Article
| Sl. | Author/s | Title | Publisher | Type | Publication Date | Action |
|---|---|---|---|---|---|---|
| 1 | DR. A. H. M. KAMAL , Sadia Afrin Urmi, Gahangir Hossain | A deep ensemble learning framework for precision image-level weed classification in paddy fields | Computers and Electronics in Agriculture | Article | 9 Apr 2026 |
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| 2 | DR. A. H. M. KAMAL , Monisha Dey | An Efficient Machine Learning Technique to Predict Chronic Kidney Disease (CKD) | Journal of Scientific & Industrial Research | Article | 14 Mar 2026 |
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| 3 | DR. A. H. M. KAMAL , Sultana Habiba | REVERSIBLE IMAGE STEGANOGRAPHYBASED ON EDGE DETECTION AND MPVD | INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY | Article | 14 Dec 2024 |
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| 4 | DR. MD. MIJANUR RAHMAN, DR. UZZAL KUMAR PRODHAN, Mahnuma Rahman Rinty | Prospective Interoperable Distributed e-Health System with Loose Coupling in Improving Healthcare Services for Developing Countries | Array | Article | December 2021 |
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| 5 | DR. MD. MIJANUR RAHMAN, Mahnuma Rahman Rinty , Fouzia Risdin | Extracting Text Information from Digital Images | International Journal of Scientific and Engineering Research | Article | May 2019 |
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| 6 | DR. MD. MIJANUR RAHMAN | Performance analysis of a parameterized minutiae-based approach for securing fingerprint templates in biometric authentication systems | Journal of Information Security and Applications | Article | Jun 2022 |
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| 7 | DR. MD. MIJANUR RAHMAN | The evolving roles and impacts of 5G enabled technologies in healthcare: The world epidemic COVID-19 issues | Array | Article | July 2022 |
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| 8 | DR. MD. MIJANUR RAHMAN | A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting | Journal of Reliable Intelligent Environments | Article | Jan 2022 |
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| 9 | DR. MD. MIJANUR RAHMAN | A prospective interoperable distributed e-Health system with loose coupling in improving healthcare services for developing countries | Journal of Array | Article | Mar 2022 |
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| 10 | DR. MD. MIJANUR RAHMAN | A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic | International Journal of Health Services | Article | May 2021 |
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