Md. Maniruzzaman

University of Aizu

Japan

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Articles (11)

Identifying Users based on their Activity Pattern using Machine Learning

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Year:

2023

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques

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Year:

2023

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

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Year:

2023

2D Camera-Based Air-Writing Recognition Using Hand Pose Estimation and Hybrid Deep Learning Model

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Year:

2023

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

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Year:

2023

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

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Year:

2023

Optimal Channels and Features Selection based ADHD Detection from EEG Signal using Statistical and Machine Learning Techniques

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Year:

2023

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

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Year:

2023

Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh

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Year:

2022

Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine

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Year:

2022

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

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Year:

2022

Collaborators (1)

Md. Al Mehedi Hasan

Assistant Professor

Hokkaido University

JAPAN

Md. Maniruzzaman

Research Interests

Explore related searches

Contact this professor

Articles (11)

Identifying Users based on their Activity Pattern using Machine Learning

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

2D Camera-Based Air-Writing Recognition Using Hand Pose Estimation and Hybrid Deep Learning Model

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

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

Optimal Channels and Features Selection based ADHD Detection from EEG Signal using Statistical and Machine Learning Techniques

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

Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh

Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models

Collaborators (1)

Md. Al Mehedi Hasan

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