Md Aktaruzzaman PhD (Italy)
Md Aktaruzzaman PhD (Italy)
Professor, Dept. of Computer Science and Engineering, Islamic University, Kushtia
Verified email at - Homepage
Cited by
Cited by
Bubble entropy: An entropy almost free of parameters
G Manis, MD Aktaruzzaman, R Sassi
IEEE Transactions on Biomedical Engineering 64 (11), 2711-2718, 2017
Parametric estimation of sample entropy in heart rate variability analysis
MA Roberto Sassi
Biomedical Signal Processing and Control 14, 141-147, 2014
A new benchmark on american sign language recognition using convolutional neural network
MM Rahman, MS Islam, MH Rahman, R Sassi, MW Rivolta, ...
2019 International Conference on Sustainable Technologies for Industry 4.0 …, 2019
Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification
M Aktaruzzaman, MW Rivolta, R Karmacharya, N Scarabottolo, L Pugnetti, ...
Computers in biology and medicine 89, 212-221, 2017
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ...
Artificial intelligence in medicine 95, 38-47, 2019
Low computational cost for sample entropy
G Manis, M Aktaruzzaman, R Sassi
Entropy 20 (1), 61, 2018
The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability
M Aktaruzzaman, M Migliorini, M Tenhunen, SL Himanen, AM Bianchi, ...
Medical & biological engineering & computing 53 (5), 415-425, 2015
Recognition bangla sign language using convolutional neural network
MS Islalm, MM Rahman, MH Rahman, M Arifuzzaman, R Sassi, ...
2019 international conference on innovation and intelligence for informatics …, 2019
Convolutional neural networks performance comparison for handwritten Bengali numerals recognition
MM Rahman, MS Islam, R Sassi, M Aktaruzzaman
SN Applied Sciences 1 (12), 1-11, 2019
Non-linear regularity of arterial blood pressure variability in patient with atrial fibrillation in tilt-test procedure
S Cerutti, VDA Corino, LT Mainardi, F Lombardi, M Aktaruzzaman, ...
Europace 16 (suppl_4), iv141-iv147, 2014
Automatic vs. Clinical assessment of fall risk in older individuals: A proof of concept
MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Recognition Satatic Hand Gestures of Alphabet in ASL
MA Md. Atiqur Rahman, Dr. Ahsan-Ul-Ambia
International Journal of Computer and Information Technology (IJCIT) 2 (1 …, 2011
Performance comparison of fuzzy queries on fuzzy database and classical database
AHMS Hoque, MS Ali, M Aktaruzzaman, SK Mondol, B Islam
2008 International Conference on Electrical and Computer Engineering, 654-658, 2008
Sample entropy parametric estimation for heart rate variability analysis
M Aktaruzzaman, R Sassi
Computing in Cardiology 2013, 429-432, 2013
Parametric estimation of sample entropy for physical activity recognition
M Aktaruzzaman, N Scarabottolo, R Sassi
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
A new technique for segmentation of handwritten numerical strings of bangla language
M Aktaruzzaman, MF Khan, A Ul Ambia
Ahsan-Ui-Ambia and M
MA Rahman
Aktaruzzaman," Recognition Static Hand Gesture of Alphbetin ASL," IJCIT 2 (01), 2011
EyeNet: An improved eye states classification system using convolutional neural network
MM Rahman, MS Islam, MKA Jannat, MH Rahman, M Arifuzzaman, ...
2020 22nd International Conference on Advanced Communication Technology …, 2020
Handwritten Character Recognition System for Bangla Text Containing Modifiers and Overlapped Characters
MSI Md. Mojahidul Islam, Md. Aktaruzzaman, Md. Farukuzzaman Khan
Asian Transactions on Computers 1 (5), 15-19, 2011
A deep learning-based multi-model ensemble method for eye state recognition from EEG
MA Md Shafiqul Islam, Md Moklesur Rahman, Md. Hafizur Rahman, Md Robiul ...
IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC …, 2021
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