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Author

Rakibul Islam

ORCID: 0000-0002-0646-6376
Observed ORCID: 0000-0002-0646-6376
OpenAlex ID: A5101977436
A comprehensive review for chronic disease prediction using machine learning algorithms
2024 · Rakibul Islam, Azrin Sultana, et al. · Journal of Electrical Systems and Information Technology · 62
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Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification
2023 · Azrin Sultana, Rakibul Islam · Journal of Electrical Systems and Information Technology · 53
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A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction
2024 · Rakibul Islam, Azrin Sultana, et al. · Healthcare Analytics · 24
Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms
2023 · Rakibul Islam, Azrin Sultana, et al. · Journal of Healthcare Engineering · 24
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Research on Optimizing Demand Response Programs using LSTM Networks
2025 · Rethwan Faiz, Nuzat Nuary Alam, et al. · International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · 1
Evaluating machine learning algorithms for classifying urban heterogeneous landscapes using GEE
2025 · Padmanabha Chowdhury, Rakibul Islam, et al. · Elsevier eBooks · 1
A Representative Sampling Approach to Few-Shot Transfer Learning
2025 · Rusith Chamara Hathurusinghe Dewage, Habib Ullah, et al. · Norsk IKT-konferanse for forskning og utdanning
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Uncertainty Estimation and Calibration of a Few-Shot Transfer Learning Model for Lettuce Phenotyping
2025 · Rusith Dewage, Habib Ullah, et al. · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Works count: 8
Citation count: 164
H-index: 4
I10-index: 4
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