Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy. - M. M. Manjurul Islam; Sheraz A. Khan; Jong-Myon Kim (ICIC (3), 2015)

A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. - M. M. Manjurul Islam; Md. Rashedul Islam; Jong-Myon Kim (ACALCI, 2017)

Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal. - M. M. Manjurul Islam; Jong-Myon Kim (Canadian AI, 2018)

Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. - M. M. Manjurul Islam; Alexander E. Prosvirin; Jong-Myon Kim (IDEAL (1), 2018)

An Improved Gas Classification Technique Using New Features and Support Vector Machines. - Se-Jong Kang; Jae-Young Kim; In-Kyu Jeong; M. M. Manjurul Islam; Kichang Im; Jong-Myon Kim (SoCPaR, 2018)

Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. - M. M. Manjurul Islam; Muhammad Sohaib; Jaeyoung Kim; Jong-Myon Kim (Sensors, 2018)

Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. - Alexander E. Prosvirin; M. M. Manjurul Islam; Jaeyoung Kim; Jong-Myon Kim (Sensors, 2018)

An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. - Alexander E. Prosvirin; M. M. Manjurul Islam; Jong-Myon Kim (IEEE Access, 2019)

Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. - M. M. Manjurul Islam; Jong-Myon Kim (Comput. Ind., 2019)

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. - Wasim Ahmad; Sheraz Ali Khan; M. M. Manjurul Islam; Jong-Myon Kim (Reliab. Eng. Syst. Saf., 2019)

Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines. - M. M. Manjurul Islam; Jong-Myon Kim (Reliab. Eng. Syst. Saf., 2019)

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network. - M. M. Manjurul Islam; Jong-Myon Kim (Sensors, 2019)

Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization. - Md. Alamgir Kabir; M. M. Manjurul Islam; S. M. Hasan Mahmud; Md. Fazla Elahe (ICCA, 2022)

Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. - Md Junayed Hasan; M. M. Manjurul Islam; Jong-Myon Kim (Sensors, 2022)

Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting. - Md. Alamgir Kabir; Atiq ur Rehman 002; M. M. Manjurul Islam; Nazakat Ali; Marcia Lourenco Baptista (Symmetry, 2023)

Enhancing Speech Emotion Recognition Using Deep Convolutional Neural Networks. - M. M. Manjurul Islam; Md. Alamgir Kabir; Alamin Sheikh; Muhammad Saiduzzaman; Abdelakram Hafid; Saad Abdullah (ICMLT, 2024)

Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. - M. M. Manjurul Islam; Jong-Myon Kim (J. Ambient Intell. Humaniz. Comput., 2024)

Developing comprehensive hypertension ontology: Addressing data integration gaps to improve healthcare results. - Fariya Sultana Prity; Mohammad Mahmudul Hasan; Nafiz Fahad; Michael Kah Ong Goh; Md. Jakir Hossen; M. M. Manjurul Islam (Health Informatics J., 2025)