Skip to main content

Books in Physical sciences and engineering

  • Rubber Materials

    Fundamentals, Sustainability, and Applications
    • 1st Edition
    • Marianella Hernández Santana + 1 more
    • English
    Rubber Materials: Fundamentals, Sustainability, and Applications provides a fresh perspective on the potential of rubber materials in the 21st century when our global society faces unprecedented challenges related to resource consumption, waste management, and environmental impact. The book begins with an overview of the foundation of rubber science, covering fundamental principles, recent advancements, and future challenges. Sections discuss sustainability aspects and emerging trends within elastomer science and technology, all within the context of the 7Rs of the circular economy. Finally, the book presents advanced sustainable applications of rubber materials in diverse fields, including robotics, healthcare, energy, and more.This book serves as a valuable reference to materials scientists, industrial and academic researchers, and R&D professionals seeking to explore sustainable solutions in the realm of rubbers and elastomers, including their green applications.
  • Handbook of Nature-Based Drought Solutions

    • 1st Edition
    • Saeid Eslamian + 1 more
    • English
    Handbook of Nature-Based Drought Solutions covers the latest research on successful, sustainable solutions for the efficient water resources management to overcome the drought and water scarcity problems. The book centers around the realms of drought modeling green infrastructure planning, and the utilization of remote sensing to evaluate, dissect, and oversee drought occurrences. It delves into subjects such as risk mitigation, strategic planning, policy considerations, and the ecological restoration of degraded lands after drought. The use of case studies and novel methodologies including soft computing technique application will help the reader gain a deeper knowledge in understanding, predicting, and mitigating hydrometeorological hazards.
  • Mastering Prompt Engineering

    Deep Insights for Optimizing Large Language Models (LLMs)
    • 1st Edition
    • Anand Nayyar + 2 more
    • English
    Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.
  • Water Use Efficiency, Sustainability and The Circular Economy

    • 1st Edition
    • Suhaib A. Bandh + 2 more
    • English
    Water Use Efficiency, Sustainability, and The Circular Economy is a comprehensive guide on water resource management in the context of a circular economy. The book covers a wide spectrum of topics, from water reuse and recycling strategies that foster sustainability to comprehensive lifecycle assessments of grey and black water management. It explores how circular economy principles can revolutionize basic water supply networking, catalyzing a shift towards more resilient and eco-conscious urban water systems.Lastly, the book contains innovative approaches like blockchain technology for water management and the circular economy perspective on wastewater resource management for energy recovery to help students, scholars, and policymakers navigate the complexities around water resource management.
  • The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

    • 1st Edition
    • Hossein Pourrahmani + 2 more
    • English
    The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.Economi... considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy.
  • Advanced Topics in Inverse Data Envelopment Analysis

    Approaches for Handling Ratio Data
    • 1st Edition
    • Mehdi Soltanifar + 3 more
    • English
    Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data explores and tackles the most significant challenges encountered by researchers and practitioners in decision analysis and performance evaluation. This book delves into the sophisticated realm of Ratio Data Envelopment Analysis (DEA-R), offering a thorough examination of advanced methodologies, practical examples, and insights into managing complex problems involving both non-negative and negative data. Filling crucial gaps in existing literature, this comprehensive resource focuses on the emerging field of Inverse DEA-R, equipping readers with the necessary tools and knowledge to address a wide range of challenging data types. This book serves as an essential guide for making informed and efficient decisions, guiding researchers and graduate students in computer science, applied mathematics, industrial engineering, and finance, navigating the complexities of decision analysis in today's data-driven world.
  • Analysis of Chiral Pollutants in the Environment: Fundamentals, Techniques and Applications

    • 1st Edition
    • Volume 111
    • English
    Analysis of Chiral Pollutants in the Environment: Fundamentals, Techniques and Applications, Volume 111 provides in-depth information on a variety of chiral pollutants. Chapters in this new release include Fundamentals of chirality. Enantioselective behavior and ecotoxicity of environmental chiral pollutants, Chiral pharmaceuticals in environmental samples, An overview of the enantioselective determination of pesticides in environmental samples, An overview of the enantioselective determination of illicit drugs in environmental samples, Recent progress in the analysis of isomers and enantiomers of per- and polyfluoroalkyl substances in environmental and biological samples, An overview of the enantioselective determination of polychlorinated biphenyls in environmental samples, and much more.Additional chapters cover an overview of the enantioselective determination of musk fragrances in environmental samples, Supercritical fluid chromatography with mass spectrometry for the determination of chiral pollutants, Multidimensional chromatography. A powerful technique in analysis of chiral agrochemicals in environment, Capillary electrophoresis for the determination of chiral pollutants, Indirect chromatographic approach for enantioselective analysis of chiral environmental pollutants, Chiral pesticide fate in soils: processes, experimental considerations, and case studies, and many more interesting topics.
  • Decision Systems

    Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks
    • 1st Edition
    • Pallavi Vijay Chavan + 3 more
    • English
    Decision-making is a fundamental process that influences outcomes across a wide range of domains, including business, healthcare, scientific research, and automation. With the increasing availability of data and the growing computational power of modern systems, decision-making models have become more sophisticated and capable of providing highly accurate and efficient solutions. The ability to develop, analyze, and implement these models has become crucial for professionals and researchers working in fields that rely on data-driven decision-making.This book explores the evolution and significance of decision systems, covering both foundational theories and advanced methodologies. It introduces readers to the essential principles of decision-making models, illustrating their applications through practical case studies and real-world scenarios. The discussion begins with a focus on traditional decision-making techniques and gradually progresses to more advanced topics, including machine learning-based approaches, the integration of artificial intelligence, and the role of fuzzy logic in decision support systems. Furthermore, ethical considerations in decision-making and strategies for mitigating bias are examined, ensuring that models remain fair and transparent.Througho... this book, each chapter builds on the previous one, providing a structured and comprehensive learning experience. By the time readers complete this book, they will have gained an in-depth understanding of decision-making frameworks, their applications, and the future directions of research in this dynamic field. Whether one is a student, a researcher, or an industry professional, this book serves as a valuable guide to mastering the complexities of decision systems and applying them effectively in various domains.
  • Quaternion Generalized Inverses

    Foundations, Theory, Problems, and Solutions
    • 1st Edition
    • Ivan I. Kyrchei
    • English
    A cornerstone of linear algebra, the determinant's utility in real and complex fields is undeniable, though traditionally limited to invertibility, rank, and solving linear systems. Quaternion Generalized Inverses: Foundations, Theory, Problems, and Solutions ventures into uncharted territory: extending these concepts to linear algebra over the noncommutative quaternion skew field. The author's groundbreaking theory of "noncommutative" row–column determinants is central to this exploration, a significant advancement beyond the Moore determinant. This seven-chapter work thoroughly introduces the history of noncommutative determinants before delving into the author's theory and its application to inverse matrix computation and Cramer's rule for quaternion systems. The main portion of this work is dedicated to a comprehensive examination of quaternion generalized inverses, spanning the well-established Moore–Penrose and Drazin inverses to more recent developments such as core-EP and composite inverses. The book provides their definitions, properties, and, uniquely, their determinantal representations based on the author's noncommutative determinants. It culminates in demonstrating their powerful applications in solving a wide range of quaternion matrix equations, including Sylvester-type and constrained equations, as well as differential matrix equations.
  • Advances in Process Control with Real Applications

    • 1st Edition
    • Ch. Venkateswarlu
    • English
    Advances in Process Control with Real Applications presents various advanced controllers, including the formulation, design, and implementation of various advanced control strategies for a wide variety of processes. These strategies include generalized predictive control with and without constraints; linear and nonlinear model predictive control; dynamic matrix control; nonlinear control, such as generic model control, globally linearizing control, and nonlinear internal model control; optimal and optimizing control; inferential control; intelligent control based on fuzzy reasoning and neural networks; and controllers based on stochastic and evolutionary optimization.This book will be highly beneficial to students, researchers, and industry professionals working in process design, process monitoring, process systems engineering, process operations and control, and related areas.