Md. Maniruzzaman

According to our database, Md. Maniruzzaman authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach.

Abu Saleh Musa Miah, Najmul Hassan, Md. Maniruzzaman, Nobuyoshi Asai, Jungpil Shin

CoRR, 2024

Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches.

Jungpil Shin, Yuta Uchida, Md. Maniruzzaman, Koki Hirooka, Akiko Megumi, Akira Yasumura

IEEE Access, 2024

Classification of Hand-Movement Disabilities in Parkinson's Disease Using a Motion-Capture Device and Machine Learning.

Jungpil Shin, Masahiro Matsumoto, Md. Maniruzzaman, Md. Al Mehedi Hasan, Koki Hirooka, Yuki Hagihara, Naoki Kotsuki, Satomi Inomata-Terada, Yasuo Terao, Shunsuke Kobayashi

IEEE Access, 2024

Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks.

Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, Md. Al Mehedi Hasan, Yong Seok Hwang, Akiko Megumi, Akira Yasumura, Jungpil Shin

IEEE Access, 2024

WGCNA and Machine Learning-Based Integrative Bioinformatics Analysis for Identifying Key Genes of Colorectal Cancer.

Md. Al Mehedi Hasan, Md. Maniruzzaman, Jungpil Shin

IEEE Access, 2024

2023

Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models.

Md. Al Mehedi Hasan, Md. Maniruzzaman, Jungpil Shin

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Handwriting-Based ADHD Detection for Children Having ASD Using Machine Learning Approaches.

Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akira Yasumura

IEEE Access, 2023

Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach.

Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Md. Al Mehedi Hasan, Koki Hirooka, Akiko Megumi, Akira Yasumura

IEEE Access, 2023

Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques.

Md. Maniruzzaman, Md. Al Mehedi Hasan, Nobuyoshi Asai, Jungpil Shin

IEEE Access, 2023

Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels.

Ruhul Amin, Md. Shamim Reza, Md. Maniruzzaman, Md. Al Mehedi Hasan, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

IEEE Access, 2023

Identifying Users based on their Activity Pattern using Machine Learning.

Jungpil Shin, Md. Al Mehedi Hasan, Md. Maniruzzaman

Proceedings of the 6th International Conference on Electronics, 2023

Identification of Children with ADHD from EEG Signals Based on Entropy Measures and Support Vector Machine.

Md. Maniruzzaman, Md. Al Mehedi Hasan, Taro Suzuki, Jungpil Shin

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022

Hand Gesture Authentication Using Optimal Feature Selection and Dynamic Time Warping based K-nearest Neighbor.

Jungpil Shin, Md. Al Mehedi Hasan, Md. Maniruzzaman

Proceedings of the ICECC 2022: The 5th International Conference on Electronics, Communications and Control Engineering, Higashi-ku, Japan, March 25, 2022

2021

Regression analysis of student academic performance using deep learning.

Sadiq Hussain, Silvia Gaftandzhieva, Md. Maniruzzaman, Rositsa Doneva, Zahraa Fadhil Muhsin

Educ. Inf. Technol., 2021

Investigation of EEG Signals for Emotion Recognition of People for Brain-Computer Interface.

Rayhan Habib Jibon, Md. Maniruzzaman

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020

Classification and prediction of diabetes disease using machine learning paradigm.

Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin

Health Inf. Sci. Syst., 2020

2019

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin, Harman S. Suri, Mainak Biswas, Ayman El-Baz, Petros Bangeas, Georgios Tsoulfas, Jasjit S. Suri

Comput. Methods Programs Biomed., 2019

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.

Elisa Cuadrado Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Tadashi Araki, Md. Maniruzzaman, Luca Saba, Andrew Nicolaides, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri

Comput. Biol. Medicine, 2019

2018

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El-Baz, Jasjit S. Suri

J. Medical Syst., 2018

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.

Elisa Cuadrado Godia, Md. Maniruzzaman, Tadashi Araki, Anudeep Puvvula, Md. Jahanur Rahman, Luca Saba, Harman S. Suri, Ajay Gupta, Sumit K. Banchhor, Jagjit S. Teji, Tomaz Omerzu, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Sophie Mavrogeni, George D. Kitas, Jasjit S. Suri

Comput. Biol. Medicine, 2018

2017

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam, Harman S. Suri, Ayman S. El-Baz, Jasjit S. Suri

Comput. Methods Programs Biomed., 2017

2010

Fault-Tolerant Power-Aware Topology Control for Ad-Hoc Wireless Networks.

Harichandan Roy, Shuvo Kumar De, Md. Maniruzzaman, Ashikur Rahman

Proceedings of the NETWORKING 2010, 2010