Publications
Publications
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An Integrative Machine Learning Strategy for the Prognosis of Heart Disease
An Integrative Machine Learning Strategy for the Prognosis of Heart Disease
Submitted/Ongoing
Submitted/Ongoing
1) Nobel, S.M.N., Hossain, M.A., Hossain, M.M., Sultana, S., Alahmadi, T.J., & Moni, M.A., "Enhanced Deep Learning Approach for Kidney Disease Detection and Diagnosis " Knowledge-Based Systems [Elsevier] (submitted). [IF 7.2]
2) Md A. Hamid, S.M. N. Nobel, M.A. Hossain, Md A. Imran, M. M. Monowar, Md M. Kabir, and M.F. Mridha, "SAMS: Revolutionizing Agriculture through IoT and AI Integration for Enhanced Sustainability," Multimedia Tools and Applications (submitted). [IF 3.1, SC=5.3]
Undergraduate Research Work
Undergraduate Research Work
Supervisor (Md. Ashraful Islam – Bangladesh university of Business and Technology)
Developed an IoT-enabled smart health monitoring system with emergency medical provision, which was also demonstrated at the Digital Bangladesh Mela 2023 for its innovation and real-world applications. Later on, project insights were integrated into my thesis, significantly contributing to its success.
Role: Contribution consisted of working collaboratively with my research team to design, build and deploy an IoT-based healthcare solution, ensuring seamless integration of sensors, cloud platforms and mobile applications.
Thesis Title: Health Intelligence- An IoT based system for remote health monitoring [Article Link]
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