Articles liés à Nature Inspired Computing for Data Science
Synopsis
An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO based Optimized Neural Network.- Mid-term Home Health Care Planning Problem with Flexible Departing Way for Caregivers.- Performance Analysis of NASNet on Unconstrained Ear Recognition.- Optimization of performance parameter for Vehicular Ad-hoc NETwork (VANET) using Swarm Intelligence.- Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data.- Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in microgrids.- Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas - a case study in San Miguelito, Honduras.- Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making.- Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-Objective Particle Swarm Optimization.- Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study.- An Evolutionary Algorithm based Hybrid Parallel Framework for Asia Foreign Exchange Rate prediction.
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- ÉditeurSpringer Nature Switzerland AG
- Date d'édition2020
- ISBN 10 3030338193
- ISBN 13 9783030338190
- ReliureRelié
- Langueanglais
- Nombre de pages295
- ÉditeurRout Minakhi, Rout Jitendra Kumar, Das Himansu
- Coordonnées du fabricantnon disponible
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Nature Inspired Computing for Data Science.
Edité par
Cham, Springer., 2020
ISBN 10 : 3030338193
ISBN 13 : 9783030338190
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XII, 295 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 871. Sprache: Englisch. N° de réf. du vendeur 11520GB
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Nature Inspired Computing for Data Science
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Springer International Publishing, 2020
ISBN 10 : 3030338193
ISBN 13 : 9783030338190
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the advances in nature-inspired computing and its value in data sciencePresents contributions from various fields of computational intelligence, machine learning, deep learning, and nature-inspired computing to build intelligent systems. N° de réf. du vendeur 448679494
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Nature Inspired Computing for Data Science
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030338193
ISBN 13 : 9783030338190
Neuf
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. N° de réf. du vendeur 9783030338190
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Nature Inspired Computing for Data Science
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Springer International Publishing Jan 2020, 2020
ISBN 10 : 3030338193
ISBN 13 : 9783030338190
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. 312 pp. Englisch. N° de réf. du vendeur 9783030338190
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Nature Inspired Computing for Data Science
ISBN 10 : 3030338193
ISBN 13 : 9783030338190
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Buch. Etat : Neu. Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. N° de réf. du vendeur 9783030338190
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
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Nature Inspired Computing for Data Science
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Hardcover. Etat : Brand New. 312 pages. 9.25x6.10x0.83 inches. In Stock. N° de réf. du vendeur x-3030338193
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
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Hardcover. Etat : New. New. book. N° de réf. du vendeur ERICA77330303381936
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