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Md. Mafiul Hasan Matin

Observed names: Matin, Mafiul Hasan, Md. Mafiul Hasan Matin
ORCID: 0009-0002-9145-9927
Observed ORCID: 0009-0002-9145-9927
OpenAlex ID: A5090117363
An Efficient Disease Detection Technique of Rice Leaf Using AlexNet
2020 · Md. Mafiul Hasan Matin, Amina Khatun, et al. · Journal of Computer and Communications · 82
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A Dataset for Accurately Identifying Eggplant Diseases
2023 · Md. Mafiul Hasan Matin, Mst. Arifa Anjum Ava, et al. · SSRN Electronic Journal · 5
An extensive visual data for reliable identification of medicinal plant leaves
2025 · Md. Mafiul Hasan Matin, Md. Sefatullah, et al. · Data in Brief · 1
Data Prediction Model Using Combination of Clustering and Fuzzy Technique
2020 · Md. Mafiul Hasan Matin, Tanzim Kabir, et al. · Journal of Computer and Communications · 1
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FireGuard-YOLOv11: Efficient Deep Vision Architecture for Early Indoor Fire Hazard Detection
2026 · Akash Roy, Shahnaj Parvin, et al. · International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII)
Tomato Leaf and Fruit Disease Image Dataset
2026 · Sheikh, Foysal, Bakii, Md Abdul, et al. · Mendeley Data
Frangipani, hibiscus, marigold, and rose leaf imageimagemagei dataset for plant species identification
2026 · Md. Mafiul Hasan Matin, Md. Sefatullah · Data in Brief
An open-access fire detection image dataset for research in computer vision and safety monitoring
2026 · Md. Mafiul Hasan Matin, Snigdha Saha, et al. · Data in Brief
Papaya Leaf Disease Dataset
2026 · Pria, Mosa Nadia Sultana, Bakki, MD Abdul, et al. · Mendeley Data
Tomato Leaf and Fruit Disease Image Dataset
2026 · Sheikh, Foysal, Bakii, Md Abdul, et al. · Mendeley Data
Rice Disease Image Dataset
2026 · Raki, Nishat Sultana, Bakki, Md. Abdul, et al. · Mendeley Data
Guava Leaf and Fruit Disease
2026 · Bakki, Md Abdul, Raki, Nishat Sultana, et al. · Mendeley Data
A Comprehensive Dataset for Accurate Identification of Medicinal Plant Leaves
2023 · Md. Mafiul Hasan Matin, Md. Sefatullah Sefatullah, et al. · SSRN Electronic Journal
Works count: 13
Citation count: 89
H-index: 2
I10-index: 1
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