Kamal Upreti – författare

Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical applications in healthcare, offering an accessible guide tailored to the unique challenges of medical environments. It highlights how NLP technologies are revolutionizing patient care, medical documentation, and clinical decision-making while emphasizing ethical, legal, and interoperability considerations. Structured into four sections, the book begins by laying foundational knowledge in NLP and healthcare data, covering concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models, including BioBERT and ClinicalBERT, and emerging impacts of large language models like GPT.The applications section explores real-world implementations of intelligent assistants, such as virtual health chatbots, clinical documentation tools, conversational AI for patient engagement, and voice recognition integrated into electronic health records. Technical chapters provide insights into system architectures, evaluation metrics, data privacy, security, and interoperability standards like FHIR. The final section looks ahead to future directions including multilingual NLP, federated learning for privacy preservation, and the evolving landscape of AI-driven healthcare assistants. This book is an indispensable resource for a broad audience.Bridges AI research and healthcare practice with accessible, healthcare-focused NLP insights for clinical and operational useProvides practical guidance on designing and deploying intelligent virtual assistants to enhance patient care and engagementAddresses ethical, legal, and interoperability challenges unique to healthcare NLP applicationsExplores cutting-edge technologies, including large language models and federated learning in real-world medical contextsEquips data scientists and clinicians with tools to analyze unstructured medical data and improve clinical decision-making

Smart Healthcare 2.0: Integrating Digital Twins with AI-Driven Predictive Analytics offers a groundbreaking exploration of how digital twin technology, combined with real-time sensing and predictive analytics, is transforming healthcare delivery. As the global healthcare landscape shifts toward proactive, personalized care, this book addresses the urgent need for comprehensive resources that unify artificial intelligence, Internet of Things (IoT), and biomedical engineering within the digital twin framework. It provides an essential guide for researchers, engineers, and clinicians aiming to harness virtual patient models and data-driven insights to improve health outcomes and system efficiency in the era of ubiquitous healthcare.This volume covers a wide spectrum of topics, starting with foundational concepts of digital twins in precision health and advancing through smart sensing technologies, scalable system architectures, and AI-powered predictive analytics. Readers will explore detailed discussions on edge-cloud computing, secure communication protocols including blockchain, and simulation platforms that enable virtual patient modeling. The book also addresses critical themes such as chronic disease management, emergency response optimization, ethical AI deployment, interoperability standards, and workforce readiness. Real-world case studies and future-focused chapters on cognitive twins and quantum simulation provide a rich, multidisciplinary perspective.Bridges AI, IoT, and biomedical engineering for comprehensive digital twin healthcare system design and deploymentOffers practical frameworks for secure, scalable, and real-time patient monitoring and predictive health interventionsIntegrates ethical, legal, and interoperability considerations to ensure trustworthy and clinically relevant healthcare solutionsProvides case studies and simulation tools to support research, education, and innovation in smart healthcare technologies

Technological Fusion in Experimental Medicine and Biology examines how artificial intelligence, omics technologies, nanotechnology, and biomedical engineering are converging to reshape experimental medicine. The book presents an integrated, end-to-end translational framework connecting hypothesis development, experimentation, multimodal data integration, AI-driven analysis, and clinical translation. It covers the core enabling technologies and the models that link diverse tools into coherent biomedical workflows. Content is structured across foundational concepts, technologies, workflow integration, application domains, and real-world case studies, supported by schematic workflows, decision frameworks, and ethical and regulatory perspectives. Chapters emphasize deep learning, reproducible research, and data governance, with case studies in cancer, cardiovascular, and neurological research. The book provides researchers, educators, and lab leaders with a unified framework for interdisciplinary research, teaching, and translational innovation.Provides interdisciplinary integration through a unified translational workflow that links computational biology, medicine, and engineeringOffers practical case studies and reproducible workflows that demonstrate real-world application across domainsDelivers future-focused insights with AI, multimodal data, and digital-twin concepts to guide ongoing research and innovation

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Cyber Physical System (CPS) is an integration of computation, networking, and physical processes: the combination of several systems ofdifferent nature whose main purpose is tocontrol a physical process and, through feedback, adapt itself to new conditions, in real time.Cyber Physical System: Concepts and Applications includes an in-depth coverage of the latestmodels and theories that unify perspectives.It expresses the interacting dynamics of the computational and physical components of asystem in a dynamic environment. Covers automatic application of software countermeasures against physical attacks and impact of cyber physical system on industry 4.0 Explains how formal models provide mathematical abstractions to manage the complexity of a system design Offers a rigorous and comprehensive introduction to the principles of design,specification, modelling, and analysis of cyber physicalsystems Discusses the multiple domains where Cyber Physical system has a vital impact and provides knowledge about different models thatprovide mathematical abstractions tomanage the complexity of a system design Provides the rapidly expanding field of cyber-physical systems with a Long-needed foundational text by an established authorityThis book is primarily aimed at advanced undergraduates, graduates of computer science. Engineers will also find this book useful.

Cyber Physical System (CPS) is an integration of computation, networking, and physical processes: the combination of several systems ofdifferent nature whose main purpose is tocontrol a physical process and, through feedback, adapt itself to new conditions, in real time.Cyber Physical System: Concepts and Applications includes an in-depth coverage of the latestmodels and theories that unify perspectives.It expresses the interacting dynamics of the computational and physical components of asystem in a dynamic environment. Covers automatic application of software countermeasures against physical attacks and impact of cyber physical system on industry 4.0 Explains how formal models provide mathematical abstractions to manage the complexity of a system design Offers a rigorous and comprehensive introduction to the principles of design,specification, modelling, and analysis of cyber physicalsystems Discusses the multiple domains where Cyber Physical system has a vital impact and provides knowledge about different models thatprovide mathematical abstractions tomanage the complexity of a system design Provides the rapidly expanding field of cyber-physical systems with a Long-needed foundational text by an established authorityThis book is primarily aimed at advanced undergraduates, graduates of computer science. Engineers will also find this book useful.

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book:Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainabilityHighlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakersDiscusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocationLays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraintsCovers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problemsIncludes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategiesThis volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book:Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainabilityHighlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakersDiscusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocationLays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraintsCovers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problemsIncludes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategiesThis volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

Smart cyber‑physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting‑edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real‑world case studies and in‑depth analysis, showcasing how SCPS address critical global challenges. This book:Provides a comprehensive introduction to SCPS, their components, and their applications in various domains and explores their role in enabling sustainable smart cities and urban planningProvides advanced SCPS‑based solutions for optimizing supply chain logistics and route planning and real‑world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniquesDiscusses the integration of artificial intelligence and machine learning in autonomous vehicle systems and transportationAnalyzes cybersecurity challenges in cryptocurrency and blockchain ecosystemsFocuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS, and explores adaptive human–machine interaction frameworks for enhanced decision‑makingThis book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field.

This book serves as a comprehensive guide, covering the fundamentals of cloud computing, advanced concepts, and practical applications.Discusses cyber-physical systems, cloud integration for environmental management, and cloud security intelligence systems for sustainable operationsPresents case studies based on computational intelligence-based optimization for sustainable operations and cloud integrationEmphasizes how cloud computing revolutionizes traditional processes, enabling direct input of assembly details into a computation model, streamlining development cycles, and reducing costsBridges the gap between theory and practice by offering guidelines on problem encoding and implementation strategies, empowering readers to apply their acquired knowledge to solve complex industrial problemsCovers wireless security in the cloud era, mechatronics and cloud integration, and cloud-enabled manufacturing for eco-friendly operationsThe text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and information technology.

This book is a collection of best-selected research papers presented at International Conference on Smart Cyber Physical Systems (ICSCPS), organized by CHRIST (Deemed to be University) Delhi-NCR Campus, India, in January 2026. The book covers recent research in cyber physical system’s foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.

This book discusses the outcome of the ICSCPS 2024 conference proceedings which provide a comprehensive exploration of Smart Cyber-Physical Systems (CPS), delivering deep into the intersection of the physical and digital worlds. The book is a must-read for researchers, engineers, students, and professionals seeking to understand and harness the power of CPS in today's technology-driven landscape. This conference's main topics encompass CPS's foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. It unravels the intricacies of sensors and actuators, shedding light on their design and applications in various domains. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.