Master of Technology
Maulana Azad National Institute of Technology
- 2020/09Started
-
2022/07End
Human Activity Recognition
Evaluated various deep learning models (CNN, CNN‑LSTM, LSTM‑CNN, LSTM, CNN‑GRU,GRU‑CNN, GRU), including convolutional, gated recurrent, and long short‑term memory networks, for accurate human activity recognition
Evaluated various deep learning models (CNN, CNN‑LSTM, LSTM‑CNN, LSTM, CNN‑GRU,GRU‑CNN, GRU), including convolutional, gated recurrent, and long short‑term memory networks, for accurate human activity recognition
Gait classification framework based on Ensemble Learning
Ensemble learning on the task of gait recognition using CNN
Ensemble learning on the task of gait recognition using CNN
Graph Neural Network Based Delay Estimation of Large Computer Networks
Utilized graph neural network (GNN) based route estimation using routenet to analyze the impact of node and path interactions on network performance metrics, enabling efficient network design and optimization.
Utilized graph neural network (GNN) based route estimation using routenet to analyze the impact of node and path interactions on network performance metrics, enabling efficient network design and optimization.