Coauthored publications

5 of 5 records.

1. 2026 · Clinical knowledge graphs and retrieval-augmented generation

   ClinicGraphRAG knowledge graph and LLM retrieval-augmented generation for reliable clinical decision support summaries

   Md Mizanur Rahman with coauthors (author 3 of 10; full list in the publisher record)

   Discover Artificial Intelligence, 6(1), article 833. DOI 10.1007/s44163-026-01492-w

   Describes a knowledge-graph and retrieval-augmented pipeline for producing clinical decision-support summaries with source links, together with an image classification component. The article reports its classifier result by cross-validation; retrieval grounding and provenance correctness were not quantitatively evaluated in the published work. Publisher licence: CC BY-NC-ND 4.0.

   Related project: Graph provenance explorer: source-preserving retrieval

2. 2025 · Computer vision and biometrics

   Medical Image Classification and Enhancement Using Machine Learning: A Focus on Fingerprint Colorized Data

   Abdus Sobur, Rejon Kumar Ray, Salma Akter, Md Firoz Kabir, Md Yousuf Ahmad, Md Mizanur Rahman, Md Zakir Hossain

   Journal of Neonatal Surgery, 14(32S), 415–431. No DOI displayed in the publisher record.

   Applies machine learning to classification and enhancement of colorized fingerprint images. This is a biometrics computer-vision task; it is not chest imaging and not a clinical diagnostic validation. No DOI was displayed in the inspected publisher record. Publisher licence: CC BY 4.0.

   Related project: Attribution sanity lab

3. 2025 · Applied machine learning and analytics

   Strategic Insights through Machine Learning: A Comparative Study of Uber and Lyft with a Subscription-Based Model for Lyft (2017–2024)

   Md Imran Chowdhury Rana, Md Firoz Kabir, Md Yousuf Ahmad, Md Mizanur Rahman, MD Towhidul Rahman Faisal

   International Journal on Science and Technology (IJSAT), 16(2), article 4206. DOI 10.71097/IJSAT.v16.i2.4206

   A comparative machine-learning study of ride-hailing data for Uber and Lyft over 2017–2024 with a proposed subscription-based model. Presented here as applied ML research; it is not a deployed commercial system and reports no realised revenue outcome.

   Related project: Mobility demand forecasting

4. 2025 · Agricultural computer vision

   Coconut Leaf Disease Detection using Deep Learning Techniques

   Md Firoz Kabir, Md Mizanur Rahman, Abdulla Al Mamun, Md Yousuf Ahmad

   International Journal on Science and Technology (IJSAT), 16(1), article 1751. DOI 10.71097/IJSAT.v16.i1.1751

   Deep-learning classification of coconut leaf disease images. The article's narrative and table report accuracy differently and use differing split terminology, so no benchmark figure from it is restated on this site.

   Related project: Coconut leaf benchmark and audit trail

5. 2021 · Structured clinical data

   Hybrid Deep Learning Framework for Enhanced Heart Disease Prediction: Integrating XGBoost and Capsule Networks with CNN-Transformer Architectures

   Md Firoz Kabir, Md Yousuf Ahmad, Sahadat Khandakar, Md Mizanur Rahman

   Journal of Computer Science and Technology Studies, 3(2), 116–123. DOI 10.32996/jcsts.2021.3.2.9

   Tabular heart-disease prediction combining gradient boosting with capsule and CNN-Transformer components. Structured-data research; the publication date does not indicate continuous professional AI employment. Publisher licence: CC BY 4.0.

   Related project: Heart risk discrimination and calibration