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Md. Maniruzzaman
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2020 – today
- 2024
- [j16]Jungpil Shin
, Masahiro Matsumoto, Md. Maniruzzaman
Classification of Hand-Movement Disabilities in Parkinson's Disease Using a Motion-Capture Device and Machine Learning. IEEE Access 12: 52466-52479 (2024) - [j15]Md. Maniruzzaman
Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks. IEEE Access 12: 82984-82995 (2024) - [j14]Jungpil Shin
Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches. IEEE Access 12: 93791-93801 (2024) - [j13]Md. Al Mehedi Hasan
WGCNA and Machine Learning-Based Integrative Bioinformatics Analysis for Identifying Key Genes of Colorectal Cancer. IEEE Access 12: 144350-144363 (2024) - [i1]Abu Saleh Musa Miah, Najmul Hassan, Md. Maniruzzaman, Nobuyoshi Asai, Jungpil Shin:
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach. CoRR abs/2408.13723 (2024) - 2023
- [j12]Md. Maniruzzaman
Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques. IEEE Access 11: 33570-33583 (2023) - [j11]Jungpil Shin
Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach. IEEE Access 11: 82794-82801 (2023) - [j10]Jungpil Shin
Handwriting-Based ADHD Detection for Children Having ASD Using Machine Learning Approaches. IEEE Access 11: 84974-84984 (2023) - [j9]Ruhul Amin
Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels. IEEE Access 11: 131338-131350 (2023) - [j8]Md. Al Mehedi Hasan
Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3786-3799 (2023) - [c5]Md. Maniruzzaman, Md. Al Mehedi Hasan, Taro Suzuki, Jungpil Shin:
Identification of Children with ADHD from EEG Signals Based on Entropy Measures and Support Vector Machine. EUVIP 2023: 1-6 - [c4]Jungpil Shin
Identifying Users based on their Activity Pattern using Machine Learning. ICECC 2023: 29-35 - 2022
- [c3]Jungpil Shin, Md. Al Mehedi Hasan, Md. Maniruzzaman
Hand Gesture Authentication Using Optimal Feature Selection and Dynamic Time Warping based K-nearest Neighbor. ICECC 2022: 22-26 - 2021
- [j7]Sadiq Hussain
Regression analysis of student academic performance using deep learning. Educ. Inf. Technol. 26(1): 783-798 (2021) - [c2]Rayhan Habib Jibon
Investigation of EEG Signals for Emotion Recognition of People for Brain-Computer Interface. ICCCNT 2021: 1-6 - 2020
- [j6]Md. Maniruzzaman
Classification and prediction of diabetes disease using machine learning paradigm. Health Inf. Sci. Syst. 8(1): 7 (2020)
2010 – 2019
- 2019
- [j5]Elisa Cuadrado Godia
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108: 182-195 (2019) - [j4]Md. Maniruzzaman
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. Comput. Methods Programs Biomed. 176: 173-193 (2019) - 2018
- [j3]Elisa Cuadrado Godia
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Comput. Biol. Medicine 101: 128-145 (2018) - [j2]Md. Maniruzzaman
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. J. Medical Syst. 42(5): 92:1-92:17 (2018) - 2017
- [j1]Md. Maniruzzaman
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm. Comput. Methods Programs Biomed. 152: 23-34 (2017) - 2010
- [c1]Harichandan Roy, Shuvo Kumar De, Md. Maniruzzaman, Ashikur Rahman
Fault-Tolerant Power-Aware Topology Control for Ad-Hoc Wireless Networks. Networking 2010: 303-314
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