Skip to main content
View Cart

Books in Physical sciences and engineering

  • AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

    • 1st Edition
    • Olfa Boubaker + 1 more
    • English
    AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.

  • AI and Data Science in Medical Research

    • 1st Edition
    • Olfa Boubaker
    • English
    AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

  • Conducting Polymers and their Functionalization

    Synthesis, Characterization, and Applications
    • 1st Edition
    • Sapana Jadoun
    • English
    Conducting Polymers and their Functionalization: Synthesis, Characterization, and Applications offers a comprehensive guide on the synthesis techniques, characterization methods, functionalization approaches, and diverse applications of conducting polymers. The book begins with an overview of different types of conductive polymers, their electrical properties, and conductivity mechanisms. It then progresses to strategies for functionalization, including chemical, doping, hybridization, copolymerization, and post-polymerization modifications. Further sections explore various chemical synthesis approaches, detailing their resulting properties and discussing the advantages and disadvantages of each technique. Case studies on potential applications are also included to enhance the learning process.The book features a dedicated chapter on the applications of functionalized conducting polymers in several fields, from water treatment to bioelectronics, environmental sensing, imaging, and optoelectronics. As a valuable resource to researchers, polymers scientists, engineers, and advanced students working with conductive polymers, the book covers present challenges and future research directions, highlighting potential applications of functionalized conducting polymers.

  • Artificial Intelligence and Machine Learning for Safety-Critical Systems

    A Comprehensive Guide
    • 1st Edition
    • Rajiv Pandey + 3 more
    • English
    Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource on the challenges and mitigation strategies involved in their design. The book's authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models. In essence, the goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety.

  • Data Compression for Data Mining Algorithms

    • 1st Edition
    • Xiaochun Wang
    • English
    Data Compression for Data Mining Algorithms tackles the important problems in the design of more efficient data mining algorithms by way of data compression techniques and provides the first systematic and comprehensive description of the relationships between data compression mechanisms and the computations involved in data mining algorithms. Data mining algorithms are powerful analytical techniques used across various disciplines, including business, engineering, and science. However, in the big data era, tasks such as association rule mining and classification often require multiple scans of databases, while clustering and outlier detection methods typically depend on Euclidean distance for similarity measures, leading to high computational costs.Data Compression for Data Mining Algorithms addresses these challenges by focusing on the scalarization of data mining algorithms, leveraging data compression techniques to reduce dataset sizes and applying information theory principles to minimize computations involved in tasks such as feature selection and similarity computation. The book features the latest developments in both lossless and lossy data compression methods and provides a comprehensive exposition of data compression methods for data mining algorithm design from multiple points of view.Key discussions include Huffman coding, scalar and vector quantization, transforms, subbands, wavelet-based compression for scalable algorithms, and the role of neural networks, particularly deep learning, in feature selection and dimensionality reduction. The book’s contents are well-balanced for both theoretical analysis and real-world applications, and the chapters are well organized to compose a solid overview of the data compression techniques for data mining. To provide the reader with a more complete understanding of the material, projects and problems solved with Python are interspersed throughout the text.

  • Effects, Assessments, and Optimizations of Water Resources under Climate Change

    Approaches and Applications
    • 1st Edition
    • Chunhui Li + 1 more
    • English
    Effects, Assessments, and Optimizations of Water Resources under Climate Change: Approaches and Applications presents a systematic exploration of how climate change is reshaping the global water resources. From assessing the impacts of temperature and precipitation extremes to addressing the spatial variability in water stress, the book offers innovative methods and solutions for sustainable water management. The chapters focus on the use of advanced hydrological models, ecological footprint methods, and optimization approaches to manage water resources efficiently under climate change scenarios. Additionally, it includes comprehensive case studies that demonstrate the practical application of these methods in real-world water management, providing readers with actionable insights and strategies for planning water resources under climate change. This is a necessary guide for students and researchers, as well as for policymakers, and water resource managers seeking practical and scientific strategies for securing water resources in the face of climate uncertainty.

  • Pioneering Autonomous Technology: A Deep Dive into Hyper Automation

    • 1st Edition
    • Volume 143
    • English
    Pioneering Autonomous Technology: A Deep Dive into Hyper Automation, Volume 143 in the Advances in Computers series, showcases the transformative role of artificial intelligence, deep learning, and machine learning in creating safer, more efficient, and socially inclusive environments. This volume explores how autonomous technologies are reshaping healthcare, transportation, agriculture, and urban living. Chapters cover important topics such as a Survey on Deep Learning Based Autonomous Medical Diagnosis Models for Chronic Disease Identification, Human-Robot Interaction: Ensuring Safe and Effective Coordination, Blazing Trails: Cutting-Edge Technologies Revolutionizing Forest Fire Screening, Connected Communities: Fostering Social Inclusion and Equity in Smart Cities through IoT Integration, and much more.Additional chapters cover a Preliminary Study of Retinal Biomarkers Detection on Fundus Images for the Diagnosis of Alzheimer’s and Parkinson’s Diseases, Deep Learning Driven Classification of Sweet Lime Leaves: A Superior CNN Approach for Agricultural Automation, Machine Learning in Healthcare: Advancements, Applications, and Challenges, Feature Extraction and Object Recognition in Autonomous Systems, The Future of Autonomous Vehicles: Industry Trends, Technologies, and Challenges, Autonomous Systems: Shaping the Future of Industries and Transportation, and many other topics that will be of interest to readers.

  • Power Converters for Photovoltaic Power Systems

    Control, Fault Diagnosis, and Reliability Analysis
    • 1st Edition
    • Ahteshamul Haque + 3 more
    • English
    Power Converters for Photovoltaic Power Systems: Control, Fault Diagnosis, and Reliability Analysis guides readers through the latest technologies and applications of advanced converters for the renewable-integrated energy systems of the future. The book begins with an introduction to the design principles of converters for PV applications and grid synchronization techniques before breaking down complex control strategies for PV systems, including the injection of active and reactive power in solar inverters. Fault detection, analysis, and localization are covered in detail, as are failure modes, risk indices, criticality analysis, and more advanced condition monitoring techniques.Additiona... chapters cover optimizing thermal management to ensure efficient operation and reliability of photovoltaic systems, and thermal control methods for reliable operation and longevity of power electronic converters. Finally, guidance is provided on Digital Twin Integration for condition monitoring of photovoltaic-integra... energy systems.

  • The Alkaloids

    • 1st Edition
    • Volume 95
    • English
    The Alkaloids: Chemistry and Biology, Volume 95 continues the longstanding tradition of this authoritative series, offering in-depth and up-to-date reviews on the chemistry, biology, and pharmacology of alkaloids. This volume features comprehensive chapters covering the Chemistry and Biology of Imidazole, Oxazole and Thiazole Alkaloids, The Chemistry and Biology of Securinega Alkaloids, and Renieramycin-type Bis-1,2,3,4-tetrahyd... Marine Natural Products. These chapters provide critical insights into their structures, biosynthesis, and a wide range of biological activities, making this volume an essential reference for researchers in natural products chemistry, medicinal chemistry, and pharmacognosy.

  • Technologies for Soil and Water Pollution Remediation

    • 1st Edition
    • Sivakumar Uthandi + 3 more
    • English
    Technologies for Soil and Water Pollution Remediation explores advanced microbial methods and practical solutions for effectively addressing soil and water contamination. The book addresses critical issues in soil and water pollution while outlining the pressing environmental challenges associated with soil and water contamination, emphasizing the urgent need for effective remediation strategies. Sections highlight the identification and classification of contaminants, their sources, and impacts on ecosystems and human health. Key methodologies discussed include advanced bioremediation techniques, phytoremediation, and emerging technologies such as microbial electrogenesis and photocatalytic treatments.

Related subjects