A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

Code for our paper: Improved deep learning techniques in gravitational-wave data analysis.

OpenSource FAERS Database Cleansing, Merging and Analysis using postgresql

Neural Network Time Signal Detection with Wasserstein Loss

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

A MIMO detector with unknown noise statistics.

Augmented Pre-training Networks for Multi-type Signal Detection and Classification in Time-Frequency Spectrogram

A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.

EEG Epileptic Seizure Detection project that focuses on the detection of epileptic seizures in EEG recordings using machine learning models applied across multiple data domains: temporal, frequency, and time-frequency. It provides tools for data preprocessing, model training, evaluation, and an interactive graphical interface to explore and analyze

A real-time spectrum analyzer and signal detection tool, augmented by AI and ML.