M. M. Manjurul Islam

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Multitask Learning

Fault Diagnosis

Top Venues

Reliab. Eng. Syst. Saf.

Canadian Conference on AI

Publications

M. M. Manjurul Islam, Jong-Myon Kim
Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. J. Ambient Intell. Humaniz. Comput. 15 (2) (2024)
Md. Alamgir Kabir, Atiq ur Rehman, M. M. Manjurul Islam, Nazakat Ali, Marcia Lourenco Baptista
Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting. Symmetry 15 (10) (2023)
Md Junayed Hasan, M. M. Manjurul Islam, Jong-Myon Kim
Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. Sensors 22 (1) (2022)
Md. Alamgir Kabir, M. M. Manjurul Islam, S. M. Hasan Mahmud, Md Fazla Elahe
Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization. ICCA (2022)
M. M. Manjurul Islam, Jong-Myon Kim
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines. Reliab. Eng. Syst. Saf. 184 (2019)
M. M. Manjurul Islam, Jong-Myon Kim
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. Comput. Ind. 106 (2019)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jong-Myon Kim
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. IEEE Access 7 (2019)
M. M. Manjurul Islam, Jong-Myon Kim
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network. Sensors 19 (19) (2019)
Wasim Ahmad, Sheraz Ali Khan, M. M. Manjurul Islam, Jong-Myon Kim
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. Reliab. Eng. Syst. Saf. 184 (2019)
M. M. Manjurul Islam, Alexander E. Prosvirin, Jong-Myon Kim
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. IDEAL (1) (2018)
M. M. Manjurul Islam, Muhammad Sohaib, Jaeyoung Kim, Jong-Myon Kim
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. Sensors 18 (12) (2018)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jaeyoung Kim, Jong-Myon Kim
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors 18 (7) (2018)
M. M. Manjurul Islam, Jong-Myon Kim
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal. Canadian Conference on AI (2018)
Se-Jong Kang, Jae-Young Kim, In-Kyu Jeong, M. M. Manjurul Islam, Kichang Im, Jong-Myon Kim
An Improved Gas Classification Technique Using New Features and Support Vector Machines. SoCPaR (2018)
M. M. Manjurul Islam, Md. Rashedul Islam, Jong-Myon Kim
A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. ACALCI (2017)
M. M. Manjurul Islam, Sheraz A. Khan, Jong-Myon Kim
Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy. ICIC (3) (2015)