Publications
M M Manjurul Islam has published several papers in journals and international conferences
Journal Papers
2022
[J18] Sohaib, Muhammad, Shahid Munir, M M Manjurul Islam, Jungpil M. Shin, Faisal Tariq, Mamun Rashid, and Jong-Myon Kim (2022): "Gearbox Fault Diagnosis using Improved Feature Representation and Multitask Learning." Frontiers in Energy Research: 1410. (IMPACT FACTOR 3.8585) [Cite & Details]
2021
[J17] Mushtaq, Shiza, M M Manjurul Islam, and Muhammad Sohaib (2021): "Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review" Energies 14, no. 16: 5150. (IMPACT FACTOR 3.031) [Cite & Details]
[J16] M M Manjurul Islam, Alexander E. Prosvirin, and Jong-Myon Kim (2021): "Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines." Mechanical Systems and Signal Processing 160 (2021): 107853. (IMPACT FACTOR 6.471) [Cite & Details]
[J15] Sikder, Niloy, Abu Shamim Mohammad Arif, M M Manjurul Islam, and Abdullah-Al Nahid (2021): "Induction Motor Bearing Fault Classification Using Extreme Learning Machine Based on Power Features." Arabian Journal for Science and Engineering (2021): 1-17. (IMPACT FACTOR 1.711 ) [Cite & Details]
2020
[J14] Hasan, M M Manjurul Islam, and Jong-Myon Kim (2020): Multi-sensor fusion-based time-frequency imaging and transfer learning for spherical tank crack diagnosis under variable pressure conditions. Measurement 168: 108478, 2020, (IMPACT FACTOR 3.364) [Cite & Details]
[J13] A. E. Prosvirin, M M Manjurul Islam and Jong-Myon Kim (2020): An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis, IEEE Access. (IMPACT FACTOR 4.098) [Cite & Details]
2019
[J12] M M Manjurul Islam and Jong-Myon Kim (2019): Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network. Sensors 2019, 19, 4251. (IMPACT FACTOR 3.031) [Cite & Details]
[J11] Nazmul Hasan, Md, Rafia Nishat, Abdullah-Al Nahid, M M Manjurul Islam, and Jong-Myon Kim (2019): Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach, Energies 12, no. 17 (2019): 3310. (IMPACT FACTOR 2.707) [Cite & Details]
[J10] unayed Hasan, M M Manjurul Islam, Jong-Myon Kim (2019): Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions, Measurement, 106, 620-631, 2019. (IMPACT FACTOR 2.791) [Cite & Details]
[J9] M M Manjurul Islam, Jong-Myon Kim (2019): Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network . Computers in Industry, 106, 142-153, 2019. (IMPACT FACTOR 11.245) [Cite & Details]
[J8] Mohammad Sohaib, M M Manjurul Islam, Jaeyooung Kim, Jong-Myon Kim (2019):Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions . Appl. Sci. 9(1), 196, 2019. (IMPACT FACTOR 2.217) [Cite & Details]
2018
[J7] M M Manjurul Islam, Mohammad Sohaib, Jaeyooung Kim, Jong-Myon Kim (2018): Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. Sensors, 8(12), 4379, 2018. (IMPACT FACTOR 3.031) [Cite & Details]
[J6] Prosvirin Alexander, M M Manjurul Islam, Jaeyooung Kim, Jong-Myon Kim (2018): Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors, 8, 2040, 2018. (IMPACT FACTOR 3.031) [Cite & Details]
[J5] M M Manjurul Islam, Jong-Myon Kim (2018): Reliable Multiple Combined Fault Diagnosis of Bearings Using Heterogeneous Feature Models and Multiclass Support Vector Machines. Reliability Engineering & System Safety, 184, 67-76, 2018. (IMPACT FACTOR 4.139) [Cite & Details]
[J4] W. Ahmad, S.A. Khan, M M Manjurul Islam, Jong-Myon Kim (2018): A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. Reliability Engineering & System Safety, 184, 55-66, 2018. (IMPACT FACTOR 4.139) [Cite & Details]
2017
[J3] M M Manjurul Islam, Jong-Myon Kim (2017): Time–frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. Journal of Ambient Intelligence and Humanized Computing, 10/2017. (IMPACT FACTOR 1.423) [Cite & Details]
[J2] M M Manjurul Islam, J. Kim, S.A Khan, Jong-Myon Kim: Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines. The Journal of the Acoustical Society of America, 141(2017), EL89, 2017. (IMPACT FACTOR 1.605) [Cite & Details]
2016
[J1] Shohag Barman, Hiralal Gope, M M Manjurul Islam, Md Mehedi Hasan, Umme Salma: Clustering Techniques for Software Engineering. TELKOMNIKA Indonesian Journal of Electrical Engineering, 4(2), 465-472, 2016. [Cite & Details]
Book Chapters
2023
[B7] Emon, Jakaria Islam, M M Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, and Rupam Kumar Das. "Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Transfer Learning." In Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare, pp. 243-254. CRC Press, 2023. [Cite & Details]
2019
[B6] Se-Jong Kang, Jae-Young Kim, In-Kyu Jeong, Kichang Im, M M Manjurul Islam, Jong-Myon Kim (2020): An improved gas classification technique using new features and support vector machines, Lecture Notes in Intelligent Systems and Computing, Springer, 942, 158-166, 2019. [Cite & Details]
2018
[B5] M M Manjurul Islam, Alexander Prosvirin, Jong-Myon Kim (2018): Intelligent Rub-impact fault diagnosis based on genetic algorithm-based IMF selection in ensemble empirical mode decomposition and diverse features models. Presented In: 19th Intelligent Data Engineering and Automated Learning, IDEAL 2018}, November 2018, Madrid, Spain, Chapter: Lecture Notes in Computer Science, Springer, Vol. 11314, pp147-155, 2019 [Cite & Details]
[B4] Farzin Piltan, M M Manjurul Islam, Jong-Myon Kim (2018): Input-Output Fault Diagnosis in Robot Manipulator Using Fuzzy LMI-tuned PI Feedback Linearization Observer Based on Nonlinear Intelligent ARX Model. Lecture Notes in Electrical Engineering, Springer, 10, 305-315, 2017. [Cite & Details]
[B3] M M Manjurul Islam and Jong-Myon Kim (2018): Motor bearing fault diagnosis using deep convolutional neural networks with 2D analysis of vibration signal. Lecture Notes in Artificial Intelligence, Springer, 10832, 144-155, 2018. [Cite & Details]
2017
[B2] M M Manjurul Islam, MR. Islam, Jong-Myon Kim (2017): A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. Lecture Notes in Artificial Intelligence, Springer,10142, 180-192, 2017. [Cite & Details]
2015
[B1] M M Manjurul Islam, Sheraz A Khan, Jong-Myon Kim (2015): Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy. Lecture Notes in Computer Science, Springer, 9227, 538-550, 2015. (Awarded as Best Paper) [Cite & Details]
Conference and Presentations
2023
[C19] M M Manjurul Islam, C. McAteer and G. Prasad, "Efficient Wafer Defect Patterns Recognition Using Deep Convolutional Neural Network," 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 220-221, doi: 10.1109/CAI54212.2023.00102. [Cite & Details]
2022
[C18] Md Alamgir Kabir, M M Manjurul Islam, SM Hasan Mahmud, and Md Fazla Elahe (2022). "Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization." In Proceedings of the 2nd International Conference on Computing Advancements, pp. 59-66. 2022. [Cite & Details]
2020
[C17] Beirami, H., Davide Calzà, Alessandro Cimatti, M M Manjurul Islam, Roveri, M., & Svaizer, P (2020). A Data-driven Approach for RUL Prediction of an Experimental Filtration System. In PHM Society European Conference (Vol. 5, No. 1). [Cite & Details]
2019
[C16] Kangkan Bhakta, Niloy Sikder, Abdullah Al Nahid, M M Manjurul Islam (2019) : Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-Based Preprocessing. 2nd IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), February 07-09, 2019, Dhaka, Bangladesh. [Cite & Details]
[C15] Niloy Sarker, Kangkan Bhakta, A Al Nahid, M M Manjurul Islam (2019) : Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-Based Preprocessing. 2019 IEEE International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), January 10-12, 2019, Dhaka, Bangladesh. [Cite & Details]
2017
[C14] Md Junayed Hasan, M M Manjurul Islam, Cheol-Hong Kim, Jongmyon Kim (2017) : An Improved Feature Feature Extraction Method using Global Neighborhood Structure Mapping for Textures Under Varying Illumination. The Engineering and Arts Society in Korea - 2017 (EASKO-2017), University of UIsan, Ulsan, South Korea; 12/2017
[C13] M M Manjurul Islam, Prosvirin Alexander, Cheolhong Kim, Jongmyon Kim (2017). Robust Condition Monitoring of Rub-impact Faults in Rotor System Using Empirical Mode Decomposition with IMF Selection. The Engineering and Arts Society in Korea (EASKO), 15, pp. 20-24, Ulsan, South Korea. (Awarded as Best Paper)
[C12] Prosvirin Alexander, M M Manjurul Islam, Cheolhong Kim, Jongmyon Kim (2017). Fault Prediction of Rolling Element Bearings Using One Class Least Squares SVM. The Engineering and Arts Society in Korea (EASKO), 15, pp. 10-14, Ulsan, South Korea. (Awarded as Best Paper)
[C11] Inkyu Jeong, Ramesh Dileep Kumar Appana, M M Manjurul Islam, Cheol-Hong Kim, Jong-Myon Kim (2017): Optimized Mobile Robotic Navigation based on Fuzzy Logic Control. 19th International Conference on Artificial Intelligence, pp. 183-186, Las Vegas, Nevada, USA. [Cite & Details]
[C10] Young-Hun Kim, M M Manjurul Islam, Md. Rashedul Islam, Jong-Myon Kim (2017): Genetic Algorithm Based Discriminant Feature Selection for Improved Fault Diagnosis of Induction Motor. 19-th International Conference on Artificial Intelligence, ICAI'17, pp.21-27, Las Vegas, Nevada, USA. [Cite & Details]
[C9] Sang-Min Lee, M M Manjurul Islam, Jaeyoung Kim, Yu-Hyun Kim, Inkyu Jeong, Jong-Myon Kim (2017): Filter and Wrapper-based Feature Selection Using Mutual Information for Rolling Elements Bearing Diagnosis. 2017 International Conference on Artificial Intelligence ICAI'17, pp. 187-190, Las Vegas, Nevada, USA. [Cite & Details]
[C8] M M Manjurul Islam, Jong-Myon Kim (2017): Reliable Faults Diagnosis of Roller Bearings using Hybrid Feature Models and Improved Multiclass Support Vector Machines with Classifiers Discriminant Analysis. Asia Pacific Conference of the Prognostics and Health Management Society 2017, pp. 214-2014, Ramada Plaza Jeju Hotel, Jeju, South Korea. (Awarded as Best Paper) [Cite & Details]
[C7] M M Manjurul Islam, Wasim Ahmad (2017): Reliable Bearings Fault Diagnosis of Induction Motor Using Envelope Spectrum Analysis and Support Vector Machines. IEEE International Forum on Strategic Technology (IFOST), Ulsan, South Korea.
2016
[C6] Md. Rashedul Islam, M M Manjurul Islam, Jong-Myon Kim (2016): Feature selection techniques for increasing reliability of fault diagnosis of bearings. 9th IEEE Conference on Electrical and Computer Engineering (ICECE), pp. 396-399, Dhaka, Bangladesh. [Cite & Details]
[C5] M M Manjurul Islam, Jong Myon Kim (2016): Fault Detection and Diagnosis for Rolling Element Bearing Using Wavelet Analysis and Support Vector Machine. Korean Society of Engineering Arts Conference, 1; pp:11-14, Ulsan, South Korea. (Awarded as Best Paper)
2007
[C4] Mir Md. Jahangir Kabir, Samir Halder, Md. Robiur Rahman, Md. W. H. Sadid, M M Manjurul Islam (2007), Md. Nazrul Islam Mondal: Performance Measurement of Real Time Object Detection and Recognition. Innovative Applications of Information Technology for the Developing World - 3rd Asian Applied Computing Conference (AACC), Kathmandu, Nepal. [Cite & Details]
2006
[C3] Md Musfequs Salehin, Md Rabiul Islam, M M Manjurul Islam (2006): An Efficient Approach to Develop an Artificial Intelligent Robot Based on Real Time Task Specifications Using Genetic Programming. 9th International Conference on Computer & Information Technology (ICCIT), Dhaka, Bangladesh. [Cite & Details]
[C2] M M Manjurul Islam, Md. Waselul Haque Sadid, S. M. Mamun Ar Rashid, Md. Jahangir Kabir (2006): An Implementation of ACO System for Solving NP-Complete Problem; TSP. IEEE International Conference in Electrical and Computer Engineering, (ICECE). pp. 304-307, Dhaka, Bangladesh. [Cite & Details]
2005
[C1] M M Manjurul Islam, Mir Md. Jahangir Kabir, Md. Robiur Rahman, Boshir Ahmed (2005): Real Time Video and Audio Transmition Across the Network. Innovative Applications of Information Technology for the Developing World - 3rd Asian Applied Computing Conference (AACC), Kathmandu, Nepal. [Cite & Details]