Rohit Kumar - Böcker

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine provides a comprehensive yet accessible introduction to the principles of designing, training, and deploying efficient artificial intelligence systems. It explains the theory behind cost-aware machine learning and data mining and examines methods across deep learning, graph neural networks (GNNs), transformer architectures, diffusion models, reinforcement learning, and knowledge distillation.The book covers fine-tuning and compression techniques such as low-rank adaptation (LoRA), parameter-efficient fine-tuning (PEFT), adapter-based tuning, pruning, and quantization. It also explores inference acceleration through Flash Attention, prefill optimization, and speculative decoding, and explains how mixture-of-experts (MoE) architectures can scale models efficiently across GPUs and edge devices.To build a strong conceptual understanding, the text introduces fundamentals of GPU architecture, matrix multiplication, memory hierarchies, and parallelization strategies, helping readers develop an intuition for optimizing training and inference pipelines.While applicable across domains, the book places special emphasis on healthcare and biomedicine, where efficient AI can reduce costs and improve diagnostics, precision medicine, and clinical decision support. Real-world case studies and interviews with experts from organizations such as Google and Microsoft provide practical insights into building scalable healthcare AI systems. Aimed at graduate students, researchers, clinicians, biomedical engineers, data scientists, and AI practitioners, this book bridges algorithmic principles with applied implementation.Covers state-of-the-art techniques, including LoRA, PEFT, diffusion models, RAG, Flash Attention, and MoE architecturesExplains methods for model compression, quantization, pruning, and knowledge distillation with practical examplesIntegrates GPU fundamentals, matrix operations, and system-level optimization for efficient model training and deploymentIncludes case studies and interviews demonstrating the use of cost-efficient AI in healthcare and biomedicineBalances mathematical foundations with implementation guidance and applied intuition

Cyber-Physical Systems: A Comprehensive Guide explores the complete sys-tem perspective, underlying theories, modelling, and the applications of Cyber Physical Systems (CPS). It aims to cover all topics ranging from discussion of ru-diments of the system, efficient management, to recent research challenges and issues. Editors aim to present the book in a self-sufficient manner and to achieve this, the book has been edited to include all the aspects of CPS. The book fo-cuses on the concept map of CPS including latest technological interventions; issues, challenges, and the integration of CPS with IoT & Big Data Analytics. This aims to bring together unique contributions on cyber-physical systems research and education with applications in industrial, agriculture, and medical domains. The main aim of the book is to provide a roadmap to the latest advancements to provide optimal solutions in the field of CPS.Features• Coverage of rudiments of the subject• Discussion of recent advancements in the associated field• Considers an audience of diverse domains• Suitable for students (both UG and PG level) and researchers in the field of CPSThis book aims to present the emergence of Cyber Physical Systems in response to revolutionary advancements in IoT. While discussing the associated challenges, it also endeavors to devise efficient models which are competent to address these challenges. This book aims to cater to researchers and academicians working in the related field of CPS.

Cyber-Physical Systems: A Comprehensive Guide explores the complete sys-tem perspective, underlying theories, modelling, and the applications of Cyber Physical Systems (CPS). It aims to cover all topics ranging from discussion of ru-diments of the system, efficient management, to recent research challenges and issues. Editors aim to present the book in a self-sufficient manner and to achieve this, the book has been edited to include all the aspects of CPS. The book fo-cuses on the concept map of CPS including latest technological interventions; issues, challenges, and the integration of CPS with IoT & Big Data Analytics. This aims to bring together unique contributions on cyber-physical systems research and education with applications in industrial, agriculture, and medical domains. The main aim of the book is to provide a roadmap to the latest advancements to provide optimal solutions in the field of CPS.Features• Coverage of rudiments of the subject• Discussion of recent advancements in the associated field• Considers an audience of diverse domains• Suitable for students (both UG and PG level) and researchers in the field of CPSThis book aims to present the emergence of Cyber Physical Systems in response to revolutionary advancements in IoT. While discussing the associated challenges, it also endeavors to devise efficient models which are competent to address these challenges. This book aims to cater to researchers and academicians working in the related field of CPS.

This book is an informative introduction to the post-harvest technology of horticultural crops, and their conservation and management. The different post-harvest handling operations including storage aspects are also covered. Innovative processing technologies like high-pressure processing, irradiation, cold plasma technique and ohmic heating are also discussed in the book.

This book is an informative introduction to the post-harvest technology of horticultural crops, and their conservation and management. The different post-harvest handling operations including storage aspects are also covered. Innovative processing technologies like high-pressure processing, irradiation, cold plasma technique and ohmic heating are also discussed in the book.

The book provides a fundamental exploration of cloud security, addressing the growing risks associated with modern cloud environments. It combines foundational theory with hands-on applications, equipping readers with the knowledge and tools needed to secure cloud platforms. Topics include cloud attack vectors, defence mechanisms, implementation challenges, and real-world case studies of major cloud service providers. Practical exercises and end-of-chapter questions reinforce key concepts, making this an essential resource. Designed for undergraduate and postgraduate students in computer science and cybersecurity, this book serves as a vital guide to securing cloud infrastructures and ensuring data integrity in a rapidly evolving technological landscape.Covers cloud security concepts, attack types, and defense mechanismsIncludes cloud security tools, real-world case studies, and hands-on projectsDiscusses risk mitigation techniques and security best practices for cloud environmentsExamines real-world obstacles and solutions in cloud security adoptionAnalyses major cloud service providers and their security models

The book provides a fundamental exploration of cloud security, addressing the growing risks associated with modern cloud environments. It combines foundational theory with hands-on applications, equipping readers with the knowledge and tools needed to secure cloud platforms. Topics include cloud attack vectors, defence mechanisms, implementation challenges, and real-world case studies of major cloud service providers. Practical exercises and end-of-chapter questions reinforce key concepts, making this an essential resource. Designed for undergraduate and postgraduate students in computer science and cybersecurity, this book serves as a vital guide to securing cloud infrastructures and ensuring data integrity in a rapidly evolving technological landscape.Covers cloud security concepts, attack types, and defense mechanismsIncludes cloud security tools, real-world case studies, and hands-on projectsDiscusses risk mitigation techniques and security best practices for cloud environmentsExamines real-world obstacles and solutions in cloud security adoptionAnalyses major cloud service providers and their security models

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it.Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transforming your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment.What You'll Learn  See the history of AI and how machine learning and cognitive computing evolvedDiscover why cognitive computing is so important and why your business needs itMaster the details of modern AI as it applies to enterprisesMap the path ahead in terms of your IT-business integrationAvoid common road blocks in the process of adopting cognitive computing in your businessWho This Book Is ForBusiness managers and leadership teams.

This volume comprises select peer-reviewed papers from the Indo-French Workshop on Multifragmentation, Collective Flow, and Sub-Threshold Particle Production in Heavy-Ion Reactions held at the Department of Physics, Panjab University, Chandigarh, India in February, 2019.

This volume comprises select peer-reviewed papers from the Indo-French Workshop on Multifragmentation, Collective Flow, and Sub-Threshold Particle Production in Heavy-Ion Reactions held at the Department of Physics, Panjab University, Chandigarh, India in February, 2019.