后来
发表于 2025-3-26 21:08:39
,A Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religioucessing and it is able to handle a large amount of data. It is trained using the data sets of the 12 main religions of the world and it is able to perform predictive analysis of the input text since the model is trained using RNN and LSTM algorithms. We have also used the KNN algorithm in the testin
同音
发表于 2025-3-27 02:38:04
http://reply.papertrans.cn/24/2325/232471/232471_32.png
烦躁的女人
发表于 2025-3-27 09:01:28
http://reply.papertrans.cn/24/2325/232471/232471_33.png
得意人
发表于 2025-3-27 12:29:55
http://reply.papertrans.cn/24/2325/232471/232471_34.png
irradicable
发表于 2025-3-27 14:54:17
http://reply.papertrans.cn/24/2325/232471/232471_35.png
蔑视
发表于 2025-3-27 19:57:03
http://reply.papertrans.cn/24/2325/232471/232471_36.png
阻塞
发表于 2025-3-28 02:00:17
http://reply.papertrans.cn/24/2325/232471/232471_37.png
性别
发表于 2025-3-28 02:37:10
https://doi.org/10.1007/978-1-4757-4298-5ree frames of three different picture variations that contain non-overlapping object frames. We mathematically show that the entire moving object is always discernible in the second image that was selected. We investigated the proposed strategy on a dataset collected in our lab and a public benchmar
Clumsy
发表于 2025-3-28 06:46:38
Reinhold Haux,Alfred Winter,Birgit Brigllidated reliable classification algorithms enabling timely detection of DR. Convolutional neural networks (CNN)-based advanced deep learning models are used to fully use data-driven machine learning techniques for this purpose. We also defined the issue as the detection of DR of any grade (Grades 1–
Expurgate
发表于 2025-3-28 10:31:21
http://reply.papertrans.cn/24/2325/232471/232471_40.png