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.
Télécharger le livre :  Medical Analytics for Clinical and Healthcare Applications

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
Format(s) : PDF, ePub
197,50

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Télécharger le livre :  Nanostructured Thin Film Deposition by Sputtering

Nanostructured Thin Film Deposition by Sputtering: From Fundamentals to Applications provides an exhaustive overview of the significant influence of sputtering in the production of nanostructured thin films. It begins with a review of the historical evolution and...
Editeur : Woodhead Publishing
Parution : 2025-07-05

Format(s) : PDF sans DRM, epub sans DRM
183,56

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Télécharger le livre :  Metaheuristics for Machine Learning

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
Parution : 2024-03-15
Collection : Artificial Intelligence and Soft Computing for Industrial Transformation
Format(s) : PDF, ePub
197,50

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Télécharger le livre :  Advances in Electronics, Communication and Computing

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
Format(s) : PDF, ePub
336,54

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