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Results for “"Emama Nahid"”

3 results

Explainable deep learning model for automatic mulberry leaf disease classification

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Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid et al.

Journal: Frontiers in Plant ScienceYear: 2023Citations: 65

Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world's raw silk. Manual leaf disease identification is tedious and error-prone. Computer vision can categorize leaf di...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application

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Abdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid et al.

Journal: IEEE AccessYear: 2024Citations: 29

Mulberry leaves serve as the primary food source for Bombyx mori silkworms, crucial for silk thread production. However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identification across large farms is arduous and time-consuming...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Comparative Analysis of Machine Learning Algorithms for Transmission Line Fault Detection

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Oishi Jyoti, Md. Munawar Hossain, Emama Nahid, Md. Abu Ismail Siddique

Year: 2023Citations: 6

Unforeseen failures in the electrical power transmission line may arise due to various unpredictable factors. The occurrence of power failures on transmission lines has the potential to cause significant damage to the existing power grid unless prompt detection and correction of faults are carried o...

Physical SciencesEngineeringControl and Systems Engineering
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