Patgiri Ripon (213 results)
Big Data, Machine Learning, and Applications : First International Conference, Bigdml 2019, Silchar, India, December 16?19, 2019, Revised Selected Papers
Patgiri, Ripon (EDT); Bandyopadhyay, Sivaji (EDT); Borah, Malaya Dutta (EDT); Thounaojam, Dalton Meitei (EDT)
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Big Data, Machine Learning, and Applications : First International Conference, Bigdml 2019, Silchar, India, December 16?19, 2019, Revised Selected Papers
Patgiri, Ripon (EDT); Bandyopadhyay, Sivaji (EDT); Borah, Malaya Dutta (EDT); Thounaojam, Dalton Meitei (EDT)
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Big Data, Machine Learning, and Applications : First International Conference, Bigdml 2019, Silchar, India, December 16?19, 2019, Revised Selected Papers
Patgiri, Ripon (EDT); Bandyopadhyay, Sivaji (EDT); Borah, Malaya Dutta (EDT); Thounaojam, Dalton Meitei (EDT)
- Softcover
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Big Data, Machine Learning, and Applications : First International Conference, Bigdml 2019, Silchar, India, December 16?19, 2019, Revised Selected Papers
Patgiri, Ripon (EDT); Bandyopadhyay, Sivaji (EDT); Borah, Malaya Dutta (EDT); Thounaojam, Dalton Meitei (EDT)
- Softcover
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Taschenbuch. Condition: Neu. Big Data, Machine Learning, and Applications | First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers | Ripon Patgiri (u. a.) | Taschenbuch | xi | Englisch | 2020 | Springer | EAN 9783030626242 | Verantwortliche Person für die EU: Springer Verlag Gm…bH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes refereed proceedings of the First InternationalFirst International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December.The 6 full papers and 3 short papers were carefull…y reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.
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Principles of Big Graph : In-depth Insight
Patgiri, Ripon (EDT); Deka, Ganesh Chandra (EDT); Biswas, Anupam (EDT)
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Applications of Nature-inspired Computing and Optimization Techniques
Biswas, Anupam/ Tonda, Alberto Paolo/ Patgiri, Ripon/ Mishra, Krishn Kumar
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Language: English
Published by Springer 2021
Series: Lecture Notes in Networks and Systems, Book 184 of 391. Book 184 of 391 - Lecture Notes in Networks and Systems
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December.The 6 full papers and 3 short papers were… carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.
Principles of Big Graph : In-depth Insight
Patgiri, Ripon (EDT); Deka, Ganesh Chandra (EDT); Biswas, Anupam (EDT)
- Hardcover
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Hardcover. Condition: new. Hardcover. This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applic…ations of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies. This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
