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Md Nahiduzzaman

Showing results (21-30 of 31) with videos related to

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Frontiers in Plant Science|October 5, 2023
Explainable deep learning model for automatic mulberry leaf disease classificationMd Nahiduzzaman, Muhammad E H Chowdhury, Abdus Salam, et al.
Scientific Reports|February 22, 2025
Improving Malaria diagnosis through interpretable customized CNNs architecturesMd Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, et al.
Scientific Data|March 11, 2025
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and ReviewAmith Khandakar, David G Michelson, Mansura Naznine, et al.
Scientific Reports|March 12, 2025
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Genes|January 8, 2020
Population Genomics of an Anadromous Hilsa Shad <i>Tenualosa ilisha</i> Species across Its Diverse Migratory Habitats: Discrimination by Fine-Scale Local AdaptationMd Asaduzzaman, Yoji Igarashi, Md Abdul Wahab, et al.
Sensors (Basel, Switzerland)|September 28, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation TechniquesMd Faysal Ahamed, Md Khalid Syfullah, Ovi Sarkar, et al.
Expert Systems with Applications|June 5, 2023
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19Md Nahiduzzaman, Md Omaer Faruq Goni, Rakibul Hassan, et al.
Scientific Reports|January 10, 2025
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Sensors (Basel, Switzerland)|May 13, 2023
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer LearningAbida Sultana, Md Nahiduzzaman, Sagor Chandro Bakchy, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography ImagesMuntakim Mahmud Khan, Muhammad E H Chowdhury, A S M Shamsul Arefin, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Frontiers in Plant Science|October 5, 2023
Explainable deep learning model for automatic mulberry leaf disease classificationMd Nahiduzzaman, Muhammad E H Chowdhury, Abdus Salam, et al.
Scientific Reports|February 22, 2025
Improving Malaria diagnosis through interpretable customized CNNs architecturesMd Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, et al.
Scientific Data|March 11, 2025
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and ReviewAmith Khandakar, David G Michelson, Mansura Naznine, et al.
Scientific Reports|March 12, 2025
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Genes|January 8, 2020
Population Genomics of an Anadromous Hilsa Shad <i>Tenualosa ilisha</i> Species across Its Diverse Migratory Habitats: Discrimination by Fine-Scale Local AdaptationMd Asaduzzaman, Yoji Igarashi, Md Abdul Wahab, et al.
Sensors (Basel, Switzerland)|September 28, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation TechniquesMd Faysal Ahamed, Md Khalid Syfullah, Ovi Sarkar, et al.
Expert Systems with Applications|June 5, 2023
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19Md Nahiduzzaman, Md Omaer Faruq Goni, Rakibul Hassan, et al.
Scientific Reports|January 10, 2025
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Sensors (Basel, Switzerland)|May 13, 2023
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer LearningAbida Sultana, Md Nahiduzzaman, Sagor Chandro Bakchy, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography ImagesMuntakim Mahmud Khan, Muhammad E H Chowdhury, A S M Shamsul Arefin, et al.
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