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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condizione: Brand New. 244 pages. 6.14x0.57x9.21 inches. In Stock.

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Condizione: New. Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM(Executive.

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Taschenbuch. Condizione: Neu. Neuware - 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 strategies This 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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Buch. Condizione: Neu. Neuware - This book unites experts from academia, industry, and policy. They look at using capital markets to enhance sustainability. They also aim to support inclusive growth around the globe. The author dedicates the book to exploring how capital flows can benefit communities. When capital market flows support social and environmental goals, they foster lasting prosperity.This book covers many topics. It includes green finance, social impact bonds, and ESG investing. It also adds sustainable practices to regular finance. It connects theory with practice, capital markets, and SDGs. It highlights new financial tools and rules that are changing global finance. The book covers various topics, such as infrastructure funding and supporting women-led businesses. It shows that sustainable finance is a must. It s not only about doing the right thing, but also vital for strong economies.This book targets scholars, students, finance experts, and policymakers. It offers clear steps to build supportive ecosystems. It encourages teamwork between the public and private sectors. It also helps measure the real-world effects of sustainable investments. This book serves as a key academic resource and a practical tool. It is for anyone dedicated to creating a fairer, sustainable world using finance.

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Hardcover. Condizione: Brand New. 1st edition. 244 pages. 9.25x6.00x0.75 inches. In Stock.

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book unites experts from academia, industry, and policy. They look at using capital markets to enhance sustainability. They also aim to support inclusive growth around the globe. The author dedicates the book to exploring how capital flows can benefit communities. When capital market flows support social and environmental goals, they foster lasting prosperity.This book covers many topics. It includes green finance, social impact bonds, and ESG investing. It also adds sustainable practices to regular finance. It connects theory with practice, capital markets, and SDGs. It highlights new financial tools and rules that are changing global finance. The book covers various topics, such as infrastructure funding and supporting women-led businesses. It shows that sustainable finance is a must. It s not only about doing the right thing, but also vital for strong economies.This book targets scholars, students, finance experts, and policymakers. It offers clear steps to build supportive ecosystems. It encourages teamwork between the public and private sectors. It also helps measure the real-world effects of sustainable investments. This book serves as a key academic resource and a practical tool. It is for anyone dedicated to creating a fairer, sustainable world using finance. 332 pp. Englisch.

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Hardcover. Condizione: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condizione: Neu. From Poverty to Prosperity | Leveraging Capital Markets for Sustainable Development | Kirti Khanna (u. a.) | Buch | Information Systems Engineering and Management | xix | Englisch | 2025 | Springer | EAN 9783031991653 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.