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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書目名稱Computational Intelligence in Machine Learning影響因子(影響力)




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書目名稱Computational Intelligence in Machine Learning被引頻次學(xué)科排名




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書目名稱Computational Intelligence in Machine Learning讀者反饋




書目名稱Computational Intelligence in Machine Learning讀者反饋學(xué)科排名

Fulminate

,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

Comprise

Comprise

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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