Pal rohit kumar (34 résultats)

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Etat : new. Hardcover. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. 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.…

Paperback. Etat : new. Paperback. Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists. 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.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists.…

Taschenbuch. Etat : Neu. Modern Biological Applications in the Age of AI | Kyla Latrice Tennin (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337370170 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) transforms the study and management of biological systems by enabling more efficient analysis, prediction, and decision-making across ecological and biological processes. As global challenges intensify, AI promotes sustainability in agriculture, conservation, ecosystem management, and biotechnology. By integrating large-scale biological data with advanced machine learning and computational models, AI optimizes resource use, improves environmental monitoring, and supports evidence-based solutions for sustainable development. The application of AI to sustainable biological systems represents an interdisciplinary approach that combines technological innovation with ecological responsibility to address pressing challenges facing society. AI for Sustainable Biological Systems explores how AI helps manage and optimize biological systems in ways that support environmental sustainability and resource efficiency. It examines the use of AI in areas like agriculture, biodiversity conservation, ecosystem monitoring, and biotechnology, as well as its potential to address global challenges related to climate change, food security, and ecological resilience. This book covers topics such as environmental science, sustainable development, and wildlife management, and is a useful resource for biologists, engineers, academicians, researchers, and scientists.…

Taschenbuch. Etat : Neu. AI for Sustainable Biological Systems | Kyla Latrice Tennin (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260026922 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …