0000-0002-9696-8176 About
Dr. Sweeti Sah is an Assistant Professor in the Department of Computer Engineering at the National Institute of Technology, Kurukshetra, Haryana, India. Prior to her current role, she served as an Assistant Professor at IIIT Kottayam. Dr. Sah earned her Master’s degree in Computer Science and Engineering from Babasaheb Bhimrao Ambedkar University, a central university located in Lucknow, U.P . Dr. Sah achieved her Ph.D. from the Department of Computer Science and Engineering at the National Institute of Technology Puducherry. She is a recipient of the M.Tech Gold Medal and has qualified in GATE (CSE) and NET (Computer Applications). Her research interests focus on Machine Learning, Deep Learning, and Bioinformatics. She has published in several reputed SCI-indexed journals and international conferences.
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Publications (10)
- Ghidra-Assisted Static Analysis and Ensemble Learning with Differential Privacy GANs for Ransomware Detection Save
- A federated learning approach for classifying chest diseases from chest X-ray images Save
- EDCNet: A Hybrid CNN-GRU Model with Improved Preprocessing for Eye Disease Detection Save
- Enhancing Forex Market Predictions with a Hybrid Prophet-LSTM Model Save
- Covid‐19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross‐validation approach Save
- Forecasting COVID-19 Pandemic Using Prophet, ARIMA, and Hybrid Stacked LSTM-GRU Models in India Save
- Predicting the Trends of COVID-19 Cases Using LSTM, GRU and RNN in India Save
- Classification and Alignment of SARS-Coronavirus Sequences: A Machine Learning and Bioinformatics Approach for Drug Discovery Save
- A Survey on Hyperledger Frameworks, Tools, and Applications Save
- COVID-19 Epidemic Analysis Using Linear and Polynomial Regression Approach Save