AI/ML research support for prediction, classification, regression, computer vision, intelligent control, fault diagnosis and engineering datasets.
ANN, CNN, LSTM, machine learning, deep learning, regression, classification, fault diagnosis, SOH, RUL, YOLO, prediction
Each project page includes a research demonstration and research-style explanation so scholars can quickly understand scope, tools and expected results.
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Research video, methodology, expected outputs and applications for BLDC Motor Control Using PID vs Neural Network – Speed & Rotor Angle MATLAB S…
Research video, methodology, expected outputs and applications for LSTM-Trained Adaptive MPPT Strategy for Performance Optimization of Grid-Tied…
Research video, methodology, expected outputs and applications for Low Voltage Fault Detection and Classification in Power Systems Using MATLAB…
Research video, methodology, expected outputs and applications for Solar Panel Fault Detection and Classification Using Simulink Modeling and Py…
Research video, methodology, expected outputs and applications for Artificial Intelligence Enabled Palmprint Recognition Using Deep Learning
Research video, methodology, expected outputs and applications for MATLAB Implementation of Regression Analysis for Estimating SOH and RUL in Ba…
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