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Refinado por: autor: Uddin, Ashraf eliminar materia: Deep Learning eliminar colección: IngentaConnect Journals eliminar
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A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach
A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach
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A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach

Halder, Rajib Kumar ; Uddin, Mohammed Nasir ; Uddin, Md Ashraf ; Aryal, Sunil ; Islam, Md Aminul ; Hossain, Fahima ; Jahan, Nusrat ; Khraisat, Ansam ; Alazab, Ammar

Genes, 2023-02, Vol.14 (3), p.582 [Revista revisada por pares]

Switzerland: MDPI AG

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2
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
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Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach

Ghose, Partho ; Alavi, Muhaddid ; Tabassum, Mehnaz ; Ashraf Uddin, Md ; Biswas, Milon ; Mahbub, Kawsher ; Gaur, Loveleen ; Mallik, Saurav ; Zhao, Zhongming

Frontiers in genetics, 2022-09, Vol.13, p.980338-980338 [Revista revisada por pares]

Frontiers Media S.A

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3
DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images
DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images
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DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images

Ahamed, Md Khabir Uddin ; Islam, Md Manowarul ; Uddin, Md Ashraf ; Akhter, Arnisha ; Acharjee, Uzzal Kumar ; Paul, Bikash Kumar ; Moni, Mohammad Ali

Diagnostics (Basel), 2023-02, Vol.13 (3), p.551 [Revista revisada por pares]

Switzerland: MDPI AG

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