The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, “Deep Learning and Edge Computing for Internet of Things”, addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things.

Mathematics is publishing a Special Issue to honor Prof. Sally McClean on the occasion of her semi-retirement and in recognition of her important research contributions. Sally Ida McClean was born in Belfast and received her first degree, an M.A. in Mathematics, from the University of Oxford in 1970. She earned an M.Sc. in Mathematical Statistics and Operations Research from Cardiff University in 1972, and completed her Ph.D. in 1976 at Ulster University at Coleraine. Her contribution to mathematical modeling in healthcare planning is enormous, and, in particular, her studies on improving the wellbeing of the elderly are greatly respected amongst her peers. She is currently a Professor of Mathematics at Ulster University. Her main research interests are in Stochastic Modeling and Optimization for Healthcare Planning and Computer Science. Stochastic processes are some of the most important tools in many areas of science, such as biology, operational research, the social sciences, stochastic finance, etc. Important characteristics in these areas evolve with time in a relatively random way, and since stochastic processes are mainly sequences or families of random variables, in which their index represents time, they are the natural tool to use. The theory and applications of stochastic processes emerged in the genesis of one of the richest ones, that is, Brownian motion. This was rather unexpected since Brownian motion is a beautiful object which is at the same time a martingale, a Gaussian process, a diffusion, a Levy process, a Markov process, etc.—concepts that were discovered quite latter in the evolution of time.

This reprint offers a comprehensive collection of cutting-edge research in the dynamics, control, and actuation of aerospace systems, addressing critical challenges and innovative solutions within aerospace engineering. By integrating novel methodologies and practical applications, this reprint showcases advancements in distributed control for space manipulators, state-dependent control for drag-free satellites, hybrid propulsion systems for interplanetary CubeSats, and advanced strategies for aero-engine and spacecraft control. A diverse range of techniques, including sliding mode control, model predictive control, decentralized LQR, and adaptive fuzzy control, are explored to achieve robust solutions for trajectory tracking, vibration suppression, and integrated guidance and control. Furthermore, this reprint highlights the transformative potential of advanced materials and sensing technologies, such as piezoelectric sensors, fiber Bragg grating (FBG) systems, and smart materials, in enhancing vibration suppression, structural health monitoring, and system reliability. Through a combination of theoretical modeling, computational analysis, and experimental validation, the studies provide a holistic perspective on the design and optimization of aerospace systems. Aimed at researchers, engineers, and professionals, this reprint serves as an invaluable resource for understanding the latest advancements and future directions in aerospace dynamics, control, and actuation technologies.

The hydrogen Lyman-alpha line is of utmost importance to many fields of astrophysics. This UV line being conveniently redshifted with distance to the visible and even near infrared wavelength ranges, it is observable from the ground, and provides the main observational window on the formation and evolution of high redshift galaxies. Absorbing systems that would otherwise go unnoticed are revealed through the Lyman-alpha forest, Lyman-limit, and damped Lyman-alpha systems, tracing the distribution of baryonic matter on large scales, and its chemical enrichment.

The book contains proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems ETBS 2023. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing, and instrumentation, wearable sensors for health care monitoring, biomedical imaging, and bio-materials, modeling, and simulation in medicine biomedical, and health informatics. The book serves as a useful guide for educators, researchers, and developers working in the areas of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book also provides support and aid to the researchers involved in designing the latest advancements in healthcare technologies.

Covers fundamental and advanced Java database programming techniques for beginning and experienced readers
This book covers the practical considerations and applications in database programming using Java NetBeans IDE, JavaServer Pages, JavaServer Faces, and Java Beans, and comes complete with authentic examples and detailed explanations.

Today, digital technologies represent an absolute must when it comes to creating new products and factories. However, day-to-day product development and manufacturing engineering operations have still only unlocked roughly fifty percent of the "digital potential". The question is why? This book provides compelling answers and remedies to that question. Its goal is to identify the main strengths and weaknesses of today’s set-up for digital engineering working solutions, and to outline important trends and developments for the future.

The latest edition of this text provides a comprehensive update on the current standards and newest skills in diagnostic endoscopy for pre/neoplastic lesions of the upper and lower gastrointestinal tract. The atlas outlines procedural requirements and strategies for detection and endoscopic staging (prediction of pT category) of small and minute early cancers, and presents endoscopic and high-resolution endosonographic criteria for submucosal invasiveness.

This book discusses unique ion channels and transporters that are located within epithelial tissues of various organs including the kidney, intestine, pancreas and respiratory tract. The authors will show, that each of these channels and transporters play crucial roles in transepithelial ion and fluid transport across epithelia and their responsibility in maintaining homeostasis. The reader gains an understanding of the fundamentals of epithelial ion transport, in terms of function, modelling, regulation, trafficking, structure and pharmacology. This is the third of three volumes highlighting the importance of epithelial ion channels and transporters in basic physiology and pathophysiology of human diseases.

The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, 2nd Edition” of the MDPI Mathematics journal. The content of this Special Issue encompasses a diverse array of topics related to artificial intelligence, spanning both foundational theories and practical applications. It covers advancements in deep learning and machine learning techniques, including neural networks and reinforcement learning, as well as the growing field of federated learning. This issue also explores developments in natural language processing and multimodal data analysis, alongside optimization strategies inspired by evolutionary algorithms and probabilistic models, such as Gaussian processes. It also highlights research in feature selection and support vector machines, innovations in autonomous driving and trajectory prediction, and broader applications of artificial intelligence in decision-making and intelligent systems. We anticipate that the scientific findings presented in this volume will offer valuable references and inspiration to those eager to explore new frontiers in artificial intelligence, machine learning, and their extensive real-world applications.

This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization.

This book constitutes the first part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021). The CoMeSySo 2021 Conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results.
The software engineering, computer science, and artificial intelligence are crucial topics for the research within an intelligent systems problem domain.

Microbiological Testing of Foods, Chemical Examinations of Foods, Adulteration Testing, Food Management Systems

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