MANISH KUMAR PANDEY's repositories
Deep-Learning-Based-Approach-to-Anomaly-Detection-Techniques-for-Large-Acoustic-Data-
Deep-Learning-Based Approach to Anomaly Detection Techniques for Large Acoustic Data in Machine Operation.Developed a deep leaning algorithm which detects anomaly in acoustic sensor data with approx. 90% accuracy. Implemented the different machine/deep learning algorithms like SVM, KNN, K-means, CNN, Delayed LSTM, Conv LSTM and different Beamforming algorithms such as delay and sum beamforming, linear constrained minimum variance beamformer etc. and analyzed their limitations Formulated the Sound source localization algorithms like MUSIC algorithm (Multiple Signal Classification), TDOA and Steered response and currently working on the optimization of it using GAN-LSTM
Respiratory-Scans-based-COVID-19-Detection-using-Multi-Modal-Multi-Task-Learning-Framework
Python-based Implementation for "Respiratory Scans-based COVID-19 Detection using Multi-Modal Multi-Task Learning Framework"
-Contactless-Palmprint-Recognition-
Palmprint ROI extraction under unconstrained pose variations and implementation of a Deep Learning based system for contactless palmprint verification.
Deep-Learning-based-Covid-19-Time-Series-Prediction.
• Developed a Deep Learning-based Covid-19 Time Series Prediction. • Used Deep Learning and Statistical approaches to capture the patterns and trends of varying events related to infectious diseases. • Implemented ARIMA,HWAAS Models for exploiting linear dependencies in observations and time series forecasting for univariable data. • Explored RNN, LSTM Neural Network to find temporal correlations in time series prediction.