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This book comprises the proceedings of the Conference and Exhibition on Non-Destructive Evaluation (NDE 2022). The contents of the volume encompass a vast spectrum from conventional to advanced NDE including novel methods, and emerging NDE technologies. It covers topics from wide domains from conventional to advanced NDE methods which includes but not limited to drone-based inspections, thermal wave imaging, microwave NDE, shearography, Quantitative NDE using Digital Image Correlation, modeling and simulation, NDT data fusion, material characterization, waveguide sensors, inspections of civil structures, medical applications such as bone density and cancer diagnosis, signal and image processing, NDE sensors, instrumentation, software and systems, NDE 4.0 and robotics, automation, AI in NDE, functional and operational testing, NDE data analytics, reliability and safety assurance, periodic maintenance, life estimation, as well as structural integrity and related areas. This book serves as a useful reference for students, researchers, and practitioners working in the areas of non-destructive testing and evaluation.

This book provides a thorough introduction to the Texas Instruments MPS432™ microcontroller. The MPS432 is a 32-bit processor with the ARM Cortex M4F architecture and a built-in floating point unit. At the core, the MSP432 features a 32-bit ARM Cortex-M4F CPU, a RISC-architecture processing unit that includes a built-in DSP engine and a floating point unit. As an extension of the ultra-low-power MSP microcontroller family, the MSP432 features ultra-low power consumption and integrated digital and analog hardware peripherals. The MSP432 is a new member to the MSP family. It provides for a seamless transition to applications requiring 32-bit processing at an operating frequency of up to 48 MHz. The processor may be programmed at a variety of levels with different programming languages including the user-friendly Energia rapid prototyping platform, in assembly language, and in C. A number of C programming options are also available to developers, starting with register-level access code where developers can directly configure the device's registers, to Driver Library, which provides a standardized set of application program interfaces (APIs) that enable software developers to quickly manipulate various peripherals available on the device. Even higher abstraction layers are also available, such as the extremely user-friendly Energia platform, that enables even beginners to quickly prototype an application on MSP432. The MSP432 LaunchPad is supported by a host of technical data, application notes, training modules, and software examples. All are encapsulated inside one handy package called MSPWare, available as both a stand-alone download package as well as on the TI Cloud development site: dev.ti.com The features of the MSP432 may be extended with a full line of BoosterPack plug-in modules. The MSP432 is also supported by a variety of third party modular sensors and software compiler companies. In the back, a thorough introduction to the MPS432 line of microcontrollers,programming techniques, and interface concepts are provided along with considerable tutorial information with many illustrated examples. Each chapter provides laboratory exercises to apply what has been presented in the chapter. The book is intended for an upper level undergraduate course in microcontrollers or mechatronics but may also be used as a reference for capstone design projects. Practicing engineers already familiar with another microcontroller, who require a quick tutorial on the microcontroller, will also find this book very useful. Finally, middle school and high school students will find the MSP432 highly approachable via the Energia rapid prototyping system.

Distributed Computing by Mobile Entities is concerned with the study of the computational and complexity issues arising in systems of decentralized computational entities operating in a spatial universe Encompassing and modeling a large variety of application environments and systems, from robotic swarms to networks of mobile sensors, from software mobile agents in communication networks to crawlers and viruses on the web, the theoretical research in this area intersects distributed computing with the fields of computational geometry (especially for continuous spaces), control theory, graph theory and combinatorics (especially for discrete spaces). The research focus is on determining what tasks can be performed by the entities, under what conditions, and at what cost. In particular, the central question is to determine what minimal hypotheses allow a given problem to be solved. This book is based on the lectures and tutorial presented at the research meeting on “Moving and Computing'(mac) held at La Maddalena Island in June 2017. Greatly expanded, revised and updated, each of the lectures forms an individual Chapter. Together, they provide a map of the current knowledge about the boundaries of distributed computing by mobile entities.

Fundamental and technological topics are blended uniquely and developed clearly in nine chapters with a gradually increasing level of complexity. A wide variety of relevant problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained, step by step.Fundamental coverage includes: Kinematics; Statics and dynamics of manipulators; Trajectory planning and motion control in free space. Technological aspects include: Actuators; Sensors; Hardware/software control architectures; Industrial robot-control algorithms.Furthermore, established research results involving description of end-effector orientation, closed kinematic chains, kinematic redundancy and singularities, dynamic parameter identification, robust and adaptive control and force/motion control are provided.To provide readers with a homogeneous background, three appendices are included on: Linear algebra; Rigid-body mechanics; Feedback control. To acquire practical skill, more than 50 examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, more than 80 end-of-chapter exercises are proposed, and the book is accompanied by a solutions manual containing the MATLAB code for computer problems; this is available from the publisher free of charge to those adopting this work as a textbook for courses.

This book is a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2024) held in Belgrade, Serbia, from 24 June to 27 June 2024. The book discusses various industrial, engineering and scientific applications of engineering techniques. Researchers from academia and industry present their original work and exchange ideas, experiences, information, techniques, applications and innovations in mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.

The three-volume set CCIS 2319-2321 constitutes the proceedings of the 26th International Conference on Human-Computer Interaction, HCII 2024, held in Washington, DC, USA, during June 29–July 4, 2024. For the HCII 2024 proceedings, a total of 1271 papers and 309 posters was carefully reviewed and selected from 5108 submissions. Additionally, 222 papers and 104 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work”. The posters presented in these three volumes are organized in the following topical sections: Part I: User Interface and Interaction Design; Usability and User Experience Evaluation; Innovative Technologies and Human-Centered Solutions. Part II: Innovations in Extended Reality; Smart Systems and Intelligent Design; AI and Design for Human-Centric Applications. Part III: Design for Health and Well-being; Advanced Interactive Technologies for Learning; Gaming, Gamification, and Immersive Design; Technology-Enhanced Experiences in Cultural Heritage.

This book presents the proceedings of the 8th International Conference on Innovative Technologies in Intelligent Systems & Industrial Application (CITISIA), held in virtual mode in Sydney, Australia and Kuala Lumpur, Malaysia, on November 16-18, 2023. It showcases advances and innovations in Industry 4.0, smart society 5.0, mobile technologies, smart manufacturing, smart data fusion, hybrid intelligence, cloud computing, and digital society.

On November 22, 23, and 24, 2023, the International Conference of Applied Engineering and Innovative Technologies (AENIT-2023) was held at the “El Olivo” Campus of the Universidad Técnica del Norte—UTN (Ibarra-Ecuador). The main objective of the conference was to allow the exchange of knowledge and experiences between researchers from the different national and international universities that attended it. The event was organized by the UTN and had the academic endorsement of Cisco Latam Network Academy, Institute of Electrical and Electronic Engineers (IEEE), EC-Council Academia LATAM, Amazon Web Services (AWS), CEDIA (Ecuador), Universidad Mariana (Colombia), Universidad Cooperativa de Colombia (Colombia), Universidad Nacional de la Plata (Argentina) and la Universidad Técnica de Manabí (Ecuador). The publications presented at the conference were evaluated by a high-level International Scientific Committee, which evaluated the relevance and originality of the works under a double-blind peer modality. 114 articles were received, of which 48 were accepted for publication. Due to the uncertainty caused by the COVID-19 pandemic, the conference was held in a hybrid format (in-person and virtual).

The book presents high-quality, peer-reviewed papers from 3rd International Conference on “Universal Threats in Expert Applications and Solutions'(UNI-TEAS 2024), jointly being organized by IES University, Bhopal, and Shree KKarni Universe College, Jaipur, in association with CSI Jaipur Chapter and Jaipur ACM Professional Chapter during January 6–9, 2024. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advanced web technologies such as IoT, big data, and cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.

This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication, and Embedded Systems (VSPICE-2023). The book provides insights into various aspects of electronics and communication engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics, and the Internet of Things. The contents mainly focus on the most recent innovations, trends, concerns, and practical challenges and their solutions. This book is useful for academicians, professionals, and researchers in the area of electronics and communications and electrical engineering.

This two-volume set showcases the various ways in which geospatial technology can be used to achieve sustainable development goals across different sectors such as urban planning, natural resource management, agriculture, disaster management, and energy management. The books provide insights into the potential of geospatial technology in promoting sustainable development practices and addressing challenges related to climate change, environmental degradation, and socio-economic development. Both volumes together are a comprehensive guide that showcases the potential of geospatial technology in promoting sustainable development practices across different sectors, and will serve as an essential resource for professionals, policymakers, researchers, and students interested in sustainable development and geospatial technology.Volume 2 explores practical applications, insightful case studies, and emerging trends within the dynamic intersection of sustainable development and geospatial technology. Delving into the critical domain of water resources and agriculture, it scrutinizes the application of geospatial tools in river basin management, integrated water resources management (IWRM), sustainable agriculture, and precision agriculture. The volume then shifts its focus to disaster management, energy, and the future, encompassing geospatial data science for disaster resilience, Earth observation for sustainable energy management, and diverse case studies that highlight the impact of geospatial technology on sustainable development. Moreover, it ventures into environmental monitoring and analysis, discussing topics like land use planning, climate change mitigation, environmental monitoring technology, and socioeconomic inequalities.

The 2024th edition of Robotics in Education is based on the 15th Conference on Robotics in Education (RiE2024) mirroring experts'knowledge from all over the world. It includes and summarizes all accepted papers from an interdisciplinary community, which met traditionally at the annual Robotics in Education conference making it a valuable resource for educators, researchers, scientists and engineers. Without losing the focus on educational robotics, the topics have been carefully expanded this year. Therefore, the contributions ranges from theory to practice and from primary schools to university labs while the content covers experience reports from out of school programs to didactic-methodological approaches in teacher training and artificial intelligence to human robotics interaction. Also new robot designs, robot competitions and aspects of maker spaces were considered. The anniversary edition of the conference took place from 10.-12. April 2024 at the University of Koblenz in Germany.

This book comprises the proceedings of the Annual Conference of the Canadian Society for Civil Engineering 2023. The contents of this volume focus on the specialty track in structural engineering with topics on bridge design, FRP concrete structures, innovation in structural engineering, seismic analysis and design, wind load on structures, masonry structures, structural optimization, machine learning and AI in structural engineering, and wood and timber structures, among others. This volume will prove a valuable resource for researchers and professionals.

This book gathers a selection of research papers that delve into the field of smart systems, covering a wide range of applications in transportation, agriculture, healthcare, energy management, and more. Emphasizing the fusion of intelligence and security, they reveal how advanced embedded and mobile systems are paving the way for a smarter and safer future. The book presents peer-reviewed research articles from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24th – 25th, 2022, in Arusha, Tanzania. The book showcases the remarkable potential of advanced technologies in shaping a smarter and more secure world, addressing topics such as transportation and mobility solutions, smart manufacturing and agriculture, ICT infrastructure and resource management, healthcare and energy management, system integration and control, and solutions for innovation and monitoring.

This book presents select proceedings of the International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development (IACESD 2023) hosted under the aegis of the Group of Twenty (G20) and Civil 20 (C20) at Jyothy Institute of Technology, Bengaluru, India. The topics covered include sustainable and resilient communities, sustainable construction materials, disaster resilient infrastructure, nano-composites and bio-composites, sustainable geotechnics and earthquake engineering. This book serves as a resource material for researchers and industry professionals interested in disaster risk reduction.

This book constitutes the revised selected papers of the 15th International Conference, MEDES 2023, Heraklion, Crete, Greece, May 5–7, 2023The 29 full papers included in this volume were carefully reviewed and selected from 52 submissions. The papers focus on the following topics: Design Issues & BlockChain, Query Processing and Visualization, Learning Issues, Services and Systems, Business and Communication Technologies, Digital Twin and Security, Architecture Technologies, Time and Text Management.

This contributed volume presents the latest research on additive manufacturing (AM) or 3D printing, one of the key techniques of novel medical devices, which can process complicated or customized structures to match the properties of human tissues. AM allows for the fabrication of devices with optimal architectures, complicated morphologies, surface integrity, and regulated porosity and chemical composition. Various AM methods can now consistently fabricate dense products for a variety of materials, comprising steels, titanium alloys, Co-Cr alloys, metal-based composites, and nanocomposites. This book elucidates the chronology of various techniques that are categorized under additive manufacturing. Moreover, the futuristic techniques or advancements in this area are also described. The available literature focuses on the microstructure and various properties of 3D-printed alloys. However, the research on the wear characteristics, corrosion resistance, and biocompatibility of 3D-printedtechnology for biomedical applications is limited. This book comprises the helicopter view of different surface analysis trends of additive manufactured alloys. The book can be a valuable reference for beginners, researchers, and professionals interested in bioimplant manufacturing and allied fields.

This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.

This book outlines how advances in the diverse scientific and engineering disciplines of synthetic biology, DNA synthesis, production of protein therapeutics, and bioinformatics have led to the commercialization of new complex biotherapeutic modalities in modern era, including monoclonal and multi-specific antibodies, antibody drug conjugates (ADC), fusion proteins, CAR-T and CRISPR technologies and applications, mRNA vaccines and more. Enabling operations to bring these life-changing medicines into the hands of the needy patients include regulatory submissions to authorities across the globe, as well as streamlined production across manufacturing networks deemed necessary and are outlined in dedicated chapters. Bioprocessing, Bioengineering and Process Chemistry in the Biopharmaceutical Industry: Using Chemistry and Bioengineering to Improve the Performance of Biologics captures the state of the art for many of these new modalities, offering innovative approaches to treat, prevent, and in some providential cases, cure the disease. This book will be of significant interest for many disciplines engaged jointly as teams convergently in delivering these medicines: bioprocess engineers, biologists, chemists, bioengineers, genetic engineers, healthcare professionals, regulatory bodies, among pharmaceutical industry professionals as well as in academic circles.

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI). Volume III: Generative AI – Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI – Solutions and Emerging Technologies (DCenAI).

This book constitutes the refereed post proceedings of the 15th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2024, held in Weiden, Germany, during May 21–22, 2024. The 14 full papers and 8 short papers included in this book were carefully reviewed and selected from 30 submissions. These papers have been organized in the following topical sections: Processes And Data; Subject-Oriented Modeling, Philosophy, and Technology; Processes and Sustainability; Good Process Practices.

This book presents peer-reviewed articles from the 12th International Conference on Advanced Materials and Engineering Materials (ICAMEM2023), held in Bangkok, Thailand, from December 15 to 18, 2023. ICAMEM has been a prominent platform for sharing current and emerging materials and devices research for over 11 years between researchers and professionals from industry, research laboratories, and academia. Topics in the proceedings include but are not limited to nanomaterials and nanotechnology; graphene technology; polymer science and technology; surface science and engineering; new energy materials; composite materials, etc.

This comprehensive book brings together the brightest minds in academic, featuring a curated selection of papers and presentations from the esteemed conference. With a focus on the intersection of the conference themes, this book provides a unique platform for researchers, practitioners, and innovators to share their cutting-edge research, innovations, and solutions. Get ready to dive into the latest advancements in Artificial Intelligence and Internet of Things for Healthcare, Computer Vision, world of computer science, featuring advancements in machine learning, natural language processing, and more with the Proceedings of SMAI2024. This book presents a comprehensive and interdisciplinary examination of the applications, challenges, and implications of AI-IoT convergence in different contexts such Smart Healthcare/Smart Technologies/Smart Industry, computer vision, and NLP. Through a series of erudite chapters, esteemed experts in computer sciences, healthcare, physics, technology, and research domains provide authoritative insights into the transformative potential of this synergy. As editors, we are proud to present a curated collection of contributions that reflect the latest research findings, innovations, and best practices in IA technology. The editors'objective is to provide a nuanced and authoritative exploration of the AI-IoT nexus, with the aim of inspiring further research, collaboration, and innovation in the pursuit of excellence in Artificial Intelligence.

This book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, MLN 2023, held in Paris, France, during November 28–30, 2023. The 18 full papers included in this book were carefully reviewed and selected from 34 submissions. The conference aims at providing a top forum for researchers and practitioners to present and discuss new trends in machine learning, deep learning, pattern recognition and optimization for network architectures and services.

This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.

This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.

These proceedings offer an insightful exploration of integrating data analytics in system engineering. This book highlights the essential role of data in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering. It is a must-read for anyone keen on understanding and participating in the ongoing evolution of system engineering in our data-centric world.

This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings.This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.

This book constitutes the revised selected papers of the 13th International Conference on HPCST 2023, held in Barnaul, Russia, during May 19–20, 2023.The 21 full papers included in this book were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections as follows: Hardware for High-Performance Computing and Signal Processing; Information Technologies and Computer Simulation of Physical Phenomena; Computing Technologies in Data Analysis and Decision Making; Information and Computing Technologies in Automation and Control Science; Computing Technologies in Information Security Applications.

This open access book explores the multifaceted interplay of technology, knowledge, and place. While digital technology is increasingly influencing our way of knowing, conversely it is itself the consequence of human creativity and local social interaction. Part I analyzes how digital technologies transform markets through artificial intelligence and decentralized blockchain models. Its contributions discuss novel governance mechanisms, including the responsible use and analysis of big data. Part II illustrates various ways in which technology supports humanity, be it algorithms supporting complex decision-making processes or the use of robotics in care services. The chapters highlight that technology's efficiency and potential rely on social norms and human capital. Finally, Part III shows that digitization is generating vibrant entrepreneurship, reflected in geographically clustered urban scale-up economies, as well as opening up new ways for people to connect with one another, organize civic engagement and enable new forms of labor. The book offers theoretical reflections as well as empirical cases from the United States, Canada, Japan, South Africa, and Europe. This volume provides a valuable read for scholars, students and professionals in the fields of knowledge creation, technology and governance.

The world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs significant restoration before it can sustain crops again. By 2030, the water supply will fall 40% short of meeting global demand. Moreover, looming climate change poses additional challenge to increasing food production to feed 10 billion people by 2050. Current major agricultural systems are on a largely unsustainable trajectory because of their contributions to greenhouse gas emissions, water pollution, and biodiversity loss.For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production. They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sustainable farming and economic benefits. This book summarizes the latest advances in AI-integration of agriculture practices. Specific focus includes but not limited to, big data, yield mapping, pests management, and optimal fertigation. As such, it presents a forward-looking approach to meet multiple UN Sustainable Development Goals, specifically, SDG 2, 6, 13 and 15.

This book collects contributions of forefront research and practices related to the use of the enabling technologies of Industry 4.0 in the architecture and design fields and their impact on the UN's Sustainable Developments goals. The book is structured into three sections (research, practice, and technologies), with the goal of creating a new framework useful for widespread awareness necessary to initiate technology transfer processes for the benefit of the public sector, universities, research centers, and innovative companies, and a new professional figure capable of controlling the entire process is essential. Thus, the book chapters arouse a series of relevant topics such as computational and parametric design, performance-based architecture, data-driven design strategies, parametric environmental design and analysis, computational and parametric structural design and analysis, AI and machine learning, BIM and interoperability, VR and AR, digital and robotic fabrication, additive manufacturing and 3D printing, R&D and entrepreneurship, circular architecture, and didactics. In the post-digital era, where the essence of design lies in the control and information of the process that holistically involves all the aspects mentioned above, rather than in formal research, it is necessary to understand technologies and analyze the advantages that they can bring in terms of environmental sustainability and product innovation.

This book gathers peer-reviewed contributions presented at the 5th International Conference on Structural Engineering and Construction Management (SECON'24), held in Angamaly, Kerala, India, on 5–7 June 2024. The meeting served as a fertile platform for discussion, sharing sound knowledge and introducing novel ideas on issues related to sustainable construction and design for the future. The respective contributions address various aspects of numerical modeling and simulation in structural engineering, structural dynamics and earthquake engineering, advanced analysis and design of foundations, BIM, building energy management, and technical project management. Accordingly, the book offers a valuable, up-to-date tool and essential overview of the subject for scientists and practitioners alike, and will inspire further investigations and research.

This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.

This book highlights the challenges that artificial intelligence (AI), robotics, the Internet of Things (IoT), and other emerging digital technologies pose to existing EU and national liability legislation, while also tracing the evolution of the relevant EU policy and legal framework. Recognising that Member States'current national fault-based liability rules are ill-suited to handle compensation claims for AI-related harm, the book emphasises the difficulty victims face in proving fault and causation due to AI's unique characteristics, such as autonomy and opacity (“black box” effect). Similarly, the current Product Liability Directive (PLD) has several shortcomings: certain products, economic actors, and types of damage in the digital and circular economy are not covered under strict liability; proving defectiveness and establishing a causal link with damage, especially for complex products, is often challenging; in addition, liability claims are subject to restrictive limits and thresholds. The book discusses in detail the European Commission's proposal for a Directive on harmonising civil liability rules for damage caused by AI systems (the ‘proposed AI Liability Directive'). It also offers a thorough analysis of the European Commission's proposal for a revised Product Liability Directive, compares it with the positions of the Council of the EU and the European Parliament, and discusses the final text approved by the Plenary of the European Parliament in March 2024. The book incorporates comments from various parties, offering insights into the approaches of EU institutions and the conflicting interests among stakeholders. Presenting carefully grounded arguments, this volume serves as a valuable resource for understanding the interplay between policy and law within the new EU liability framework for AI and other innovative products. This forthcoming EU regime represents a significant shift in the liability landscape, potentially heightening litigation risks. Its success will depend on achieving the EU's overarching objective: ensuring fair compensation while fostering technological innovation.

Nowadays, the efficient sustainable systems are becoming more and more important for sustainable life either in urban and in rural environments. Despite the advances in technologies, it is always important to consider the environment where we live. Hence, the present book presents some recent and fresh works that deal with environmental problems including water quality, wastewater management, air pollution monitoring, renewable energy solutions, food security solutions, and so on. Besides, the book investigates different applications of Artificial Intelligence for previous environmental issues. This book is targeting junior researchers, graduate and graduate students, environmental specialists, and all people who want to learn more about recent advancement in environmental solutions.

This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge.'Intelligent Business'is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.

The Internet of Educational Things - Enhancing Students'Engagement and Learning Performance delves into the transformative potential of the Internet of Things (IoT) within education. This comprehensive guide explores how IoT technology can revolutionize traditional teaching methods and learning environments, fostering more interactive, adaptive, and data-driven experiences. The book covers a wide range of topics, including the development of IoT-enabled classrooms, intelligent tutoring systems, and online labs. By leveraging real-time data and advanced analytics, educators can personalize learning paths, enhance student engagement, and optimize resource allocation. Practical applications, real-world examples, and case studies illustrate the benefits and challenges of incorporating IoT in educational settings, making it a valuable resource for students, teachers, researchers, and policymakers. The book provides practical implementation strategies and addresses critical issues such as data privacy, cybersecurity, and ethical considerations. It thoroughly examines the latest technologies, including AI, AR, VR, and digital twins, and their integration with IoT to create futuristic learning environments. The book's unique contribution lies in its emphasis on securing IoT systems and its recommendations for overcoming infrastructure readiness and staff training obstacles. By presenting a forward-looking perspective on the role of IoT in education, this book aims to equip stakeholders with the knowledge and tools necessary to create innovative, inclusive, and secure learning ecosystems that prepare students for the future.

This book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry.

In today's era of digital transformation, the logistics sector is one of the most technology-intensive industries. This book provides a comprehensive overview of the IT infrastructure required for company operations, the types of enterprise software used in logistics, and current data collection technologies. It addresses the terminology, information flows, and application contexts of the necessary software, helping readers to see the big picture without being overwhelmed by technical details. It explains principal methodologies for modelling and designing systems and describes the objectives of project management and system analysis, not to mention why they are so essential to developing information systems. It also defines critical terms before turning to sector-specific hardware and software solutions for logistics operations: data collection, data processing, and data analytics solutions. In addition, the book includes sections that introduce readers to programming and the core of the database, piquing their interest and guiding them to a higher level of specialization. Study questions are provided at the end of each chapter to test reader comprehension. This book will be a helpful resource for students in logistics or professionals working in the fields of business administration, foreign trade, industrial engineering, ERP, or MIS who want to advance their knowledge and skills in the logistics industry.

This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.

This book addresses the key aspects concerning the rapid development of mechatronics. It also helps to understand the respective great significance of cooperation between researchers and professionals. Mechatronics is crucial for many areas of life. However, its invaluable contribution is particularly seen in the Fourth Industrial Revolution (Industry 4.0). In response to the current issues in mechatronics, the 6th International Conference Mechatronics 2023: Ideas for Industrial Applications was organized from 11 to 13 December 2023 in Krakow, Poland. The following topics were discussed: artificial intelligence, robotics, image processing, software, control systems, space applications, modeling and identification of mechatronic systems, smart materials, and prototype construction with 3D printing. This book provides the solutions ready for implementation in industry. These solutions grew out of the ideas exchange between the Conference attendees representing various backgrounds.

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

This book provides a comprehensive overview of deception in autonomous transport systems. This involves investigating the threats facing autonomous transport systems and how they can contribute towards a deceptive attack, followed by their potential impact if successful, and finally, how they can be mitigated. The work in this book is grouped into three parts. This first part focuses on the area of smart cities, policies, and ethics. This includes critically appraising the trade-off between functionality and security with connected and autonomous vehicles. The second discusses a range of AI applications in the wider field of smart transport and mobility, such as detecting anomalies in vehicle behaviour to investigating detecting disobedient vehicles. Finally, the third part presents and discusses cybersecurity-related aspects to consider when dealing with Connected and Autonomous Vehicles (CAVs) and smart urban infrastructure. This includes analysing different attacks to investigating secure communication technologies. CAVs are a game-changing technology with the potential to transform the way transport is perceived, mobility is serviced, travel ecosystems ‘behave', and cities and societies as a whole function. There are many foreseen safety, accessibility and sustainability benefits resulting from the adoption of CAVs because of their ability, in theory, to operate error-free and collaboratively, ranging from accident prevention, congestion reduction and decreased carbon emissions to time savings, increased social inclusion, optimised routing, and better traffic control. However, no matter what the expected benefits are, CAVs are at the same time susceptible to an unprecedented number of new digital and physical threats. The severity of these threats has resulted in an increased effort to deepen our understanding of CAVs when it comes to their safety and resilience. In this complex and multi-faceted scenario, this book aims to provide an extensive overview of the risks related to the malicious exploitation of CAVs and beyond, the potential ways in which vulnerabilities can be exploited, prevention and mitigation policies and techniques, and the impact that the non-acceptance of Connected and Autonomous Mobility can have on the Smart City agenda. This book targets researchers, practitioners, and advanced-level students in computer science and transport engineering.

Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.