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

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The Comparative Approach to Solving Temporal-Constrained Scheduling Problem Under Uncertainty is also considered. The results of comparison for the three methods show that network activity planning in a fuzzy-interval problem formulation provides the best conditions for optimization and transparency of the production process.

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Computing the Death Rate of COVID-19,es 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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Artificial life and real world computing,ent 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

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