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Abdul Aziz Kabir
Observed name:
Kabir, Abdul Aziz
Institution:
Westcliff University
Observed institution:
Westcliff University
ORCID:
0009-0008-2277-0125
Observed ORCID:
0009-0008-2277-0125
OpenAlex ID:
A5134305911
Machine learning based clinical decision support for heart disease prediction using structured patient data
2024
·
Saeed Ur Rashid
, Md Ismail Hossain Siddiqui
, et al.
·
Journal of Computer Science and Technology Studies
·
2
PDF
Comparative analysis of explainable machine learning models for cancer classification using cytological features
2023
·
Md Ismail Hossain Siddiqui
, Md. Soebur Rahman
, et al.
·
Journal of Medical and Health Studies
·
2
Detection of False Stealthy Data Injection Attacks in Smart Meters Using Machine Learning and Blockchain Technology
2026
·
Mohiuddin Mehedi
, Abdul Aziz Kabir
, et al.
·
Computers
Mental health supportive response matching via multi-view graph attention on concept interaction graphs
2026
·
Shahid Sanjida Juthi
, Saima Tasnim
, et al.
·
Discover Analytics
From Financial Transactions to Clinical Records: a Unified Machine Learning Methodology for Real-time Anomaly Detection and Institutional Decision Support in High-stakes Domains
2025
·
Md Soebur Rahman
, Abdul Aziz Kabir
, et al.
·
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS
PDF
Data-driven Decision Intelligence for Institutions: Federated Machine Learning Approaches to Financial Fraud Prevention and Clinical Disease Detection
2025
·
Saeed Ur Rashid
, MD Asif Hassan Reon
, et al.
·
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
PDF
Adaptive Ai-driven Analytical Frameworks for High-stakes Institutional Decision-making: Real-time Fraud Detection and Early Disease Diagnosis Across Financial and Healthcare Systems
2025
·
Abdul Aziz Kabir
, MD Asif Hassan Reon
, et al.
PDF
Multimodal Machine Learning Framework for Privacy Preserving and Scalable Cancer Diagnosis Across Healthcare Systems
2024
·
Kabir, Abdul Aziz
, Mahmud, Farhad Uddin
, et al.
·
Journal of Adaptive Learning Technologies
PDF
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Works count:
8
Citation count:
4
H-index:
2
I10-index:
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