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Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Deepak Gupta,Ashish Khanna,Ajay Jaiswal Conferenc

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楼主: Ingrown-Toenail
发表于 2025-3-30 11:26:21 | 显示全部楼层
Classification of Sentiment Reviews for Indian Railways Using Machine Learning Methods, .-measure, recall, precision, logarithmic loss, and accuracy. The first section of this paper provides the preface of sentiment analysis, and the next section presents the related work and motivation for sentiment analysis then methodology adopted for better decision making through machine learning
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Heart Disease Prediction Using Modified Machine Learning Algorithm,s by implementing a modified machine learning algorithm. The input data are passed through various procedures comprising preprocessing, clustering, and selection of effective attributes before classification. To determine the heart illness, four algorithms which include random forest, K-means, genet
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Anshika Choudhary,Anuja Arorama and disability. Obesity and mental disorder each accounts for substantial burden of disease, social prejudice, and discrimination and internalized stigma. A multifaceted relationship links psychopathology, obesity, social discrimination, and disability with circular connections.
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Hicham Boudlal,Mohammed Serrhini,Ahmed Tahiriorate record-to-record variability. For both as-built and BRB retrofitted frame seismic fragility curves are obtained. For seismic risk assessment, the site-specific seismic hazard curve of Guwahati city giving relationship between annual probability of exceedance and peak spectral acceleration at 1
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Nidhi M. Chourey,Rashmi Sonithis approach, it is ardently necessary to understand the core reasoning behind the disasters, theirimpact on the socio-economic contexts, and the ways to mitigate them. The book can be a valuable reference for beginners, researchers, and professionals interested in disaster risk reduction and allie
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Savita Yadav,Pinaki Chakraborty,Prabhat Mittal,Aditya Kumar,Harshit Gupta
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