Books in Physical sciences and engineering

Agricultural Applications of Earth Observation

1st Edition
February 1, 2026
Peng Fu
English

Agricultural Applications of Earth Observation details the revolutionary impact of satellite and remote sensing technologies in enhancing agricultural practices. It bridges the knowledge gap by making advanced satellite and sensor data understandable and applicable, enabling readers to select the best tools for specific agricultural needs. Real-world case studies and practical examples demonstrate the successful implementation of Earth Observation technologies in agriculture, inspiring readers with tangible results and encouraging innovative thinking. Agricultural Applications of Earth Observation enables readers to apply Earth Observation technologies to enhance agronomical sustainability and contribute to more environmentally friendly practices. With detailed methodologies and a range of additional supplementary elements, the book equips readers with the knowledge and tools to drive the future of agriculture into a more sustainable era.

Satellite Remote Sensing for Forest and Environmental Monitoring

1st Edition
February 1, 2026
Pablo Rodríguez Gonzálvez + 2 more
English

Satellite Remote Sensing for Forest and Environmental Monitoring provides a thorough examination of the applications and methods of satellite remote sensing for analyzing and managing forest environments. From forest height mapping to biodiversity modeling, the book explores a variety of Earth observation applications across cutting-edge sensors and platforms. The book addresses the ability of satelitte technologies to observe and analyse ecological functions, conditions, and socioeconomic benefits for sustainable nature protection in the face of anthropogenic change, offering practical tools and strategies for large-scale forest inventories, fire risk assessment, and freshwater management. Satellite Remote Sensing for Forest and Environmental Monitoring offers postgraduates, researchers, and academics in remote sensing and geospatial technologies, particularly those focusing on forestry applications and related disciplines insights into environmental changes, land use patterns, vegetation mapping, and climate indicators.

Composite Overwrapped Pressure Vessels (COPV)

1st Edition
February 1, 2026
Michael T. Kezirian
English

Composite Overwrapped Pressure Vessels (COPV): Design and Safe Operations for Aerospace and Automotive Applications facilitates acquisition of the technical skillsets essential to navigate design, manufacture, qualification and acceptance testing, handling, and operation of these complex systems.The book follows a cogent structure that accompanies readers through an introductory historical evolution of the pressure vessel industry and discussions of applications for both the aerospace and automotive sectors, to then delve into manufacturing specifications and processes as the two industries have relatively different approaches to certification. Safely using pressure vessels, however, primarily requires an understanding of hazards and their corresponding failure modes, which establish and regulate specific requirements to mitigate any associated risks. Coherent with this objective, an overview of standards developed by the AIAA, CGA, and ISO is presented to provide a framework for quality management and is followed by rigorous coverage of analytical aspects, including computational models, non-destructive inspection techniques, and testing methodologies to verify reliability of the COPVs devised. The practical insights on operational considerations and end-of-life scenarios conclude this in-depth investigation, ensuring that engineering professionals and academic audiences alike are offered a well-rounded resource to further advance optimized, but also cost-effective real-world utilization of this revolutionary storage hardware for pressurized fluids in launch vehicles, spacecraft, and hydrogen or natural gas-fueled ground vehicles.

Natural Organic Matter (NOM) in Engineered Aquatic Systems

1st Edition
February 1, 2026
Thabo T.I. Nkambule + 4 more
English

Natural Organic Matter (NOM) in Engineered Aquatic Systems: Advanced Data-Driven Approaches and Climate Change Impact on NOM Characterization and Treatment provides an in-depth exploration of Natural Organic Matter (NOM) in drinking water, addressing its sources, occurrence, and environmental impacts, particularly in the context of climate change. It delves into the challenges NOM poses for drinking water treatment, including the formation of disinfection by-products and operational issues like coagulation and membrane treatment. The authors, all experts in the field, review a range of NOM removal technologies, such as coagulation, oxidation, and biofiltration. Special attention is given to high NOM concentrations in the Northern Cape and their implications for water treatment. The treatability of NOM in South African water supplies under changing climatic conditions is examined, highlighting drivers such as temperature, drought, and storm events. Finally, the book explores the potential of using Artificial Intelligence and Machine Learning techniques to optimize NOM treatment processes, offering insights into various models and their applications in managing NOM in drinking water systems.

Multidimensional Signal Processing

1st Edition
Volume 54
February 1, 2026
Arni S.R. Srinivasa Rao + 3 more
English

Learning-Driven Game Theory for AI

1st Edition
February 1, 2026
Mehdi Salimi + 1 more
English

Learning-Driven Game Theory for AI: Concepts, Models, and Applications offers in-depth coverage of recent methodological and conceptual advancements in various disciplines of Dynamic Games, namely differential and discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in a variety of fields, such as computer science, biology, economics, and management science. In this book, the authors bridge the gap between traditional game theory and its modern applications in artificial intelligence (AI) and related technological fields. The dynamic nature of contemporary problems in robotics, cybersecurity, machine learning, and multi-agent systems requires game-theoretic solutions that go beyond classical methods. The book delves into the rapidly growing intersection of pursuit differential games and AI, focusing on how these advanced game-theoretic models can be applied to modern AI systems, making it an indispensable resource for both academics and professionals. The book also provides a variety of applications demonstrating the practical integration of AI and game theory across various disciplines, such as autonomous systems, federated learning, and distributed decision-making frameworks. The book also explores the use of game theory in reinforcement learning, swarm intelligence, multi-agent coordination, and cybersecurity. These are critical areas where AI and dynamic games converge. Each chapter covers a different facet of dynamic games, offering readers a comprehensive yet focused exploration of topics such as differential and discrete-time games, evolutionary dynamics, and repeated and stochastic games. The absence of static games ensures a concentrated focus on the dynamic, evolving problems that are most relevant today.

Programming Massively Parallel Processors

5th Edition
February 1, 2026
Wen-mei W. Hwu + 2 more
English

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This new edition has been updated for the latest trends, incorporating the latest techniques and technologies to ensure that readers are learning the most current and relevant practices in GPU programming.

Green Hydrogen Generation from Biomass

1st Edition
February 1, 2026
Yasser Vasseghian + 2 more
English

Green Hydrogen Generation from Biomass: Biohydrogen as a Renewable Energy Source is a comprehensive guide that addresses the critical need for cleaner and more sustainable energy sources through hydrogen. This book delves into the promising field of green hydrogen, focusing on the utilization of biomass for hydrogen production. It offers a thorough examination of the theoretical foundations, practical applications, and future prospects of biohydrogen as a renewable energy source. The book commences with an introduction to green hydrogen and its production methods, and gradually unfolds into a comprehensive guide on biomass utilization for sustainable biohydrogen generation. It delves into microscopic details, exploring microbial pathways, and discussing advanced techniques such as dark fermentation and photofermentation. The book further sheds light on recent advancements in microbial engineering for enhanced biohydrogen yield and presents a critical evaluation of the environmental impacts alongside a life cycle assessment of biohydrogen. Chapters on biohydrogen storage and distribution, its applications in transportation, and a comparative analysis with commercial hydrogen generation technologies offer a well-rounded perspective. The book concludes with a detailed cost analysis, a techno-economic assessment, policies, legislation, and the innovative application of artificial intelligence in biohydrogen generation from biomass. Green Hydrogen Generation from Biomass: Biohydrogen as a Renewable Energy Source is an invaluable resource for researchers, practitioners, policymakers, and students in the field of renewable energy and sustainability, equipping readers with a holistic understanding of biohydrogen production processes, solutions for technical, economic, and environmental challenges, and discussing integration strategies with existing renewable energy infrastructure.

Industrial Fault Diagnosis and Remaining Useful Life Prediction

1st Edition
February 1, 2026
Hongpeng Yin + 2 more
English

Industrial Fault Diagnosis and Remaining Useful Life Prediction introduces zero-sample learning methods that enable fault diagnosis and Predict Remaining Useful Life (RUL) without the need for labelled fault data. This is particularly valuable in industrial settings where labelled data is scarce or unavailable. Offers step-by-step guidance on implementing zero-shot learning models using real industrial data, reducing the learning curve for practitioners; includes real-world industrial case studies to demonstrate the application of zero-sample learning techniques in various industries, such as manufacturing, energy, and transportation. Such case studies provide readers with actionable insights and practical solutions. The book covers advanced methodologies for predicting the remaining useful life of industrial equipment, supporting readers in optimizing maintenance schedules, reducing downtime and extending the lifespan of critical assets. Covers state-of-the-art algorithms, including deep learning, transfer learning and domain adaptation, tailored for zero-sample scenarios. These tools empower readers to develop robust fault diagnosis and RUL prediction systems, enhancing predictive maintenance capabilities and ensuring the reliability of industrial systems

Essentials of Big Data Analytics

1st Edition
February 1, 2026
Pallavi Chavan + 2 more
English

Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.

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