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My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani
Deriving saltwater concentrations from the values of light intensity is a long-established image processing practice in laboratory scale investigations of saline intrusion.
This Repository contains Solutions to Lab Assignments/slides and my personal Notes of the Machine Learning (2022) from Stanford University on Coursera taught by Andrew Ng.
Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks
A machine learning project that I worked on in Summer 2019 during my internship where I used MATLAB to train AlexNet to perform facial recognition in real-time to identify people. This was my first time using MATLAB.
A two-stage backpropagation artificial neural network (BP-NN) and nonlinear autoregressive exogenous (NARX) model was developed to analyze the mechanisms of biogas upgrading.
TriFilterNet processes electrophysiological recordings to identify pre-grooming events using triangular filters and a minimal neural network. It reduces the feature set and classifies behavioral states based on decorrelated coefficients.