Books in Physical sciences and engineering

Solar-Driven Photothermal Membrane Distillation

1st Edition
January 1, 2026
Manoj Kumar Sharma + 1 more
English

Solar-driven Photothermal Membrane Distillation: Assessment, Advances, and Challenges explores the intersection of renewable energy, water treatment, membrane technology, and sustainable development. It focuses on membrane distillation, a promising technology for desalination and water purification, and specifically examines the use of solar energy to drive the distillation process. The book addresses challenges and provides practical solutions for implementing and optimizing solar-driven photothermal membrane distillation systems, emphasizing the importance of sustainable water treatment technologies in ensuring water security and environmental conservation. Solar-driven Photothermal Membrane Distillation: Assessment, Advances, and Challenges is a valuable resource for researchers, engineers, practitioners, policymakers, and educators interested in advancing knowledge and promoting the adoption of solar-driven membrane distillation for sustainable water treatment.

Deep Learning for Synthetic Aperture Radar Remote Sensing

1st Edition
January 1, 2026
Michael Schmitt + 1 more
English

Deep Learning for Synthetic Aperture Radar Remote Sensing delves into the transformative synergy between synthetic aperture radar (SAR) and cutting-edge machine learning techniques. Traditionally rooted in signal processing, SAR's active imaging capabilities rise above optical limitations, offering resilience to environmental factors like cloud cover. This book showcases how machine learning augments every stage of SAR image processing, from raw data refinement to advanced information extraction. Through comprehensive coverage of acquisition modes and processing methodologies, including polarimetry and interferometry, this book equips readers with the tools to harness SAR's full potential. Aiming to further enhance remote sensing imaging, it serves as a vital resource for those seeking to integrate SAR data seamlessly into the modern machine learning landscape. Deep Learning for Synthetic Aperture Radar Remote Sensing addresses a critical gap in the intersection of SAR technology and machine learning, offering a pioneering roadmap for researchers and practitioners alike. With its emphasis on modern techniques, it serves as a catalyst for unlocking SAR's untapped potential and shaping the future of Earth observation.

Data Science for Teams

1st Edition
January 1, 2026
Harris V. Georgiou
English

Managing human resources, time allocation, and risk management in R&D projects, particularly in Artificial Intelligence/Machine Learning/Data Analysis, poses unique challenges. Key areas such as model design, experimental planning, system integration, and evaluation protocols require specialized attention. In most cases, the research tends to focus primarily on one of the two main aspects: either the technical aspect of AI/ML/DA or the teams’ effort, or the typical management aspect and team members’ roles in such a project. Both are equally import for successful real-world R&D, but they are rarely examined together and tightly correlated. Data Science for Teams: 20 Lessons from the Fieldwork addresses the issue of how to deal with all these aspects within the context of real-world R&D projects, which are a distinct class of their own. The book shows the everyday effort within the team, and the adhesive substance in between that makes everything work. The core material in this book is organized over four main Parts with five Lessons each. Author Harris Georgiou goes into the difficulties progressively and dives into the challenges one step at a time, using a typical timeline profile of an R&D project as a loose template. From the formation of a team to the delivery of final results, whether it is a feasibility study or an integrated system, the content of each Lesson revisits hints, ideas and events from real-world projects in these fields, ranging from medical diagnostics and big data analytics to air traffic control and industrial process optimization. The scope of DA and ML is the underlying context for all, but most importantly the main focus is the team: how its work is organized, executed, adjusted, and optimized. Data Science for Teams presents a parallel narrative journey, with an imaginary team and project assignment as an example, running an R&D project from day one to its finish line. Every Lesson is explained and demonstrated within the team narrative, including personal hints and paradigms from real-world projects.

Data Governance

3rd Edition
January 1, 2026
John Ladley + 1 more
English

Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program, Third Edition, is for any student, executive, manager, or data professional who needs to understand and implement a data governance program, to ensure consistent, accurate and reliable data across their organization. The problem of managing data continues to grow with issues surrounding the cost of storage, exponential growth, as well as administrative, management, and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. John Ladley guides readers though the detailed process of developing a Data Governance program, including an introduction to the concepts and principles of Data Governance, Data literacy concepts, business case, strategy, systems architecture and design, the importance of team engagement, implementation, and change management. The Third Edition includes all-new coverage embracing new data capabilities such as ethics and AI integration, as well as key regulatory changes. Data governance is now inevitable, and no longer an option. John Ladley examines the impact of society on data and the relevance for organizations to simply “do better.” The Third Edition updates coverage on data governance tools to achieve delivery of necessary capabilities. This valuable resource provides foundational understanding to advanced students in Data Management and related courses, as well as comprehensive guidance for beginning professionals, managers or analysts looking to improve their processes. With the provided framework and case studies, all students and professionals in the data governance field will gain key insights into launching successful and money-saving data governance programs.

Microbiome in Ecosystem: A Sustainable Approach for Wastewater Treatment

1st Edition
January 1, 2026
Maulin P. Shah + 1 more
English

Microbiome in Ecosystem: A Sustainable Approach for Wastewater Treatment: Developments in Wastewater Treatment Research and Processes delves deeply into the pioneering use of microbiome for the sustainable treatment of waste water. The book examines the biochemical, physicochemical, and molecular pathways of microbes involved in waste water treatment processes, elucidating their indispensable contributions to environmental preservation and sustainable development. From the exploration of microbiome-generated nanoparticles to the discourse on bioengineering methodologies and the synthesis of bioactive metabolites and enzymes, the book provides a thorough analysis of state-of-the-art techniques and advancements in the field. The book reveals invaluable insights into the microbiome of diverse ecosystems, including their multifaceted functions, interactions, and the underlying molecular, genetic, and biochemical processes relevant to waste water treatment. Emphasizing global challenges and offering forward-looking perspectives, the book serves as an essential reference for students, researchers, scientists, and professionals across various disciplines such as biotechnology, microbiology, environmental science, and waste treatment engineering.

The Manila Clam Ruditapes Philippinarum

1st Edition
January 1, 2026
John Humphreys
English

The Manila Clam Ruditapes Philippinarum: Science and Significance of a Globalised Species is an indispensable volume in the Estuarine and Coastal Science" book series offering the only comprehensive account of the Manila clam, covering its journey from its native range in China, Japan, and Korea to its exploitation and establishment in the USA, Canada, Europe, and the Mediterranean. By examining the science and global spread of this successful species, the book addresses broader issues of biological globalization and the exploitation of nature, posing significant questions and challenges for conservation policy and sustainable development in the Anthropocene era. Authored by Prof. John Humphreys, ECSA's President-Elect, this book draws on a multidisciplinary range of literature to cover essential information in the areas of aquaculture and marine biology.

Artificial Intelligence for Energy Efficiency

1st Edition
January 1, 2026
Dasheng Lee + 2 more
English

Artificial Intelligence for Energy Efficiency is a comprehensive exploration of AI application technologies. The book integrates AI algorithms with the operational principles of electrical machinery and energy systems and introduces how these algorithms can alter the operational characteristics of such systems. With a focus on their use in enhancing energy efficiency, it imparts interdisciplinary knowledge and a deep understanding of the principles and methods of AI applications. The book begins with an overview of global trends in enhancing energy efficiency, followed by an introduction to AI algorithms applied in this field. Subsequent chapters, supported by industry case studies, delve into AI applications in enhancing motor efficiency, building and energy saving for building equipment, and smart city development. The book also addresses AI computing power saving and discusses the evolution of AI and the limits of energy efficiency improvement. It concludes with future prospects and the most beneficial application of AI for sustainable human development. Artificial Intelligence for Energy Efficiency is an essential read for graduate students in mechanical, electrical, architectural, and energy-related fields, as well as researchers interested in the intersection of AI and energy efficiency. This comprehensive guide offers a wealth of research case studies, making it a valuable reference tool for professionals in the energy sector.

Hydrogels in Orthopaedic Tissue Engineering

1st Edition
January 1, 2026
Balaji Ayyanar Chinnappan + 6 more
English

Hydrogels in Orthopaedic Tissue Engineering: Advances in Bone and Cartilage Regeneration is a comprehensive evaluation of new and existing biomaterials transforming orthopedic care: in particular, it examines the science and application of hydrogels, showcasing their remarkable ability to mimic natural tissue environments, promote healing, and integrate seamlessly with the body. It reviews recent advances in hydrogel technology, including their design, synthesis, and functionalization for enhanced biocompatibility and mechanical properties. Each chapter provides an in-depth analysis of hydrogel-based strategies for repairing and regenerating bone and cartilage, addressing critical challenges such as vascularization, cell differentiation, and long-term stability. Through detailed case, the book offers invaluable insights for researchers, clinicians, and biomedical engineers

Machine Learning and Bayesian Methods in Inverse Heat Transfer

1st Edition
January 1, 2026
Balaji Srinivasan + 1 more
English

Machine Learning and Bayesian Methods in Inverse Heat Transfer offers a comprehensive exploration of inverse problems in heat transfer, blending classical techniques with modern advancements in machine learning and Bayesian methods. This essential guide provides a hands-on approach with practical examples, making complex concepts accessible to readers seeking to deepen their understanding of this critical field. The text covers essential topics including Introduction to Inverse Problems, Statistical Description of Errors and General Approach, Classical Techniques, Bayesian Methods, and a Machine Learning Approach to Inverse Problems. Readers will explore key concepts such as Gaussian distribution, linear and non-linear regression, Gauss-Newton algorithm, Tikhonov regularization, and more, gaining a solid foundation in applying these methods to real-world heat transfer scenarios. For engineers, scientists, senior undergraduates, graduates, and researchers in heat transfer and related fields, this book serves as a vital resource. By offering clear explanations, practical examples, and MATLAB codes, it empowers readers to tackle inverse problems with confidence. Whether readers are practicing engineers or graduate students specializing in heat and mass transfer, this book equips them with the tools and knowledge to excel and further advances in their field.

Edge Intelligence

1st Edition
January 1, 2026
Jawad Ahmad + 5 more
English

Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.

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