manish-genai Goto Github PK

-contactless-palmprint-recognition-

Palmprint ROI extraction under unconstrained pose variations and implementation of a Deep Learning based system for contactless palmprint verification.

-respiratory-scan-based-covid-19-detection-using-multi--modal-multi-task-learning-framework-

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

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.

eeml-code

EEML Code Implementation for the paper "ADAPTIVE UNIVERSAL GENERALIZED PAGERANK GRAPH NEURAL NETWORK"

manishpandey.github.io

paint-github-31327

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"