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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.
Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is presented in European Journal of Science and Technology.
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.
The project utilizes genetic algorithms to optimize the architecture of Artificial Neural Networks (ANN) conducting regression analysis on monochromatic laboratory figures
Deriving saltwater concentrations from the values of light intensity is a long-established image processing practice in laboratory scale investigations of saline intrusion.
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
Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.