We are currently running the Special Issue “Machine Learning in Image Processing and Pattern Recognition: Modern Methods and Applications” in the journal Mathematics (Impact Factor 1.747, Q1, red zone). Submission are welcome until 31 October 2021. For more information please check the link: https://www.mdpi.com/journal/mathematics/special_issues/Machine_Learning_Image_Processing_Pattern_Recognition

A novel compound stability-fit compensation index, to be used as a quality indicator in order to accept an explanation of a neural network prediction has been proposed in the paper “Stable and explainable deep learning damage prediction for prismatic cantilever steel beam”, published recently in the Elsevier journal Computers in Industry, (Impact Factor: 3.954, Q1 red zone) by the members of the SIMT (Signal, Image and Machine Learning Team) from the West University of Timisoara. This index is computed using both the condition number and the R2 fit indicator. Extensive testing, showed the benefits of this method to completely and trustfully characterize the location and the depth of damaged beams. Link to the paper: https://www.sciencedirect.com/science/article/abs/pii/S0166361520305935

This is a network created with the purpose to boost the AI Research in Timisoara.