M M Manjurul Islam, PhD

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	All	Since 2019
Citations	1627	1580
h-index	18	18
i10-index	24	22

440

220

110

330

2017201820192020202120222023202419 22 105 226 333 373 424 115

Co-authors

Jongmyon Kim울산대 IT융합학부 교수Verified email at ulsan.ac.kr
Dr. Abdullah-Al Nahidkhulna University, Khulna-9208, Bangladesh and Macquarie University, Sydney, AustraliaVerified email at ku.ac.bd
Md Junayed HasanNational Subsea CentreVerified email at rgu.ac.uk
Alexander ProsvirinSenior Research Engineer at Huawei Technologies, Moscow, RussiaVerified email at mail.ulsan.ac.kr
Sheraz Ali KhanUniversity of Engineering & Technology PeshawarVerified email at uetpeshawar.edu.pk
Muhammad SohaibPostdoctoral Research Fellow, Zhejiang Normal UniversityVerified email at zjnu.edu.cn
Wasim AhmadAI Researcher, Friedrich Schiller UniversityVerified email at uni-jena.de
Md Alamgir KabirMälardalen University, SwedenVerified email at mdu.se
Faisal TariqSenior Lecturer (Associate Professor), University of GlasgowVerified email at glasgow.ac.uk
Hossain Md ShakhawatAssistant Professor at Independent University Bangladesh (IUB)Verified email at iub.edu.bd
Dr. Md. Rashedul Islam (ORCID: 0000...Associate Professor, University of Asia PacificVerified email at uap-bd.edu
Dr. Abu Shamim Mohammad ArifProfessor, Computer Science and Engineering Discipline, Khulna University and University of South Australia, Adelaide, AustraliaVerified email at cseku.ac.bd
Dr. Mir Md. Jahangir KabirLecturer, University of Technology Sydney, AustraliaVerified email at uts.edu.au
Alessandro CimattiFondazione Bruno KesslerVerified email at fbk.eu
Md. Sakir HossainAmerican International University-BangladeshVerified email at aiub.edu
Dr. Shohag BarmanPostdoctoral Researcher at SciLifeLab, Stockholm UniversityVerified email at scilifelab.se
Hira Lal Gope, PhDAssistant Professor, Department of CSE, Sylhet Agricultural University, BangladeshVerified email at sau.ac.bd
Dr. Jungpil ShinProfessor of Computer Science and Engineering, University of AizuVerified email at u-aizu.ac.jp
Md. Musfequs SalehinCharles Sturt UniversityVerified email at csu.edu.au
Márcia L. BaptistaAssistant Professor at TU Delft - Aerospace FacultyVerified email at tudelft.nl

M M Manjurul Islam, PhD

Research Associate, Ulster University, UK

Verified email at ulster.ac.uk - Homepage

Smart Manufacturing Artificial Intelligence Fault Prognosis Predictive Maintenance


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Electricity theft detection in smart grid systems: A CNN-LSTM based approach M Hasan, RN Toma, AA Nahid, MM Islam, JM Kim Energies 12 (17), 3310, 2019	312	2019
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models W Ahmad, SA Khan, MMM Islam, JM Kim Reliability Engineering & System Safety 184, 67-76, 2019	185	2019
Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions MJ Hasan, MMM Islam, JM Kim Measurement 138, 620-631, 2019	172	2019
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network MMM Islam, JM Kim Computers in Industry 106, 142-153, 2019	163	2019
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines MMM Islam, JM Kim Reliability Engineering & System Safety 184, 55-66, 2019	146	2019
Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder–decoder network MM Islam, JM Kim Sensors 19 (19), 4251, 2019	116	2019
Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines MMM Islam, AE Prosvirin, JM Kim Mechanical Systems and Signal Processing 160, 107853, 2021	57	2021
Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review S Mushtaq, MM Islam, M Sohaib Energies 14 (16), 5150, 2021	57	2021
Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines MMM Islam, J Kim, SA Khan, JM Kim The Journal of the Acoustical Society of America 141 (2), EL89-EL95, 2017	50	2017
Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions M Sohaib, M Islam, J Kim, DC Jeon, JM Kim Applied Sciences 9 (1), 196, 2019	39	2019
Multi-sensor fusion-based time-frequency imaging and transfer learning for spherical tank crack diagnosis under variable pressure conditions MJ Hasan, MMM Islam, JM Kim Measurement 168, 108478, 2021	37	2021
Fault diagnosis of motor bearing using ensemble learning algorithm with FFT-based preprocessing N Sikder, K Bhakta, A Al Nahid, MMM Islam 2019 International Conference on Robotics, Electrical and Signal Processing …, 2019	35	2019
Crack classification of a pressure vessel using feature selection and deep learning methods M Islam, M Sohaib, J Kim, JM Kim Sensors 18 (12), 4379, 2018	29	2018
Rub-impact fault diagnosis using an effective IMF selection technique in ensemble empirical mode decomposition and hybrid feature models AE Prosvirin, M Islam, J Kim, JM Kim Sensors 18 (7), 2040, 2018	27	2018
Time–frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings MMM Islam, JM Kim Journal of Ambient Intelligence and Humanized Computing, 1-16, 2017	26	2017
Motor bearing fault diagnosis using deep convolutional neural networks with 2D analysis of vibration signal MMM Islam, JM Kim Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018	25	2018
Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning MJ Hasan, MMM Islam, JM Kim Sensors 22 (1), 56, 2021	23	2021
An improved algorithm for selecting IMF components in ensemble empirical mode decomposition for domain of rub-impact fault diagnosis AE Prosvirin, MMM Islam, JM Kim IEEE Access 7, 121728-121741, 2019	23	2019
Feature selection techniques for increasing reliability of fault diagnosis of bearings MR Islam, MMM Islam, JM Kim 2016 9th International Conference on Electrical and Computer Engineering …, 2016	18	2016
Fault diagnosis of induction motor bearing using cepstrum-based preprocessing and ensemble learning algorithm K Bhakta, N Sikder, A Al Nahid, MMM Islam 2019 International Conference on Electrical, Computer and Communication …, 2019	17	2019

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