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Titlebook: Soft Computing and Signal Processing; Proceedings of 6th I Vustikayala Sivakumar Reddy,Jiacun Wang,K.T.V. Red Conference proceedings 2024 T

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樓主: TEMPO
21#
發(fā)表于 2025-3-25 06:41:05 | 只看該作者
Admission Prediction for Higher Studies in Foreign Universities,rithms such as AdaBoost, CatBoost, support vector machine, and Naive Bayes. Random forest, decision tree, and linear regression algorithms are used for predicting this model. This algorithm is trained and tested for predicting the admission for the student.
22#
發(fā)表于 2025-3-25 08:39:13 | 只看該作者
Detection of Abductors Using Machine Learning Algorithms,le (Sisodia et al., Evaluation of machine learning models for employee churn prediction, .). The AI is used to push the image that is closest to the victim’s facial features. There are various NGO’s and Government initiatives to help with it. This paper tries to implement a new way to help the polic
23#
發(fā)表于 2025-3-25 13:31:06 | 只看該作者
24#
發(fā)表于 2025-3-25 19:12:08 | 只看該作者
Chatbot for Banking Sector Using NLP and ML,nse. The suggested solution would assist in emulating the customer care experience while still attending to and resolving the customer’s inquiries (Aparaj et al., ICAICTE 2013 international conference on advanced information communication technology in engineering, 2013), with the difference that th
25#
發(fā)表于 2025-3-25 22:48:35 | 只看該作者
26#
發(fā)表于 2025-3-26 04:00:44 | 只看該作者
Analyzing Sentiment of Stock Market Data from Twitter Using Machine Learning and Deep Learning Techs, this is done by Natural Language Processing (NLP) techniques. Linear methods like machine learning and nonlinear methods like deep learning models are being compared. For our dataset, the ML model (SVM) performed better than LSTM (Deep Learning Approach).
27#
發(fā)表于 2025-3-26 05:13:22 | 只看該作者
28#
發(fā)表于 2025-3-26 11:41:46 | 只看該作者
29#
發(fā)表于 2025-3-26 15:32:00 | 只看該作者
30#
發(fā)表于 2025-3-26 19:29:33 | 只看該作者
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