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In den WarenkorbZustand: New. Presents advanced modeling techniques like fractional-order systems, stochastic analysis, and deep learning frameworks applied to real-world problems such as breast cancer, dengue, HBV, LSD, and COVID-19Provides practical solutions for dise.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc Feb 2026, 2026
ISBN 10: 0443332347 ISBN 13: 9780443332340
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex disease dynamics. Covering a wide range of topics, including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, it addresses critical challenges in public health and healthcare systems. With contributions from leading experts, this volume bridges theoretical advancements and practical applications, making it an invaluable resource for researchers, healthcare professionals, and academics seeking interdisciplinary solutions to global health issues.
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443332347 ISBN 13: 9780443332340
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In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 9.25x7.50x9.25 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, San Diego, 2026
ISBN 10: 0443332347 ISBN 13: 9780443332340
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In den WarenkorbPaperback. Zustand: new. Paperback. Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex disease dynamics. Covering a wide range of topics, including fractional-order modeling, optimal control strategies, and privacy-preserving technologies, it addresses critical challenges in public health and healthcare systems. With contributions from leading experts, this volume bridges theoretical advancements and practical applications, making it an invaluable resource for researchers, healthcare professionals, and academics seeking interdisciplinary solutions to global health issues. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.