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Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 1 Ajith Abraham,Mrutyunjaya Panda,Kun Ma Conference proceedings

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书目名称Innovations in Bio-Inspired Computing and Applications
副标题Proceedings of the 1
编辑Ajith Abraham,Mrutyunjaya Panda,Kun Ma
视频video
概述Presents Innovations in Bio-Inspired Computing and Applications.Gathers the Proceedings of the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019), hel
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 1 Ajith Abraham,Mrutyunjaya Panda,Kun Ma Conference proceedings
描述This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 38 high-quality papers from the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019) and 9th World Congress on Information and Communication Technologies (WICT 2019), which was held at GIET University, Gunupur, India, on December 16–18, 2019. As a premier conference, IBICA–WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 18 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering. 
出版日期Conference proceedings 2021
关键词Intelligent Systems; Bio-Inspired Computing; Biologically Inspired Computing; 9th International Confere
版次1
doihttps://doi.org/10.1007/978-3-030-49339-4
isbn_softcover978-3-030-49338-7
isbn_ebook978-3-030-49339-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-030-49339-4Intelligent Systems; Bio-Inspired Computing; Biologically Inspired Computing; 9th International Confere
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Image Retrieval Using Bat Optimization and Image Entropy,ce of image processing and its subfields like image classification, image segmentation, image retrieval, image enhancement, image compression, image restoration etc. This is also the reason behind the increase in the number of research works on image retrieval. It has inspired people to develop new
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Logistic Regression on Hadoop Using PySpark,e. A relatively good configuration may also not always produce quick outcomes and depending on the dataset size, the time taken would be anything between seconds to several hours. More often, the tasks we are interested in involve big datasets and complex models. The purpose of our work was to see h
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Cluster-Based Under-Sampling Using Farthest Neighbour Technique for Imbalanced Datasets,nce exists when the number of samples of one class is much lesser than the ones of the other classes. In real-world classification problems, data samples often have unequal class distribution. This problem is represented as a class imbalance problem. However, many solutions have been proposed in the
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