Md. Maniruzzaman

Orcid: 0000-0001-6151-8071

According to our database1, Md. Maniruzzaman authored at least 18 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Classification of Hand-Movement Disabilities in Parkinson's Disease Using a Motion-Capture Device and Machine Learning.
IEEE Access, 2024

2023
Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Handwriting-Based ADHD Detection for Children Having ASD Using Machine Learning Approaches.
IEEE Access, 2023

Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach.
IEEE Access, 2023

Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques.
IEEE Access, 2023

Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels.
IEEE Access, 2023

Identifying Users based on their Activity Pattern using Machine Learning.
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.
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.
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.
Educ. Inf. Technol., 2021

Investigation of EEG Signals for Emotion Recognition of People for Brain-Computer Interface.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
Classification and prediction of diabetes disease using machine learning paradigm.
Health Inf. Sci. Syst., 2020

2019
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Comput. Methods Programs Biomed., 2019

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
Comput. Biol. Medicine, 2019

2018
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.
J. Medical Syst., 2018

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.
Comput. Biol. Medicine, 2018

2017
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.
Comput. Methods Programs Biomed., 2017

2010
Fault-Tolerant Power-Aware Topology Control for Ad-Hoc Wireless Networks.
Proceedings of the NETWORKING 2010, 2010


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