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Books in Physical sciences and engineering

  • Fundamentals of Statistics for Researchers and Data Analysts

    • 1st Edition
    • Shashi A. Chiplonkar + 1 more
    • English
    Fundamentals of Statistics for Researchers and Data Analysts explains statistical methods, and the assumptions and prerequisites for applying various analytical tools from an statistical point of view. Statistical analysis has become indispensable in almost all fields of science, business, industry and medicine, for evidence-based decision making and forecasting. However, due to lack of fundamental understanding of statistics, results of data analysis often remain inconclusive or erroneous. In addition, data analysts or even statistical advisers may not be familiar with the subject area of the data, leading to inaccurate application of statistical tools and interpretation of results. To address these issues, this book breaks down the concepts of statistics into accessible, practical explanations with real-world examples. The book is organized by first explaining what statistical thinking is and how one should proceed with formulating their question in terms of a statistical hypothesis. Then step by step, topics are explained in detail, including data generation by choice of proper study design, data collection methods, identifying outliers, methods of data analysis, and finally interpretation of results to help make the required decision. Essential statistical methods such as classification techniques, correlation analysis, regression models, probability distributions, model building and statistical tests of significance are explained with live datasets using Excel and SPSS. Fundamentals of Statistics for Researchers and Data Analysts instructs readers on the precise methodology of analyzing data and interpretation of statistical results to arrive at a valid conclusion. Readers can use the same methodology from the case studies given in the book for their own applications and research by replacing the variables in the examples with the variables from their own datasets. The book ensures that readers are well-prepared for data-driven roles in various sectors.

  • Bioremediation as a Greener Solution for Marine Plastic Pollutants

    • 1st Edition
    • Alok Prasad Das + 1 more
    • English
    Bioremediation as a Greener Solution for Marine Plastic Pollutants provides a comprehensive understanding of marine microplastic pollution while also exploring bioremediation as a sustainable solution. The book covers essential knowledge about marine microplastics, examines various bioremediation techniques, and highlights successful case studies. Authored by various experts from around the world, this book discusses the benefits, challenges, and future prospects of integrating bioremediation into sustainable practices. It emphasizes the collaborative efforts required for widespread adoption, including policy development, public awareness, and continuous research.Designed to be accessible to researchers and students interested in addressing the increasing threat of marine microplastic pollution, this guide is a valuable resource for those committed to environmental sustainability.

  • Industry 4.0 and Sustainability

    Integrating Digital Technologies and Circular Models for a Sustainable Future
    • 1st Edition
    • M. Imran Khan + 2 more
    • English
    The Fourth Industrial Revolution, commonly termed Industry 4.0, is transforming production and manufacturing through integration of advanced digital technologies like artificial intelligence (AI), industrial internet of things (IIoT), big data analytics, additive manufacturing, and advanced robotics. While much discussion has centered on potential economic impacts, Industry 4.0 also holds significant implications for sustainability across environmental, social, and economic dimensions. However, simply adopting technologies does not guarantee sustainability benefits, and improperly managed, they pose risks related to job losses, inequality, and rebound effects that must be addressed through integrative frameworks. Industry 4.0 and Sustainability will provide the first comprehensive, evidence-based perspective unifying technological, organizational, policy, and social considerations to strategically direct Industry 4.0 innovations towards improved sustainability across economic, environmental, and social dimensions. With applied case studies and integrated roadmaps spanning engineering, management, and policy, it fills a crucial gap in guiding Industry 4.0 deployments to accelerate progress on sustainable development goals.

  • Chemistry and Applications of Metal-Organic Framework (MOFs)

    • 1st Edition
    • Claudio Pettinari
    • English
    Chemistry and Applications of Metal-Organic Framework (MOFs) explores the realm of metal-organic framework (MOFs) with comprehensive coverage of this intriguing class of crystalline porous solids.The book investigates the interdisciplinary world where inorganic chemistry, environmental chemistry, physical chemistry, and materials science converge. It examines the synthesis methodologies, distinctive characteristics, and wide-ranging applications of MOFs, from drug delivery to energy and sensors. This comprehensive guide evaluates the structure/reactivity... relationships and underscores the potential of MOFs in various fields.

  • Principles of Modern Grinding Technology

    • 3rd Edition
    • W. Brian Rowe + 1 more
    • English
    Structured as a comprehensive teaching aid, the third edition of Principles of Modern Grinding Technology caters to a wide range of professionals and students, including application engineers, manufacturing engineers, technicians, researchers, teachers, and students. It expertly guides the reader through every aspect of the grinding process, incorporating the latest advancements in high-speed grinding, cost reduction techniques, vibration troubleshooting, and productivity optimization. Moreover, it demonstrates how to simultaneously enhance grinding precision, improve result quality, and increase output. The third edition represents an expanded and revised version, encompassing cutting-edge developments such as ultra-precision grinding. It offers thorough analyses of the factors influencing grinding behavior and showcases practical applications through numerous worked examples. The book extensively references leading research to substantiate the advancements in the field. Advanced grinding exemplifies the core principles of manufacturing science. It initially introduces the fundamentals of material removal by grinding, followed by an in-depth examination of grinding tools and their preparation. This book delves into the intricacies of grinding mechanics, including thermal performance and quality-related concerns. Finally, it explores practical grinding applications while considering economic factors to highlight worthwhile investments and potential cost reductions. In this edition, several new chapters have been added to enhance the book's relevance and coverage. These include discussions on real contact in grinding, grinding energy, thermal damage, grinding machine developments, vibrations in grinding, and grinding process control.

  • Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids

    • 1st Edition
    • Guozheng Kang + 4 more
    • English
    Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book’s focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.

  • Application of Phase Change Materials in Energy Storage and Conversion Systems

    • 1st Edition
    • Mehdi Mehrpooya + 2 more
    • English
    Application of Phase Change Materials in Energy Storage and Conversion Systems delves into the use of phase change materials (PCMs) in various energy storage and conversion systems. Starting with an explanation of renewable energy and thermal energy storage, the book comprises thirteen chapters that systematically cover PCM fundamentals and their modeling, design parameters for thermal systems, and factors influencing PCM storage capacity. Additional critical points include the exploration of PCM applications in thermal energy storage systems and buildings, the use of computational fluid dynamics (CFD) for PCM modeling, and optimization techniques for thermal energy storage systems.This is a comprehensive resource for anyone interested in the theoretical and practical aspects of PCMs. Engineers, researchers, students, and system designers will find this book invaluable for understanding and utilizing PCMs in energy storage solutions.

  • Ultrasonic Chemical Process Intensification

    • 1st Edition
    • Xiaoping Lu + 4 more
    • English
    Ultrasonic Chemical Process Intensification focuses on acoustic foundations and ultrasound cavitation. The book describes the theory and methodologies of ultrasonic enhanced chemical reaction, mass and heat transfer process, mechanical separation, pulverization process, and other unit operation processes. Users will find various sonochemical reactors and industrial ultrasonic processing equipment and devices as well as the application and progress of ultrasonic enhanced chemical reaction process, electrochemistry, materials chemistry and process industries.Finally, the book specifies the main problems and challenges and provides suggestions and prospects for future development of ultrasonic chemical process intensification.

  • Smart City Computational Paradigms

    A Sustainable Approach
    • 1st Edition
    • Mohit Kumar + 3 more
    • English
    Smart City Computational Paradigms: A Sustainable Approach describes the connections between state-of-the-art technologies while also providing a comprehensive overview for readers interested in advanced technologies. The smart city paradigm combines smart homes, smart healthcare, smart transportation, smart industry, smart environment, and smart energy to ensure sustainability, well-being, and comfortable living within the urban environment for the city's citizens. The book identifies challenges and proposed solutions and covers underlying theory, design techniques, classification, taxonomy, and analytical tools. Content primarily focuses on real-time applications, uncertainty solutions, and approaches with hands-on demonstrations for decision-making outcomes.This convergence of computational intelligence and IoT not only transforms data into actionable knowledge but also fosters the development of autonomous, efficient, and adaptive systems across diverse domains, ranging from smart cities to healthcare and industrial applications. The integration of computational intelligence with IoT enhances the capabilities of connected systems, making them smarter, more efficient, and better equipped to handle the complexities of the modern world.

  • Deep Learning for Cardiac Signal Analysis in Robotic Applications

    • 1st Edition
    • Kapil Gupta + 1 more
    • English
    Deep Learning for Cardiac Signal Analysis in Robotic Applications delves into the transformative role of artificial intelligence in enhancing robotic-assisted cardiovascular procedures. Addressing the complexities of heart signal interpretation amidst the dynamic environment of cardiac surgery, this book meets the critical need for a comprehensive resource that bridges deep learning advances with practical surgical applications. It responds to the challenge of understanding intricate bio-signals, such as ECG, VCG, and BCG, by providing clear explanations, case studies, and methodological insights tailored to improve surgical precision, safety, and patient outcomes. The book is organized into three parts, starting with the fundamentals of cardiac signals and deep learning. It introduces key heart modalities, including the physiological underpinnings and challenges of signals like ECG and BCG, followed by an overview of deep learning architectures relevant to signal processing. Pre-processing and feature extraction techniques are detailed to prepare readers for advanced analysis. Part II focuses on AI-enhanced cardiac signal analysis, covering arrhythmia detection, myocardial ischemia diagnostics, hypertension monitoring via BCG, and explainable AI approaches for fetal arrhythmia monitoring. The final section integrates AI with robotic cardiac surgery, addressing real-time signal integration, AI-guided intervention precision, intraoperative decision support, postoperative monitoring, and future trends in cardiac AI and robotic-assisted surgery.This book is an invaluable resource for engineering students and academicians seeking to deepen their understanding of AI applications in healthcare. It equips readers with practical knowledge to tackle challenges in cardiac signal processing and robotic application, fostering interdisciplinary expertise that spans biomedical engineering, computer science, and clinical practice. This book not only advances academic research but also supports innovation in developing intelligent surgical systems and improving patient care.

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