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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloCondizione: New. Dimpal Jyoti Mahanta is the Head and Associate Professor of Mathematics at The Assam Kaziranga University, Jorhat, India. He earned his Ph.D. in Mathematics from Tezpur University, specializing in parameter estimation for nonlinear growth models w.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. Scheduled from May 7 to May 9, 2025, in Jorhat, India, the conference aims to bring together researchers, academics, industry professionals, and policymakers to explore cutting-edge developments and their real-world impacts. ICDDA 2025 focuses on a broad spectrum of AI-related topics, including but not limited to Artificial Intelligence, Machine Learning, Data Structures and Algorithms, Data Mining, Image and Signal Processing, Natural Language Processing, Mathematical and Statistical Sciences, AI-Integrated Physical, Chemical, Biological, Environmental, Agricultural, Health and Social Sciences. By focusing on collaborative innovation, ICDDA 2025 aims to inspire progress in AI-driven technologies and their impact on science, industry, and society.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041272367 ISBN 13: 9781041272366
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Paperback. Condizione: new. Paperback. The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. Scheduled from May 7 to May 9, 2025, in Jorhat, India, the conference aims to bring together researchers, academics, industry professionals, and policymakers to explore cutting-edge developments and their real-world impacts. ICDDA 2025 focuses on a broad spectrum of AI-related topics, including but not limited to Artificial Intelligence, Machine Learning, Data Structures and Algorithms, Data Mining, Image and Signal Processing, Natural Language Processing, Mathematical and Statistical Sciences, AI-Integrated Physical, Chemical, Biological, Environmental, Agricultural, Health and Social Sciences. By focusing on collaborative innovation, ICDDA 2025 aims to inspire progress in AI-driven technologies and their impact on science, industry, and society. The conference emphasizes the integration of AI with diverse scientific and industrial domains, showcasing applications in areas such as healthcare, sustainability, robotics, and automation. Through keynote speeches, technical paper presentations, workshops, and panel discussions, ICDDA 2025 will explore how AI can solve real-world challenges and drive innovation across fields. Unlike other conferences, ICDDA 2025 prioritizes an interdisciplinary approach, bridging the gap between theoretical research and practical applications. The event also emphasizes ethical AI practices and sustainability, making it relevant to a wide audience, including researchers, engineers, data scientists, students, and decision-makers. The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041272367 ISBN 13: 9781041272366
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. Scheduled from May 7 to May 9, 2025, in Jorhat, India, the conference aims to bring together researchers, academics, industry professionals, and policymakers to explore cutting-edge developments and their real-world impacts. ICDDA 2025 focuses on a broad spectrum of AI-related topics, including but not limited to Artificial Intelligence, Machine Learning, Data Structures and Algorithms, Data Mining, Image and Signal Processing, Natural Language Processing, Mathematical and Statistical Sciences, AI-Integrated Physical, Chemical, Biological, Environmental, Agricultural, Health and Social Sciences. By focusing on collaborative innovation, ICDDA 2025 aims to inspire progress in AI-driven technologies and their impact on science, industry, and society. The conference emphasizes the integration of AI with diverse scientific and industrial domains, showcasing applications in areas such as healthcare, sustainability, robotics, and automation. Through keynote speeches, technical paper presentations, workshops, and panel discussions, ICDDA 2025 will explore how AI can solve real-world challenges and drive innovation across fields. Unlike other conferences, ICDDA 2025 prioritizes an interdisciplinary approach, bridging the gap between theoretical research and practical applications. The event also emphasizes ethical AI practices and sustainability, making it relevant to a wide audience, including researchers, engineers, data scientists, students, and decision-makers. The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.