Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.

Human activity recognition using DNN fusion model.

A project to perform people identification at a distance using face and gait data with deep learning

Hybrid 1D+2D fusion for induction motor startup current fault diagnosis (reassigned spectrogram + FiLM)

Image Captioning using Neural Networks

Using modified autoencoders to color black and white photos

Frequency Analysis. Decay Factors Calculation. Bayesian Fusion with Mechanics. Clustering and Correlation. Monte Carlo Simulations. Sequential / Temporal Features. First-Order Markov Chain. Shannon Entropy Features. Quantum Encoder Training. Quantum Features & Kernel. Deep Learning Fusion Model.