Mufti Mahmud, PhD
Cited by
Cited by
Applications of Deep Learning and Reinforcement Learning to Biological Data
M Mahmud, MS Kaiser, A Hussain, S Vassanelli
IEEE Transactions on Neural Networks and Learning Systems, 2018
Deep Learning in Mining Biological Data
M Mahmud, MS Kaiser, M McGinnity, A Hussain
Cognitive Computation 13 (1), 1-33, 2021
A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications
M Mahmud, MS Kaiser, MM Rahman, MA Rahman, A Shabut, ...
Cognitive Computation 10 (5), 864-873, 2018
Toward a heterogeneous mist, fog, and cloud-based framework for the internet of healthcare things
M Asif-Ur-Rahman, F Afsana, M Mahmud, MS Kaiser, MR Ahmed, ...
IEEE Internet of Things Journal 6 (3), 4049-4062, 2018
Advances in Crowd Analysis for Urban Applications Through Urban Event Detection
MS Kaiser, KT Lwin, M Mahmud, D Hajializadeh, T Chaipimonplin, ...
IEEE Transactions on Intelligent Transportation Systems 19 (10), 3092-3112, 2018
An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication
F Afsana, M Asif-Ur-Rahman, MR Ahmed, M Mahmud, MS Kaiser
IEEE Access 6, 9186-9200, 2018
A neuro-fuzzy control system based on feature extraction of surface electromyogram signal for solar-powered wheelchair
MS Kaiser, ZI Chowdhury, S Al Mamun, A Hussain, M Mahmud
Cognitive Computation 8 (5), 946-954, 2016
A Consensus Novelty Detection Ensemble Approach for Anomaly Detection in Activities of Daily Living
SW Yahaya, A Lotfi, M Mahmud
Applied Soft Computing 83, 105613, 2019
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease andá…
MBT Noor, NZ Zenia, MS Kaiser, S Al Mamun, M Mahmud
Brain Informatics 7 (1), 1-21, 2020
Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication
S Vassanelli, M Mahmud
Frontiers in Neuroscience 10, 438, 2016
Social-Group-Optimization Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images
N Dey, V Rajinikant, SJ Fong, MS Kaiser, M Mahmud
Cognitive Computation 12 (5), 1011-1023, 2020
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective
MBT Noor, NZ Zenia, MS Kaiser, M Mahmud, S Al Mamun
International Conference on Brain Informatics, 115-125, 2019
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data
HM Ali, MS Kaiser, M Mahmud
International Conference on Brain Informatics, 136-146, 2019
TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique
G Rabby, S Azad, M Mahmud, KZ Zamli, MM Rahman
Cognitive Computation 12 (4), 811-833, 2020
Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-art and Challenges
M Mahmud, S Vassanelli
Frontiers in Neuroscience 10, 248, 2016
Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
Y Miah, CNE Prima, SJ Seema, M Mahmud, MS Kaiser
Advances on Smart and Soft Computing, 79-89, 2021
A Multi-recurrent Network for Crude Oil Price Prediction
O Orojo, J Tepper, TM McGinnity, M Mahmud
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2940-2945, 2019
QSpike Tools: a Generic Framework for Parallel Batch Preprocessing of Extracellular Neuronal Signals Recorded by Substrate Microelectrode Arrays
M Mahmud, R Pulizzi, E Vasilaki, M Giugliano
Frontiers in Neuroinformatics 8, 26, 2014
SigMate: A Matlab–based automated tool for extracellular neuronal signal processing and analysis
M Mahmud, A Bertoldo, S Girardi, M Maschietto, S Vassanelli
Journal of Neuroscience Methods, 2012
iWorkSafe: Towards Healthy Workplaces during COVID-19 with an Intelligent pHealth App for Industrial Settings
MS Kaiser, M Mahmud, MBT Noor, NZ Zenia, S Al Mamun, KMA Mahmud, ...
IEEE Access 9, 1-16, 2021
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