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Author

Sangita Baruah

Observed name: Baruah, Sangita
Institution: Cotton University
ORCID: 0000-0002-7455-161X
Observed ORCID: 0000-0002-7455-161X
OpenAlex ID: A5019574163
Botnet Detection: Analysis of Various Techniques
2019 · Sangita Baruah · SSRN Electronic Journal · 16
Reviewing various feature selection techniques in machine learning‐based botnet detection
2024 · Sangita Baruah, Dhruba Jyoti Borah, et al. · Concurrency and Computation Practice and Experience · 13
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Detection of Peer-to-Peer Botnet Using Machine Learning Techniques and Ensemble Learning Algorithm
2023 · Sangita Baruah, Dhruba Jyoti Borah, et al. · International Journal of Information Security and Privacy · 13
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Feature Extraction and Comparative Analysis of Firing Pin, Breech Face, and Annulus Impressions from Ballistic Cartridge Images
2025 · Sangita Baruah, R. Suresh, et al. · Forensic Sciences · 3
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection
2025 · Sangita Baruah, Vaskar Deka, et al. · Future Internet · 2
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CompactEEG-Audit: a four-probe interpretability audit pipeline for compact EEG classifiers
2026 · Patir, Bikram, Das, Monjyoti, et al. · Zenodo (CERN European Organization for Nuclear Research)
NeoMiRX an interpretable deep learning framework for miRNA-based cancer classification and regulatory network analysis
2026 · Ashimjyoti Nath, Chandan Jyoti Kumar, et al. · Discover Artificial Intelligence
Comparative Analysis of Machine Learning Models and Majority Voting Ensemble for Diabetes Prediction
2025 · Sangita Baruah, Chandan Kumar, et al. · International Journal on Science and Technology
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Machine Learning-Aided Breast Cancer Detection: Towards Reducing Mortality Rates
2025 · Dhruba Jyoti Borah, Sangita Baruah · Studies in computational intelligence
Performance comparison of feature selection algorithms in context of P2P botnet detection
2025 · Vaskar Deka, Sangita Baruah · International Journal of Information and Computer Security
Works count: 10
Citation count: 47
H-index: 3
I10-index: 3
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