machine Learning for sensor data. Incudes smart healthcare and other smart automated systems exploiting cognitive sensing techniques. Psychological studies on sensor data for educational and other research work.

Brain and Maths in Ibero-America, Volume 282 in the Progress in Brain Research series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Progress in Brain Research series - Includes the latest information on Brain and Maths in Ibero-America

The Springer Handbook of Augmented Reality presents a comprehensive and authoritative guide to augmented reality (AR) technology, its numerous applications, and its intersection with emerging technologies. This book traces the history of AR from its early development, discussing the fundamentals of AR and its associated science.The handbook begins by presenting the development of AR over the last few years, mentioning the key pioneers and important milestones. It then moves to the fundamentals and principles of AR, such as photogrammetry, optics, motion and objects tracking, and marker-based and marker-less registration. The book discusses both software toolkits and techniques and hardware related to AR, before presenting the applications of AR. This includes both end-user applications like education and cultural heritage, and professional applications within engineering fields, medicine and architecture, amongst others. The book concludes with the convergence of AR with other emerging technologies, such as Industrial Internet of Things and Digital Twins. The handbook presents a comprehensive reference on AR technology from an academic, industrial and commercial perspective, making it an invaluable resource for audiences from a variety of backgrounds.

This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms.This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion.Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

This textbook provides a state of the art of the knowledge on the prevalence, risk and etiological factors, clinical features, assessment procedures and tools, diagnostic criteria, treatment, and prognosis of the psychiatric disorders encountered in people with intellectual disability (ID) and low-functioning autism spectrum disorder (ASD). ID and ASD represent two meta-syndromic groups of several different conditions, each with particular cognitive and communication features. People with ID/ASD display an increased prevalence of a variety of psychiatric disorders, including psychotic disorders, mood disorders, anxiety and stress-related disorders, somatoform disorders, and obsessive-compulsive disorder, as well behavioral syndromes, personality disorders, and disorders due to psychoactive substance use. This book will enable readers to understand the specificities of psychiatric disorders in the context of ID/ASD. It explains clearly how diagnostic criteria and assessment procedures for psychiatric disorders that were created for the general population have to be modified for use with ID/ASD. Above all, it will enable clinicians to overcome difficulties in diagnosis and to deliver more effective care that meets the particular needs of patients with ID/ASD.

FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.

People with neurological disorders may experience significant problems, isolation, detachment, and passivity while dealing with environmental requests. They constantly rely on caregivers and family assistance, which can create negative outcomes on their quality of life. An emerging way to overcome these issues is assistive technology-based interventions (AT). AT-based programs are designed to fill the gap between human/individual capacities or skills and environmental requests. These technologies can also bring about independence and self-determination and provide people with neurological disorders an active role, positive participation, and an enhanced status in being able to achieve functional daily activities by reducing the roles of their families and caregivers. The positive impacts of this technology are an important area of research, and its usage for neurological disorders is critical for the assessment and recovery of patients. Assistive Technologies for Assessment and Recovery of Neurological Impairments explores the use of AT-based programs for promoting independence and self-determination of individuals with neurological disorders. The chapters discuss AT-based interventions in detail with the specific technologies that are being used, the positive effects on patients, and evidence-based practices. This book also focuses on specific technologies such as virtual reality (VR) setups and augmented reality (AR) as valid ecological environments for patients that ensure methodological control and behavioral tracking for both assessment and rehabilitation purposes. This book is essential for occupational therapists, speech therapists, physiotherapists, neurologists, caregivers, psychologists, practitioners, medical professionals, medical technologists, IT consultants, academicians, and students interested in assistive technology interventions for people with neurological impairments.

This book is a collection of research articles presented at the 4th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2021), held on April 9 and 10, 2021, at CMR Engineering College, Hyderabad, India. ICCCE is one of the most prestigious conferences conceptualized in the field of networking and communication technology offering in-depth information on the latest developments in voice, data, image, and multimedia. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image, and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry. This book is a valuable resource for scientists, research scholars, and PG students working to formulate their research ideas and find the future directions in these areas. Further, it may serve as a reference work to understand the latest engineering and technologies used by practicing engineers in the field of communication engineering.

The purpose of the book is to present the GAIRS (Global Assessment and Intervention in Rett Syndrome) Checklist, an easy-to-use, short and accessible tool for every health-care professional in order to assess all the abilities of Rett girls but also to identify patients needing next-step evaluation and treatment. Thanks to the hierarchical order of all the targets assessed in each area of the GAIRS, this checklist can be a useful instrument not only for assessment but also for intervention.

This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

This book looks at how AgeTech can support the autonomy and independence of people as they grow older. The authors challenge readers to reflect on the concepts of autonomy and independence not as absolutes but as experiences situated within older adults'social connections and environments. Eleven personas of people around the world provide the context for readers to consider the influence of culture and values on how we understand autonomy and independence and the potential role of technology-based supports. The global pandemic provides a backdrop for the unprecedentedly rapid adoption of AgeTech, such as information and communication technologies or mobile applications that benefit older adults. Each persona in the book demonstrates the opportunity for AgeTech to facilitate autonomy and independence in supporting one's identity, decision making, advance care planning, self care, health management, economic and social participation, enjoyment and self fulfillment and mobility in the community. The book features AgeTech from around the world to provide examples of commercially available products as well as research and development within the field. Despite the promise of AgeTech, the book highlights the “digital divide,” where some older people experience inadequate access to technology due to their geographic location, socio-economic status, and age. This book is accessible and relevant to everyday readers. Older adults will recognize themselves or peers in the personas and may glean insight from the solutions. Care partners and service providers will identify with the challenges of the personas. AgeTech entrepreneurs, especially “seniorpreneurs,” will appreciate that their endeavours represent a growing trend. Researchers will be reminded that the most important research questions are those that will enhance the quality of life of older adults and their sense of autonomy and independence, or relational autonomy and interdependence.

This book looks at how AgeTech can support the autonomy and independence of people as they grow older. The authors challenge readers to reflect on the concepts of autonomy and independence not as absolutes but as experiences situated within older adults'social connections and environments. Eleven personas of people around the world provide the context for readers to consider the influence of culture and values on how we understand autonomy and independence and the potential role of technology-based supports. The global pandemic provides a backdrop for the unprecedentedly rapid adoption of AgeTech, such as information and communication technologies or mobile applications that benefit older adults. Each persona in the book demonstrates the opportunity for AgeTech to facilitate autonomy and independence in supporting one's identity, decision making, advance care planning, self care, health management, economic and social participation, enjoyment and self fulfillment and mobility in the community. The book features AgeTech from around the world to provide examples of commercially available products as well as research and development within the field. Despite the promise of AgeTech, the book highlights the “digital divide,” where some older people experience inadequate access to technology due to their geographic location, socio-economic status, and age. This book is accessible and relevant to everyday readers. Older adults will recognize themselves or peers in the personas and may glean insight from the solutions. Care partners and service providers will identify with the challenges of the personas. AgeTech entrepreneurs, especially “seniorpreneurs,” will appreciate that their endeavours represent a growing trend. Researchers will be reminded that the most important research questions are those that will enhance the quality of life of older adults and their sense of autonomy and independence, or relational autonomy and interdependence.

In its early years, the field of computer vision was largely motivated by researchers seeking computational models of biological vision and solutions to practical problems in manufacturing, defense, and medicine. For the past two decades or so, there has been an increasing interest in computer vision as an input modality in the context of human-computer interaction. Such vision-based interaction can endow interactive systems with visual capabilities similar to those important to human-human interaction, in order to perceive non-verbal cues and incorporate this information in applications such as interactive gaming, visualization, art installations, intelligent agent interaction, and various kinds of command and control tasks. Enabling this kind of rich, visual and multimodal interaction requires interactive-time solutions to problems such as detecting and recognizing faces and facial expressions, determining a person's direction of gaze and focus of attention, tracking movement of the body, and recognizing various kinds of gestures. In building technologies for vision-based interaction, there are choices to be made as to the range of possible sensors employed (e.g., single camera, stereo rig, depth camera), the precision and granularity of the desired outputs, the mobility of the solution, usability issues, etc. Practical considerations dictate that there is not a one-size-fits-all solution to the variety of interaction scenarios; however, there are principles and methodological approaches common to a wide range of problems in the domain. While new sensors such as the Microsoft Kinect are having a major influence on the research and practice of vision-based interaction in various settings, they are just a starting point for continued progress in the area. In this book, we discuss the landscape of history, opportunities, and challenges in this area of vision-based interaction; we review the state-of-the-art and seminal works in detecting and recognizing the human body and its components; we explore both static and dynamic approaches to'looking at people'vision problems; and we place the computer vision work in the context of other modalities and multimodal applications. Readers should gain a thorough understanding of current and future possibilities of computer vision technologies in the context of human-computer interaction.

The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions.ICIAP 2022 presents the following Sixteen workshops:Volume I:GoodBrother workshop on visual intelligence for active and assisted livingParts can worth like the Whole - PART 2022Workshop on Fine Art Pattern Extraction and Recognition - FAPERWorkshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealthVolume II: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCESBinary is the new Black (and White): Recent Advances on Binary Image ProcessingArtificial Intelligence for preterm infants'healthCare - AI-careTowards a Complete Analysis of People: From Face and Body to Clothes - T-CAPArtificial Intelligence for Digital Humanities - AI4DHMedical Transformers - MEDXFLearning in Precision Livestock Farming - LPLFWorkshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETCMedical Imaging Analysis For Covid-19 - MIACOVID 2022Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL

The healthcare industry has been the center of attention recently as it continues to have a major impact on private and public organizations, government institutions, and consumers. An increasing number of requests for healthcare has led to the implementation of new policies and reform proposals that are challenging as they can have a simultaneous impact on different categories of users. As many health, individual, and organizational activities continue to grow and are conducted in the general environment, new vulnerabilities have emerged that have led to the need to study the system from a different angle. The nature, source, and complexity of healthcare is not always clear, and many times health issues are underestimated. The Handbook of Research on Healthcare Standards, Policies, and Reform examines the complex issues, various problems, and innovative solutions that are linked to healthcare standards, policies, and reform. This comprehensive reference work provides important knowledge that impacts healthcare improvement from the perspective of multiple disciplines, adding innovation value to solving health issues. Covering topics such as health protection, psychological health, and healthcare technology, it is an essential resource for academicians, healthcare practitioners, researchers, healthcare scientists, professional bodies, professors and students of higher education, and policymakers.

Rett syndrome, a rare genetic disease caused by mutations of the MECP2 gene, includes severe to profound developmental impairments. Communicative, intellectual, and motor disabilities are usually embedded. Children with Rett syndrome are individuals with multiple difficulties. Caregivers, families and professionals face to serious daily challenges due to clinical conditions determined by Rett syndrome. Accordingly, traditional interventions may not be adequate. Customized programs based on cognitive-behavioral approaches and assistive technology setups are highly warranted. The current book includes the newest empirical contributions to tackle functional consequences of Rett syndrome. Sleep and pain disorders were targeted in Chapter One. A cross-disciplinary investigation to enhance active participation and constructive engagement of children with Rett syndrome was detailed in Chapter Two. The importance of functional activities was emphasized in Chapter Three. Communication guidelines to support communication skills of individuals with Rett syndrome were critically discussed in Chapter Four. The relevance of music and music therapy to promote positive participation was argued in Chapter Five. A selective review on the use of assistive technology-based programs in individuals with Rett syndrome was provided in Chapter Six. A case report to help locomotion fluency of an adolescent with Rett syndrome through the use of microswitches and contingent positive stimulation was presented in Chapter Seven. The book was supported by illustrative examples described by the chapters'contributors and their professional experience. Readers may find helpful insights within each edited chapter. Caregivers, families, and professionals may have a practical guide to everyday settings and environments or contexts. Clarity and readability for a large audience are undoubtedly strengths and advantages of the current volume. Although technical terminology was used throughout, both future research and practice can widely find meaningful tips and tangible suggestions to tackle daily barriers and/or obstacles in individuals with Rett syndrome and severe to profound developmental delays.

The need to develop 21st-century competencies has received global recognition, but instructional methods have not been reformed to include the teaching of these skills. Multiple frameworks include creativity, critical thinking, communication, and collaboration as the foundational competencies. Complexities of planning curriculum and delivering instruction to develop the foundational competencies requires professional training. However, despite training, instructional practice can be impacted by barriers caused by personal views of teachers, economic constraints, access to resources, social challenges, pandemic, overwhelming pace of global shifts, and other influences. With digitalization entering the field of education, it is unclear if technology has helped in removing or eliminating the barriers or has, itself, become another obstruction in integrating the competencies. Gaining an educator's perspective is essential to understanding the barriers as well as solutions to mitigate the impediments through innovative instructional methods being practiced across the globe via digital or non-digital platforms. The need for original contributions from educators exists in this area of barriers to 21st-century education and the role of digitalization. The Handbook of Research on Barriers for Teaching 21st-Century Competencies and the Impact of Digitalization discusses teaching the 21st-century competencies, namely critical thinking, creativity, collaboration, and communication. This book presents both the problems or gaps causing barriers and brings forth practical solutions, digital and non-digital, to meet the educational shifts. The chapters will determine the specific barriers that exist, whether political, social, economic, or technological, to integrating competencies and the methods or strategies that can eliminate these barriers through compatible instructional approaches. Additionally, the chapters provide knowledge on the impacts of digitalization in general on teaching and learning and how digital innovations are either beneficial to removing impediments for students or rather causing obstructions in integrating the four competencies. This book is ideally intended for educators and administrators working directly with students, educational researchers, educational software developers, policymakers, teachers, practitioners, and students interested in how 21st-century competencies can be taught while facing the impacts of digitalization on education.

Discussions surrounding inclusivity have grown exponentially in recent years. In today's world where diversity, equity, and inclusion are the hot topics in all aspects of society, it is more important than ever to define what it means to be an inclusive society, as well as challenges and potential growth. Those with physical and intellectual disabilities, including vision and hearing impairment, Down syndrome, locomotor disability, and more continue to face challenges of accessibility in their daily lives, especially when facing an increasingly digitalized society. It is crucial that research is brought up to date on the latest assistive technologies, educational practices, work assistance, and online support that can be provided to those classified with a disability. The Research Anthology on Physical and Intellectual Disabilities in an Inclusive Society provides a comprehensive guide of a range of topics relating to myriad aspects, difficulties, and opportunities of becoming a more inclusive society toward those with physical or intellectual disabilities. Covering everything from disabilities in education, sports, marriages, and more, it is essential for psychologists, psychiatrists, pediatricians, psychiatric nurses, clinicians, special education teachers, social workers, hospital administrators, mental health specialists, managers, academicians, rehabilitation centers, researchers, and students who wish to learn more about what it means to be an inclusive society and best practices in order to get there.

This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during September 24–25, 2020, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. - Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. - Includes several privacy preservation techniques for medical data. - Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. - Offers case studies and applications relating to machine learning, big data, and health care analysis.

This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.

The three-volume set LNCS 12762, 12763, and 12764 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 23rd International Conference on Human-Computer Interaction, HCII 2021, which took place virtually in July 2021.The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The 139 papers included in this HCI 2021 proceedings were organized in topical sections as follows: Part I, Theory, Methods and Tools: HCI theory, education and practice; UX evaluation methods, techniques and tools; emotional and persuasive design; and emotions and cognition in HCI Part II, Interaction Techniques and Novel Applications: Novel interaction techniques; human-robot interaction; digital wellbeing; and HCI in surgery Part III, Design and User Experience Case Studies: Design case studies; user experience and technology acceptance studies; and HCI, social distancing, information, communication and work

This book is a collection of peer-reviewed best selected research papers presented at 3rd International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2020). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference is a valuable resource, dealing with both the important core and the specialized issues in the areas of next generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advance work in the area.

This work aborded teaching innovation with ICT like augmented reality, digital gamification, so on. Teachers from different matters like EFL, Economics, Social Education, and Primary Education improve their teaching process with expertise and creativity. As coordinators, we have count with expert authors worldwide in their field of work about this first title.

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurological disorder that impacts focus, self-control, and other skills important in daily life. Caused by differences in brain anatomy and wiring, it is known to be one of the most common conditions in childhood. As ADHD plays a serious role in how children function in school and in their everyday life, having a deep understanding of this neurological condition is critical. This book explores recent advances in neuroimaging techniques, methods, applications and machine learning algorithms.Key Features Contributions from world-class researchers in neurological disorders imaging Introductory section on the fundamentals of various imaging techniques A comprehensive overview of imaging related dyslexia, epilepsy, and Parkinson's Artificial Intelligence principles incorporated throughout Emphasis on deep learning paradigms

This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications.

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology. Combining the input of contributing professors and researchers from Italian and international universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the economic and policy implications of artificial intelligence.

This two-volume set of LNCS 12188 and 12189 constitutes the refereed proceedings of the 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference, HCI International 2020, which took place in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. UAHCI 2020 includes a total of 80 regular papers which are organized in topical sections named: Design for All Theory, Methods and Practice; User Interfaces and Interaction Techniques for Universal Access; Web Accessibility; Virtual and Augmented Reality for Universal Access; Robots in Universal Access; Technologies for Autism Spectrum Disorders; Technologies for Deaf Users; Universal Access to Learning and Education; Social Media, Digital Services, eInclusion and Innovation; Intelligent Assistive Environments.

Using cognitive processing and crosslinguistic perspectives, the opening chapter of this book considers the characteristics and needs of Anglophone-struggling readers; teachers'needs in supporting their instruction; and how ongoing Reading Wars divisiveness about word-reading creates the need for research to establish the differing skills and instructional needs of high-progress and low-progress readers. Next, the authors provide an overview of existing literature on the antecedents of peace choices and attitudes to evaluate the peace choice with reference to both top-down and bottom-up cognitive processes. The conclusions are discussed in the light of peace education choices related to both controlled and automatic processes. This collection goes on to analyse factors that affect group decision-making efficiency. The results are discussed assuming the bifurcation parameter as an operative measure of group efficiency and relaying them to the multidimensional theory. The penultimate chapter presents a review of a research program aimed at examining the role that the need for cognitive closure, a motivational tendency to reduce uncertainty, confusion, and ambiguity, plays in multitasking performance, preference, and behavior. The concluding chapter focuses on how, when the forged alliance between client and therapist falls in the gray area, the client can be fully protected and served more so than had the alliance not been considered or rejected out of excess caution.

This book constitutes thoroughly reviewed, revised and selected papers from the 5th International Conference on Human Centered Computing, HCC 2019, held in Čačak, Serbia, in August 2019. The 48 full and 23 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions. The papers focus on deep learning and its applications on a variety of real-life problems, ranging from image/video analysis, to human-computer interaction, and to logistics and supply chain management.

This book gathers the outcomes of the 6th ACIS International Conference on Computational Science/Intelligence & Applied Informatics (CSII 2019), which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Further, they presented research results on all aspects (theory, applications and tools) of computer and information science, and discussed the practical challenges encountered in their work and the solutions they adopted to overcome them. The book highlights the best papers from those accepted for presentation at the conference. They were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round, 15 of the conference's most promising papers were selected for this Springer (SCI) book and not the conference proceedings. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.

Understanding Rett Syndrome offers a concise, evidence-based introduction to Rett Syndrome (RTT), covering a range of topics from diagnosis and causes to treatment and family management. It focuses on improving the quality of life for those with the syndrome by suggesting practical ways of managing the condition at home and at school, offering support and guidance to all parents and caregivers learning how to help children with RTT. Over the course of six chapters, Fabio, Caprì and, Martino explore signs and symptoms of RTT, along with an overview of treatment, therapy, and interventions for those living with the condition, focusing on technological aids such as eye-tracking and ICT and new neural techniques. Illustrated with interviews with parents of children living with RTT, Understanding Rett Syndrome is essential reading for parents and caregivers, as well as practitioners in clinical and educational psychology, counseling, mental health, nursing, child welfare, public healthcare, and those in education.

This book aims to present an overview of current research and dominant theories on human attention. It presents a comprehensive review of the current state of theories in the field, including the measurement and neuropsychology of attention. It also discusses the relationship between attention and new media. The title of this book includes the word “today,” because the authors sought to address recent trends and potential future directions in the field of human attention. This book is organized into four chapters. The first chapter explores the theoretical models of attention from historical theories to current research. The second chapter analyses the measurements of attention, with particular reference to paradigms that have been used to study visual and auditory attention. The third chapter focuses on two aspects: the neural basis of attention and electrophysiology, distinguishing the different functions of attention. The last chapter considers the interactions between attention and new media, in particular, television, smartphones, computers, and video games. Both the novice and expert will be able to understand and learn much from reading this book. It is aimed at both students and researchers, as well as professionals in healthcare, education, social care, and related fields.

This collection begins by discussing bendamustine, a nitrogen mustard derivative that consists of a meclorethamine group, butyric acid and a benzimidazole ring. Bendamustine has been synthesized in 1963, but in recent years it has been shown to be effective in treating lymphoproliferative diseases and solid tumors. Additionally, the authors present the efficacy of structure variation of bendamustine for the enhancement of the lipid membrane partitioning and tissue penetration, as well as drug-likeness. A total of 10 novel compounds are presented, wherein seven have higher Log P values and three have lower Log P values than that of bendamustine. Advances in Medicine and Biology. Volume 149 also discusses metabolic syndrome, a growing major clinical challenge for global health resultant from over-consumption of energy and obesity. Following this, the authors address the importance of antimicrobial resistance in human and veterinary medicine, focusing on antimicrobial peptides such as nisin as therapeutic alternatives. A study is presented wherein it is concluded that oligodendrocyte dysfunction in multiple system atrophy significantly affects subcortical anatomical pathways. Moreover, the spatial patterns of the glial cytoplasmic inclusions in multiple system atrophy contrast with those reported for filamentous neuronal inclusions in other neurodegenerative diseases. Next, the authors summarize the recent discoveries expounding how β-cell identity and heterogeneity evolve in diabetes mellitus, discussing a new perspective of β-cell function salvage in diabetes mellitus development. Yeast cell cycle arrest and its consequences are analyzed in the subsequent chapter. Cell cycle arrest results in programmed cell death, such as apoptosis, wherein cells are made to commit suicide. The penultimate study evaluates the effect of anodal transcranial direct current stimulation on cognitive and neurophysiological functions in patients with moderate cognitive impairment. Lastly, to investigate the role of CD44 in the development of allergic respiratory inflammation, a mouse model of airway allergic inflammation induced by transnasal administration of helminthic and mite allergens is used to analyze bronchoalveolar lavage fluid and airway hyper responsiveness.

This volume collects selected papers of the 5th CESA Automotive Electronics Congress, Paris, 2018. CESA is the most important automotive electronics conference in France. The topical focus lies on state-of-the-art automotive electronics with respect to energy consumption and autonomous driving. The target audience primarily comprises industry leaders and research experts in the automotive industry.

The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 17th Annual UK Workshop on Computational Intelligence, held on September 6-8, 2017, in Cardiff, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

The use of mobile devices in medical care settings and by wellness professionals has influenced and changed many aspects of clinical practice. Mobile devices have become ubiquitous in these settings, leading to rapid growth in the development of medical apps. Contemporary Applications of Mobile Computing in Healthcare Settings is a critical scholarly resource that explores the benefits of using mobile devices and apps in the medical field and examines the shortcomings in the validation practices regarding these technologies. Featuring coverage on a wide range of topics such as smart healthcare, patient surveillance, and body fitness monitoring, this book is geared toward academicians, nurses, medical professionals, practitioners, and students seeking current research on the quality and safety of the apps currently available for use by medical care professionals.

This book constitutes the thoroughly refereed proceedings of the 24th International Conference on Computer Networks, CN 2017, held in Brunów, Poland, in June 2017. The 35 full papers presented were carefully reviewed and selected from 80 submissions. They are dealing with the topics computer networks; teleinformatics and telecommunications; new technologies; queueing theory; innovative applications.

Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Presents numerous specific use-cases throughout, showing practical applications of concepts - Contains contributions from leading experts around the globe - Collects, in one place, the latest thinking on an emerging topic - Addresses the security and privacy issues inherent in sensor deployment