Nishant Kumar – författare
849 kr
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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.
849 kr
Läs direkt efter köp
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.
634 kr
Läs direkt efter köp
This book analyzes the role of laws and the judiciary in the process of censorship in India. It examines the rationales and observations produced by the judiciary when demands for censorship are directed against publications that allegedly offend religious sentiments. Focusing on a micro-level analysis of censorship of publications, it presents a hard case to understand the limitations of freedom of expression and the role played by the judiciary in defining its boundaries. The volume traces the evolution of laws governing freedom of expression since the colonial period and the context in which these laws were amended after Independence. It also explicates how the legal process – the structural and functional aspects of working of judiciary – affects the fate of freedom of expression in India. Employing comparative legal analysis, it tries to understand and situate the Indian case within the larger discourse of censorship and freedom of expression around the world, thereby marking its similarities and differences. In unravelling the politics of censorship, the author also examines the interaction among different stakeholders like government, non-state actors and the judiciary.
A tract for our times, this book will be of great interest to scholars and researchers of law, especially constitutional law and fundamental rights, politics, especially political theory and Indian politics, modern India and South Asian studies.
634 kr
Läs direkt efter köp
This book analyzes the role of laws and the judiciary in the process of censorship in India. It examines the rationales and observations produced by the judiciary when demands for censorship are directed against publications that allegedly offend religious sentiments. Focusing on a micro-level analysis of censorship of publications, it presents a hard case to understand the limitations of freedom of expression and the role played by the judiciary in defining its boundaries. The volume traces the evolution of laws governing freedom of expression since the colonial period and the context in which these laws were amended after Independence. It also explicates how the legal process – the structural and functional aspects of working of judiciary – affects the fate of freedom of expression in India. Employing comparative legal analysis, it tries to understand and situate the Indian case within the larger discourse of censorship and freedom of expression around the world, thereby marking its similarities and differences. In unravelling the politics of censorship, the author also examines the interaction among different stakeholders like government, non-state actors and the judiciary.
A tract for our times, this book will be of great interest to scholars and researchers of law, especially constitutional law and fundamental rights, politics, especially political theory and Indian politics, modern India and South Asian studies.
2 738 kr
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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 sustainability Highlights 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 policymakers Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems Includes 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.
1 022 kr
Läs direkt efter köp
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 sustainability Highlights 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 policymakers Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems Includes 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.
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