Titlebook: Computational Intelligence in Communications and Business Analytics; 5th International Co Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha D

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,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

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烦躁的女人

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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

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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–

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