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Tahsinur Rahman

Observed names: Rahman, Tahsinur, Taslimur Rahman
ORCID: 0009-0000-2082-6916
Observed ORCID: 0009-0000-2082-6916
OpenAlex ID: A5062798747
IoT Based Patient Monitoring System Using ECG Sensor
2019 · Alvee Rahman, Tahsinur Rahman, et al. · International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · 100
Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach
2022 · Tahmid Hasan Pranto, Kazi Tamzid Akhter Md. Hasib, et al. · IEEE Access · 82
Internet of Things (IoT) based Smart Agriculture Aiming to Achieve Sustainable Goals
2022 · Ashir, Dewan Md Nur Anjum, Ahad, Md. Taimur, et al. · arXiv (Cornell University) · 9
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Interpreting Machine and Deep Learning Models for PDF Malware Detection using XAI and SHAP Framework
2023 · Tahsinur Rahman, Nusaiba Ahmed, et al. · 7
Prediction of diabetes induced complications using different machine learning algorithms
2018 · Tahsinur Rahman, Sheikh Mastura Farzana, et al. · BRAC University Institutional Repository (BRAC University) · 5
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AI-Powered Early Detection and Prognostic Modeling of Restrictive Cardiomyopathy Using Multimodal Non-Invasive Data
2025 · Md Juniadul Islam, Syeda Aynul Karim, et al. · Malaysian Journal of Science and Advanced Technology · 2
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BookCeption
2019 · Aniqa Zaida Khanom, Sheikh Mastura Farzana, et al. · International Conference on Software and Computer Applications (ICSCA) · 2
EmAc: An authentication method using Email and user activity
2024 · Taslimur Rahman, Abhijit Bhowmik · International Conference on Computing Advancements (ICCA)
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Evaluation of Earthquake Resistance of Urban Buildings using Image Processing and Machine Learning Techniques
2020 · Tahsinur Rahman, Yasin Ahmed, et al. · IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications.
2019 · Tahsinur Rahman, Aniqa Zaida Khanom, et al. · Machine Learning and Data Mining in Pattern Recognition
Works count: 10
Citation count: 207
H-index: 5
I10-index: 2
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