Md. Rezwanul Haque
Md. Rezwanul Haque
BSc in Computer Science and Engineering, KUET
Verified email at - Homepage
Cited by
Cited by
Breast cancer prediction: a comparative study using machine learning techniques
MM Islam, MR Haque, H Iqbal, MM Hasan, M Hasan, MN Kabir
SN Computer Science 1, 1-14, 2020
Prediction of breast cancer using support vector machine and K-Nearest neighbors
MM Islam, H Iqbal, MR Haque, MK Hasan
2017 IEEE region 10 humanitarian technology conference (R10-HTC), 226-229, 2017
Performance evaluation of random forests and artificial neural networks for the classification of liver disorder
MR Haque, MM Islam, H Iqbal, MS Reza, MK Hasan
2018 international conference on computer, communication, chemical, material …, 2018
Deep learning applications to combat novel coronavirus (COVID-19) pandemic
A Asraf, MZ Islam, MR Haque, MM Islam
SN Computer Science 1, 1-7, 2020
Prediction of cervical cancer from behavior risk using machine learning techniques
L Akter, MM Islam, MS Al-Rakhami, MR Haque
SN Computer Science 2 (3), 177, 2021
A computer vision based lane detection approach
MR Haque, MM Islam, KS Alam, H Iqbal, ME Shaik
International Journal of Image, Graphics and Signal Processing 10 (3), 27, 2019
Scalable telehealth services to combat novel coronavirus (COVID-19) pandemic
SMA Ullah, MM Islam, S Mahmud, S Nooruddin, SMTU Raju, MR Haque
SN Computer Science 2, 1-8, 2021
Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model
MA Golap, SMTU Raju, MR Haque, MMA Hashem
Biomedical Signal Processing and Control 67, 102478, 2021
A novel technique for non-invasive measurement of human blood component levels from fingertip video using DNN based models
MR Haque, SMTU Raju, MAU Golap, MMA Hashem
IEEE Access 9, 19025-19042, 2021
Badlad: A large multi-domain bengali document layout analysis dataset
MIH Shihab, MR Hasan, MR Emon, SM Hossen, MN Ansary, I Ahmed, ...
International Conference on Document Analysis and Recognition, 326-341, 2023
Corrections to" A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models".
MDR Haque, SMTU Raju, MDAU Golap, MMA Hashem
IEEE Access 9, 84178-84179, 2021
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