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Tumpa Rani Shaha

Observed names: Shaha, Tumpa, Shaha, Tumpa Rani, Tumpa Rani Shaha
ORCID: 0009-0008-0733-6128
Observed ORCID: 0009-0008-0733-6128
OpenAlex ID: A5003988430
Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms
2024 · Tumpa Rani Shaha, Momotaz Begum, et al. · BMC Medical Research Methodology · 19
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Prediction of juvenile crime in Bangladesh due to drug addiction using machine learning and explainable AI techniques
2022 · Meherun Nesa, Tumpa Rani Shaha, et al. · Journal of Computational Social Science · 16
A noble approach to develop dynamically scalable namenode in hadoop distributed file system using secondary storage
2019 · Tumpa Rani Shaha, Md. Nasim Akhtar, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 4
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Prediction of Depression Severity via Feature Grouping and Machine Learning with Burn Depression Checklist
2025 · Tumpa Rani Shaha, Momotaz Begum · CRC Press eBooks · 3
Partitioned feature selection: locally uniform feature selection with structured feature grouping for explainable predictor identification
2026 · Tumpa Rani Shaha, Fahmid Al Farid, et al. · Frontiers in Artificial Intelligence
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Interpretable AI Pipeline for Ranking Influential Depression Factors from the Burns Depression Checklist
2026 · Tumpa Rani Shaha, Momotaz Begum · Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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The Effect of Grouping Features Based on Clinical Knowledge on the Improvement of Multiclass Severity Classification
2026 · Tumpa Rani Shaha, Abdullah Al Mamun, et al.
Global-Local Feature-Based Rice Leaf Disease Classification Using Two-Stream Deep Neural Network Feature Fusion
2026 · Md Nahidur Rahaman, Abdullah Al Mamun, et al. · Computers
Dataset on Psychosocial Risk Factors and DASS-21-Based Depression, Anxiety, and Stress Levels Among University Students in Bangladesh
2026 · Shaha, Tumpa Rani, Begum, Momotaz, et al. · Mendeley Data
Dataset on Depression Symptoms and Severity among University Students in Bangladesh using Burn Depression Checklist
2026 · Shaha, Tumpa, Begum, Momotaz, et al. · Mendeley Data
Works count: 10
Citation count: 42
H-index: 3
I10-index: 2
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