Research in Computer Science

.- Convolutional neural network based detection approach of undesirable SMS (Short Message Service) in the Cameroonian context. .- Time aware implicit social influence estimation to enhance recommender systems performances. .- Analysis of COVID-19 coughs: From the mildest to the most severe form, a realistic classification using deep learning. .- SLCDeepETC : An On-Demand Analysis Ready Data pipeline on Sentinel-1 Single Look Complex for Deep Learning. .- Robusness of image classification on imbalanced datasets using capsules networks. .- Application of the multilingual acoustic representation model XLSR-53 for the transcription of Ewondo. .- Self-supervised and multilingual learning applied to the Wolof, Swahili and Fongbe. .- Explaining Meta-learner’s Predictions: case of corporate CO2 emissions. .- Building and validating an ontology for public procurement : The case of Cameroon. .- A Hybrid Algorithm Based on Tabu Search and K-means for Solving The Traveling Salesman Problem. .- Hybridization Of A Recurrent Neural Network By Quadratic Programming For Combinatory Optimization. .- A New Hybrid Algorithm Based on Ant Colony and Neural Networks with Attention Mechanism for Solving the Traveling Salesman Problem. .- Recurrent Neural Network Parallelization for Hate Messages Detection. .- Two high capacity text steganography schemes based on color coding. .- Integration of the triple block data security model based on distributed crypto-steganography in a distributed system.