Titlebook: Advances in Soft Computing; 20th Mexican Interna Ildar Batyrshin,Alexander Gelbukh,Grigori Sidorov Conference proceedings 2021 Springer Nat

外科醫(yī)生

Yag-Capsulotomy

acquisition

Reverie

https://doi.org/10.1007/978-94-007-2792-2 allows considering temporal-constrained schedules and determining the necessary resources allocation plan for the activities. A case-study example introduces and estimates three methods for constructing and calculating the main indicators necessary for analyzing the scheduling problem. Three mathem

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減至最低

Haixia Zhao,Xia Chang,Yuelin Gaoeir experiences, worries, and personal concerns. Because of this, there is a growing interest in analyzing this kind of content to identify people who commit self-harm, which is often one of the first signs of suicide risk. Recently, methods based on Deep Learning have shown good results in this tas

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即席演說

Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico present analysis allows the classification and tendency of public opinion. Furthermore, this study shows that measuring people’s opinion through machine learning and natural language processing techniques can generate significant benefits for institutions and businesses given that obtaining informa

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Text-Independent Speaker Identification Using Formants and Convolutional Neural Networkses which we believe should be different from one speaker to another, the way such images are built is original. Each image represent a specific speaker and so the problem of identifying speakers is turned into a problem of image recognition and we know how useful convolutional neural networks are fo

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Nahuatl Neural Machine Translation Using Attention Based Architectures: A?Comparative Analysis for Rent Neural Networks (RNNs) and Transformers, incorporating two segmentation techniques and two different corpus, it is possible to improve the state of the art regarding Nahuatl by more than four times the BLEU score (66.45) with second validation by using a Fuzzy similarity library. Such experiment