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Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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書目名稱Computational Intelligence in Pattern Recognition
副標(biāo)題Proceedings of CIPR
編輯Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi
視頻videohttp://file.papertrans.cn/233/232529/232529.mp4
概述Presents research in the field of computational intelligence and pattern recognition.Features the outcomes of CIPR 2020, held in Kolkata, India.Serves as a reference resource for researchers and pract
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR  Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings
描述.This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments...?.
出版日期Conference proceedings 2020
關(guān)鍵詞Rough Set and Fuzzy Set Theory; Genetic Algorithm; Artificial Immune Systems; Optical Networks; Shape an
版次1
doihttps://doi.org/10.1007/978-981-15-2449-3
isbn_softcover978-981-15-2448-6
isbn_ebook978-981-15-2449-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques,xtraction techniques, and then important and relevant features are selected from the extracted features using the proposed method. The proposed method gives a remarkable result which can help in the agricultural field.
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https://doi.org/10.1057/9780230250956ly have a lower energy level compared to other forms, and this is represented by short time energy (STE)-based facet. The two broad categories of dance forms bear a basic asymmetry between them, and this can be represented by skewness-based facet. The combination of chroma-based facets and skewness-
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