Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2023 The Editor(s) (if appl

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An Artificial Neural Network Model Based on Non-linear Autoregressive Exogenous for Predicting the Hniques will be used to develop models based on the data obtained. Different configurations of the nonlinear autoregressive exogenous with input time series models (NARX) have been studied, and their results have been used to select the optimal model. In addition, three training algorithms were used,

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Emotion Recognition of Facial Expressions with Deep Learning and Transfer Learningterpersonal communication. Although there are many possible facial expressions, psychologists have identified six universally recognized basic expressions (happy, sad, surprised, angry, fearful, and disgusted). It is clear that a system capable of automatically recognizing human emotions is an ideal

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Proposed Hybrid Model Recurrent Neural Network for Human Activity Recognitionunity, thanks to the vast evolution and availability of smart devices in daily life. As well as the technological evolution of applications based on AI systems. The exploitation of HAR systems and applications in various sensitive areas such as the health sector and intelligent surveillance. After t

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Evaluation of CMIP5 and CMIP6 Performance in Simulating West African PrecipitationProject Phase 5 and 6 (CMIP5 and CMIP6) and compared to two observational datasets of Global Precipitation Climatologic Center and Climate Hazard Group InfraRed Precipitation with Station (GPCC and CHIRPS) using six extremes precipitation indices from Expert Team on Climate Change Detection and Indi

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