Rakesh Sengupta – författare

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science.Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body.The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Nanotechnology has become one of the most revolutionary scientific domains of the 21st century, providing answers for healthcare, renewable energy, environmental cleanup, and industrial advancements. Nonetheless, the swift expansion of this technology necessitates a comparable dedication to environmental responsibility and safety. Green Chemistry in Nanotechnology for Sustainable Synthesis, Characterization, and Applications of Nanoparticles meets this requirement by combining green chemistry principles with cutting-edge nanoscience.This edited collection offers an extensive summary of sustainable nanomaterial creation, starting with fundamental principles and synthesis methods based on renewable resources. It explores eco-friendly and bioinspired methods for producing gold, silver, calcium, and metal oxide nanoparticles, backed by in-depth case studies. Extensive coverage is provided on advanced characterization techniques, delivering insights into structural, morphological, and functional assessment. The book examines various applications, such as food packaging, antimicrobial surfaces, catalytic processes, energy devices, and biomedical technologies. A specific part on nanotoxicology showcases contemporary safety evaluation techniques, including organs-on-chips and 3D cell culture systems, while conversations regarding ethics and sustainability stress responsible innovation. The combination of scientific, safety, and social factors sets this work apart in its breadth. By connecting core concepts with real-world uses, the book acts as an essential tool for researchers, scholars, and industry experts aiming to create nanotechnology solutions that are not only efficient but also safe, sustainable, and ethically responsible. Policymakers and regulatory organizations will also appreciate it for developing frameworks that guarantee nanotechnology aids in advancing global sustainability objectives. This book merges green chemistry with nanotechnology, enabling synthesis from sustainable pathways and characterization through advanced techniques jointly with applications and ethical considerations all under one roof. Works by world top-rated scientists propose renewable-resource-based, bioinspired, and eco-friendly routes toward synthesis of widely varying nanoparticles that make sense in real life. Case studies with applications in health care, food packaging, catalysis, and industrial plus environmental remediation work supported by the most advanced tools of nanotoxicological assessment, such as organs-on-chips and 3D cell cultures, are also presented here. Scientific novelty will be integrated with safety and sustainability so that learners can not only create new forms of nanomaterials but also "e;create safely."e; By combining breadth, depth, and practical insight, this work stands as an indispensable guide for researchers, industry professionals, policymakers, and educators shaping the future of sustainable nanotechnology.

Nanotechnology has become one of the most revolutionary scientific domains of the 21st century, providing answers for healthcare, renewable energy, environmental cleanup, and industrial advancements. Nonetheless, the swift expansion of this technology necessitates a comparable dedication to environmental responsibility and safety. Green Chemistry in Nanotechnology for Sustainable Synthesis, Characterization, and Applications of Nanoparticles meets this requirement by combining green chemistry principles with cutting-edge nanoscience.This edited collection offers an extensive summary of sustainable nanomaterial creation, starting with fundamental principles and synthesis methods based on renewable resources. It explores eco-friendly and bioinspired methods for producing gold, silver, calcium, and metal oxide nanoparticles, backed by in-depth case studies. Extensive coverage is provided on advanced characterization techniques, delivering insights into structural, morphological, and functional assessment. The book examines various applications, such as food packaging, antimicrobial surfaces, catalytic processes, energy devices, and biomedical technologies. A specific part on nanotoxicology showcases contemporary safety evaluation techniques, including organs-on-chips and 3D cell culture systems, while conversations regarding ethics and sustainability stress responsible innovation. The combination of scientific, safety, and social factors sets this work apart in its breadth. By connecting core concepts with real-world uses, the book acts as an essential tool for researchers, scholars, and industry experts aiming to create nanotechnology solutions that are not only efficient but also safe, sustainable, and ethically responsible. Policymakers and regulatory organizations will also appreciate it for developing frameworks that guarantee nanotechnology aids in advancing global sustainability objectives. This book merges green chemistry with nanotechnology, enabling synthesis from sustainable pathways and characterization through advanced techniques jointly with applications and ethical considerations all under one roof. Works by world top-rated scientists propose renewable-resource-based, bioinspired, and eco-friendly routes toward synthesis of widely varying nanoparticles that make sense in real life. Case studies with applications in health care, food packaging, catalysis, and industrial plus environmental remediation work supported by the most advanced tools of nanotoxicological assessment, such as organs-on-chips and 3D cell cultures, are also presented here. Scientific novelty will be integrated with safety and sustainability so that learners can not only create new forms of nanomaterials but also "e;create safely."e; By combining breadth, depth, and practical insight, this work stands as an indispensable guide for researchers, industry professionals, policymakers, and educators shaping the future of sustainable nanotechnology.

Nanotechnology has become one of the most revolutionary scientific domains of the 21st century, providing answers for healthcare, renewable energy, environmental cleanup, and industrial advancements. Nonetheless, the swift expansion of this technology necessitates a comparable dedication to environmental responsibility and safety. Green Chemistry in Nanotechnology for Sustainable Synthesis, Characterization, and Applications of Nanoparticles meets this requirement by combining green chemistry principles with cutting-edge nanoscience.This edited collection offers an extensive summary of sustainable nanomaterial creation, starting with fundamental principles and synthesis methods based on renewable resources. It explores eco-friendly and bioinspired methods for producing gold, silver, calcium, and metal oxide nanoparticles, backed by in-depth case studies. Extensive coverage is provided on advanced characterization techniques, delivering insights into structural, morphological, and functional assessment. The book examines various applications, such as food packaging, antimicrobial surfaces, catalytic processes, energy devices, and biomedical technologies. A specific part on nanotoxicology showcases contemporary safety evaluation techniques, including organs-on-chips and 3D cell culture systems, while conversations regarding ethics and sustainability stress responsible innovation. The combination of scientific, safety, and social factors sets this work apart in its breadth. By connecting core concepts with real-world uses, the book acts as an essential tool for researchers, scholars, and industry experts aiming to create nanotechnology solutions that are not only efficient but also safe, sustainable, and ethically responsible. Policymakers and regulatory organizations will also appreciate it for developing frameworks that guarantee nanotechnology aids in advancing global sustainability objectives. This book merges green chemistry with nanotechnology, enabling synthesis from sustainable pathways and characterization through advanced techniques jointly with applications and ethical considerations all under one roof. Works by world top-rated scientists propose renewable-resource-based, bioinspired, and eco-friendly routes toward synthesis of widely varying nanoparticles that make sense in real life. Case studies with applications in health care, food packaging, catalysis, and industrial plus environmental remediation work supported by the most advanced tools of nanotoxicological assessment, such as organs-on-chips and 3D cell cultures, are also presented here. Scientific novelty will be integrated with safety and sustainability so that learners can not only create new forms of nanomaterials but also “create safely.” By combining breadth, depth, and practical insight, this work stands as an indispensable guide for researchers, industry professionals, policymakers, and educators shaping the future of sustainable nanotechnology.

Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the world—powered by modern Python programming. Bridging classical theory with today’s computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentials—loops, conditionals, data handling—while building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experiments—opening the door to deeper insights into sensation and perception.

Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the world-powered by modern Python programming. Bridging classical theory with today's computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentials-loops, conditionals, data handling-while building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experiments-opening the door to deeper insights into sensation and perception.