Titlebook: Deep Learning and Other Soft Computing Techniques; Biomedical and Relat Nguyen Hoang Phuong,Vladik Kreinovich Book 2023 The Editor(s) (if a

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Wolfgang Prinz,Thomas Rose,Nils Urbachfeatures by principal components and reduces the dimension of the data, the autoencoder yielded significant representation for the data ignoring unimportant data. We show competitive results and discuss efficiency of combining supervised and unsupervised learning for crew members’ EEG classification.

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J?rg Henkel,Sri Parameswaran,Newton Cheung implemented and obtained similar results as the standard GPU-based version on Google Colab. The vehicle detection was at 70% using the AP@0.5 metric. In addition, YOLOv7-tiny in vehicle detection and WPOD-Net in license plate detection obtained high frames per second (FPS), at 42 FPS and 204 FPS, which could be suitable for real-time application.

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Mental States Detection by Extreme Gradient Boosting and k-Meansfeatures by principal components and reduces the dimension of the data, the autoencoder yielded significant representation for the data ignoring unimportant data. We show competitive results and discuss efficiency of combining supervised and unsupervised learning for crew members’ EEG classification.

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Drug Repositioning for Drug Disease Association in Meta-pathsthe problem of drug repositioning. A set of five new meta paths based on the heterogeneous biological network of drug-protein-disease is implemented to define new drug-disease association. Technical advances in implementing the new meta paths are clear logical structure of the meta-paths and improvement in several performance metrics.

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Lightweight Models’ Performances on a Resource-Constrained Device for Traffic Application implemented and obtained similar results as the standard GPU-based version on Google Colab. The vehicle detection was at 70% using the AP@0.5 metric. In addition, YOLOv7-tiny in vehicle detection and WPOD-Net in license plate detection obtained high frames per second (FPS), at 42 FPS and 204 FPS, which could be suitable for real-time application.

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Book 2023clude?all aspects of medicine: from diagnostics (including analysis of medical?images and medical data) to therapeutics (including drug design?and radiotherapy) to epidemic- and pandemic-related public health policies..Corresponding techniques include machine learning (especially deep learning),?tec

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Federated Data Integration in Data Spacesand representation by proposing consistent interval type-2 fuzzy relations in the context of fuzzy inclusion as a measure of representing the degrees of association between medical entities. The concept of interval type-2 fuzzy relation will be introduced to represent the uncertainty and vagueness between medical entities.

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