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This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation.This book: Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectors Presents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosis Highlights the importance of using smart technologies such as artificial intelligence, the Internet of Things, digital twins, machine learning, and deep learning for mechatronic systems Illustrates the concept of controlling mechatronics devices using virtual reality (VR), augmented reality, and mixed reality Explains the need for the Internet of Things for mechatronics systems and applications in biomedical and pharmaceutical industries It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, industrial and manufacturing engineering, electrical engineering, electrical and electronics engineering, automotive engineering, and computer engineering.

Ectodermal Dysplasias (ED) are a diverse group of genetic disorders characterized by congenital defects of two or more ectodermal structures (e.g., sweat gland, tooth, nail, hair), that count about 100 different manifestations. Therefore, the multidisciplinary aspect is a novel but crucial approach to correctly diagnose and treat this kind of diseases and eventually direct patients to specialized centers. A new classification has been proposed as well as new therapeutic options, such as the first prenatal protein replacement therapy for a genetic disease, X-linked hypohidrotic ectodermal dysplasia. The chapters of this book address all relevant topics, starting with epidemiology and embryology, disease classification, molecular biology, EDA1-associated ED, WNT10A-related ED, and p63-related ED. A chapter on ED caused by defects of structural proteins is included and one specifically devoted to differential diagnoses. Specific chapters describe diagnostic assessments and treatment: odontostomatological signs and therapy, ophthalmological or otorhinolaringoiatric signs, other organ involvement, neurological and neuropsychological issues. The final part is dedicated to the most recent developments in molecular therapy and the extremely important role of parents'and patients'associations. Written by internationally renowned experts, this handy resource will be of valuable help for a variety of specialists who deal with ectodermal dysplasias in their daily clinical work, e.g., pediatricians, dermatologists, ENT-specialists, dentists.

Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.

Geophysical exploration methods are very expensive and invasive methods for surveys. Remote sensing methods are non-invasive and much cheaper for investigating the Earth's surface. This book bridges this gap and aims to integrate exploration geophysics with remote sensing as a cost-effective method which is easy to implement for prospecting in different areas. It provides exploration geophysicists with the necessary information to use advanced remote sensing technology in the exploration of oil and gas, minerals, and groundwater. It describes the integration of remote sensing in each of the nine exploration methods based on over 11 case studies from different countries across the globe.Features: Describes the geophysical exploration methods that geophysicists frequently use, along with suitable remote sensing techniques Offers a well-structured one-stop guide for finding a suitable remote sensing technique for a specific geophysical exploration method Provides case studies on the exploration of oil, gas, and groundwater with step-by-step instructions using remote sensing technology Serves as a practical field book for exploration geophysicists who never used or rarely use remote sensing. Enables exploration geophysicists to understand and interpret remote sensing data for the assessment of complex explorations This book is an excellent resource for professionals, researchers, academics, and students with a background in remote sensing across many disciplines in Earth sciences such as geology, hydrology, petrology, mining, geography, geosciences, etc.