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Titlebook: Computational Intelligence in Machine Learning; Proceedings of the 2 Vinit Kumar Gunjan,Amit Kumar,Sri Niwas Singh Conference proceedings 2

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发表于 2025-3-21 20:09:54 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence in Machine Learning
副标题Proceedings of the 2
编辑Vinit Kumar Gunjan,Amit Kumar,Sri Niwas Singh
视频video
概述Comprises select peer-reviewed proceedings of the conference ICCIML 2022.Discusses all areas of machine learning, computational intelligence, and IOT.Includes papers on cyber-physical systems, cyberne
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Computational Intelligence in Machine Learning; Proceedings of the 2 Vinit Kumar Gunjan,Amit Kumar,Sri Niwas Singh Conference proceedings 2
描述.This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry  by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications..
出版日期Conference proceedings 2024
关键词Computational Intelligence; Machine Learning; Artificial Intelligence; Data Science; Neural Network; Cogn
版次1
doihttps://doi.org/10.1007/978-981-99-7954-7
isbn_softcover978-981-99-7956-1
isbn_ebook978-981-99-7954-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
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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,Cyber-Attacks and Anomaly Detection in Networking Based on Deep Learning—A Survey,as well. These security problems threaten user’s privacy and also increasing prominently because hackers launch attacks by injecting malicious software in to the network and disturbs normal flow of network activities. Traditional Artificial Intelligence specifically Machine Learning Algorithms is no
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AI-Enabled Analysis of Climate Change on Agriculture and Yield Prediction for Coastal Area,terms of yield production becomes very important. This project aims to analyze climate change by considering climatic parameters such as rainfall and temperature. Predict the yield using these climatic parameters for one main coastal district. In case the yield is less for a given location of a dist
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Deep Learning Methods for Predicting Severity for Diabetic Retinopathy on Retinal Fundus Images,ssels in the interior of the eye, causing diabetic retinopathy, an eye disorder. In working population, diabetic retinopathy is very common major root of sight loss or blindness. If this illness is not identified in its early stages, it may cause permanent eyesight loss. The rate of damage can be re
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Hate Text Finder Using Logistic Regression,ir race, gender, ethnicity, nationality, religion, political affiliation, language, ability or appearance. Offensive, abusive and profane language on social networks is an issue that governments and tech firms are trying to resolve. Considering the number of Internet users in world and the conflict
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Green Data Center Power Flow Management with Renewable Energy Sources and Interlinking Converter,s like data center infrastructure management (DCIM) contributing toward green clean energy and reducing greenhouse gases and CO. emission. While evaluating energy and sustainability for green data center, the power sources with their efficiency are to be properly selected with their future impacts.
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Design of Grid-Connected Battery Storage Wave Energy and PV Hybrid Renewable Power Generation,eration (EG) sources, a distribution feeder was designed for this purpose. In order to adequately examine the effects of ocean, SOFC FUEL CELL, and solar plants on system protection, several scenarios with high load and generation fluctuation were simulated. Unsymmetrical faults were also taken into
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