Books in Physical sciences and engineering

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.

Design Reliability and Maintainability of Energy Systems

1st Edition
February 1, 2026
Fausto Pedro Garcia Marquez + 2 more
English

Designing reliable and maintainable Energy Systems presents researchers with the knowledge to create robust energy infrastructures. The book presents the core principles of reliability and maintainability, emphasizing how to minimize failures and ensure continuous operation through strategic design and proactive measures. Additionally, principles and strategies that facilitate efficient inspect, repair, and system upgrades are explored. Chapters present novel approaches to energy system design, including forecasting, the Internet-of-Things (IoT), machine learning, digital twin technology, and big data analysis, to enhance energy system resilience. Case studies and worked problems are included to demonstrate the practical applications of these technologies in critical areas such as preventing power outages, minimizing disruptions, and accurately assessing system resilience and challenges posed by climate change, cybersecurity threats, microgrid management, and the unique demands of aircraft energy systems. Designing reliable and maintainable Energy Systems is valuable to energy systems engineers and researchers working to develop stable and consistent power supplies to address the pressing challenges of climate change and the ongoing energy transition.

Nanomaterials-enabled biosensors for food safety detection

1st Edition
Volume 114
February 1, 2026
Damià Barceló
English

Iron Oxide-Based Nanomaterials

1st Edition
January 15, 2026
Nisar Ali + 3 more
English
Paperback
9 7 8 0 4 4 3 2 7 6 7 4 3
eBook
9 7 8 0 4 4 3 2 7 6 7 5 0

Iron Oxide-Based Nanomaterials: From Fundamentals to Emerging Applications provides a detailed description of iron oxide nanomaterials, their synthesis, and characterization, while also exploring a wide range of applications of iron oxide nanocomposites and nanomaterials in different fields, including energy, sensing, environmental remediation, biomedical, and enzymes. The book provides all the necessary basic information about iron-oxide-based nanomaterials, including structural aspects, synthesis-to-structu... relationships, and applications of these materials in various areas. It also explains the different synthesis parameters that control the surface morphology, crystallinity, and activity of iron oxides desirable for different applications. Starting with an initial section on fundamentals, the book then focuses the following three sections on the key application area of these particles: energy, biomedicine, and the environment.

Transforming Industries, Empowering Societies

1st Edition
January 12, 2026
Parikshit Narendra Mahalle + 3 more
English
Paperback
9 7 8 0 4 4 3 3 2 8 7 8 7
eBook
9 7 8 0 4 4 3 3 2 8 7 9 4

With the ever-increasing use of AI technologies, ethical considerations take on greater importance. Human-centric AI emphasizes transparency, making sure that AI systems work in a way that users can comprehend and trust. Additionally, it addresses bias and discrimination issues, ensuring fairness and inclusion in the design and implementation of AI apps. By emphasizing user experience, security, and human-centric AI, the goal is to improve collaboration between people and machines, rather than replacing human decisions, creating a future where technology is a force for good, benefiting both businesses and society. Written from a technological point of view, Industry 5.0 for Society 5.0 explores the impact of cutting-edge technologies, including the Internet of Things, cloud, artificial intelligence, and digital twin, on individuals and community, and considers how they can be used to solve societal problems. The book considers how these technologies can positively affect industry, healthcare, agriculture, design and manufacture, contributing to the development of a sustainable environment that ultimately creates a positive and mutually beneficial relationship between people and AI.

Internet of Multimedia Things Security

1st Edition
January 12, 2026
Gururaj H L + 3 more
English
Paperback
9 7 8 0 4 4 3 3 2 8 8 4 8
eBook
9 7 8 0 4 4 3 3 2 8 8 5 5

The proliferation of IoT devices and the exponential growth of multimedia brings opportunities and challenges. IoMT has uses in a variety of fields, including healthcare, education, agriculture, communication and entertainment, but IoMT networks are susceptible to security issues that must be addressed. Internet of Multimedia Things Security: Tools and Applications introduces the principles behind the IoMT by exploring three converging three domains: Internet of Things, Data Security, and Multimedia. It covers vulnerabilities such as cyber-attacks, unauthorized access, data breaches, and privacy preservation, and provides case studies to assist research students and engineers in securely incorporate multimedia into their applications.

Federated Learning for the Metaverse

1st Edition
January 11, 2026
Noor Zaman Jhanjhi + 3 more
English
Paperback
9 7 8 0 4 4 3 3 3 8 9 3 9
eBook
9 7 8 0 4 4 3 3 3 8 9 4 6

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.

Predictive Modeling in Polymer Science

1st Edition
January 5, 2026
Mohammad Hossein Keshavarz
English

Predictive Modeling in Polymer Science: Properties and Performance introduces the latest methods for predicting polymer properties and addressing cost-effectiveness and desirable properties for product design and production. The book discusses a range of prediction methods and models, providing a comprehensive overview of polymer behaviors and properties essential for material performance, such as flammability properties, solubility, intrinsic viscosity, glass transition temperatures, and refractive index. Readers will gain a deep understanding of predictive modeling techniques that enable the design of polymers with desired properties, saving time and resources. This book provides a comprehensive guide for scientists, engineers, and industry professionals interested on predicting and optimizing polymer properties for material design.

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