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Biographie et livres de Kanak Kalita

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Kanak Kalita is an assistant professor and researcher in the field of computational engineering. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, finite element method, and composites.
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Téléchargez le livre :  Decision-Making Techniques and Methods for Sustainable Technological Innovation
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Decision-Making Techniques and Methods for Sustainable Technological Innovation

S. Balamurugan , M. Elangovan , Kanak Kalita , J. V. N. Ramesh


Wiley-Scrivener

2025-10-02

PDF, ePub

This book is an essential guide for anyone looking to drive sustainable technological innovation, providing a comprehensive toolkit of decision-making methods and real-world applications to effectively manage technology in the era of Industry 5.0....

197,50

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Télécharger le livre :  Medical Analytics for Clinical and Healthcare Applications
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The book is essential for anyone exploring the forefront of healthcare innovation, as it offers a thorough exploration of transformative data-driven methodologies that can significantly enhance patient outcomes and clinical efficiency in today’s evolving medical...

Editeur : Wiley-Scrivener
Parution : 2025-08-29
Collection : Machine Learning in Biomedical Science and Healthcare Informatics
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197,50
Télécharger le livre :  Metaheuristics for Machine Learning
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METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic...

Editeur : Wiley-Scrivener
Parution : 2024-03-28
Collection : Artificial Intelligence and Soft Computing for Industrial Transformation
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197,50
Télécharger le livre :  Advances in Electronics, Communication and Computing
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This book comprises select proceedings of the international conference ETAEERE 2020, and covers latest research in the areas of electronics, communication and computing. The book includes different approaches and techniques for specific applications using particle swarm...

Editeur : Springer
Parution : 2021-01-28
Collection : Lecture Notes in Electrical Engineering
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336,54