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Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Mukesh Kumar Gupta,Wang Lipo Conference proceedings 2021 The Edit

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發(fā)表于 2025-3-21 16:34:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Communication and Intelligent Systems
副標(biāo)題Proceedings of ICCIS
編輯Harish Sharma,Mukesh Kumar Gupta,Wang Lipo
視頻videohttp://file.papertrans.cn/231/230451/230451.mp4
概述Presents research works in the field of communication and intelligent systems.Provides original works presented at ICCIS 2020 held virtually in India.Offers state of the art to research scholars, scie
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Mukesh Kumar Gupta,Wang Lipo Conference proceedings 2021 The Edit
描述This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.
出版日期Conference proceedings 2021
關(guān)鍵詞Intelligent Systems; Communication; Artificial Intelligence; Machine Learning; Pattern Recognition; Image
版次1
doihttps://doi.org/10.1007/978-981-16-1089-9
isbn_softcover978-981-16-1088-2
isbn_ebook978-981-16-1089-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Project Wrap-Up, Delivery, and MaintenanceB capture of healthy and infected images; 30 to 35 images per crop per set were acquired, total dataset analyzed had 1160 images, and the process of identification was implemented via bag of features (BoF), under the umbrella; feature extraction was carried out by SIFT operator, and classification w
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Software Metrics and Measurementsh the mothers and their babies. This paper‘s central idea is figuring out if the birth is going to be premature or not by implementing gradient boosting classifiers of machine learning and conducting a comparative study between two such classification algorithms, namely XGB classifier and LGBM class
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Dynamic Stylometry for Defect Predictionussed: 1. Biometric traits quality improvement techniques in the BFS. 2. Feature extraction and optimization approaches. 3. Analysis of classifiers to improve biometric fusion accuracy. 4. Existing challenges of BFS. Besides, a review of existing work based on their accuracy of classification is als
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Lech Madeyski,Micha? ?mia?ek,Zbigniev Huzar CBR values of subgrade along a proposed road are collected. Nearly, 480 samples were collected in which 15 samples were used for comparison (control value). The results revealed that the artificial neural networks (ANN) prediction models were significant promising tool for predicting CBR of subgrad
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Software Architecture Evolutionwill classify themselves into groups of robots with similar functionalities, and they will publish the details of services (data) which they can offer. Robots which need those details will subscribe these groups, and communication will be limited to subscribed robots. This will reduce the number of
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