Inv-AlxVGGNets: Cervical Spine Disease Classification Using Concatenated Involutional Neural Networks With Residual Net von Abuhayi, Biniyam Mulugeta, Agegnehu Bezabh, Yohannes, Melese Ayalew, Aleka

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Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform von Mulugeta Abuhayi, Biniyam, Agegnehu Bezabh, Yohannes, Melese Ayalew, Aleka, Alemayehu Lakew, Miraf

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CPD-CCNN: classification of pepper disease using a concatenation of convolutional neural network models von Bezabh, Yohannes Agegnehu, Salau, Ayodeji Olalekan, Abuhayi, Biniyam Mulugeta, Mussa, Abdela Ahmed, Ayalew, Aleka Melese

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Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms von Tamyalew, Yibeltal, Salau, Ayodeji Olalekan, Ayalew, Aleka Melese

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Lumbar disease classification using an Involutional neural based VGG Nets (INVGG) von Abuhayi, Biniyam Mulugeta, Bezabh, Yohannes Agegnehu, Ayalew, Aleka Melese

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Author Correction: CPD‑CCNN: classification of pepper disease using a concatenation of convolutional neural network models von Bezabh, Yohannes Agegnehu, Salau, Ayodeji Olalekan, Abuhayi, Biniyam Mulugeta, Mussa, Abdela Ahmed, Ayalew, Aleka Melese

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Prediction of mung bean production using machine learning algorithms von Mequanenit, Azanu Mirolgn, Ayalew, Aleka Melese, Salau, Ayodeji Olalekan, Nibret, Eyerusalem Alebachew, Meshesha, Million

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Classification of pumpkin disease by using a hybrid approach von Bezabh, Yohannes Agegnehu, Abuhayi, Biniyam Mulugeta, Ayalew, Aleka Melese, Asegie, Habtamu Ayenew

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Atelectasis detection in chest X-ray images using convolutional neural networks and transfer learning with anisotropic diffusion filter von Ayalew, Aleka Melese, Bezabh, Yohannes Agegnehu, Abuhayi, Biniyam Mulugeta, Ayalew, Asemrie Yemata

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Classification of mango disease using ensemble convolutional neural network von Bezabh, Yohannes Agegnehu, Ayalew, Aleka Melese, Abuhayi, Biniyam Mulugeta, Demlie, Tensay Nigussie, Awoke, Eshete Ayenew, Mengistu, Taye Endeshaw

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Early-stage cardiomegaly detection and classification from X-ray images using convolutional neural networks and transfer learning von Ayalew, Aleka Melese, Enyew, Belay, Bezabh, Yohannes Agegnehu, Abuhayi, Biniyam Mulugeta, Negashe, Girma Sisay

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Sesame Disease Detection Using a Deep Convolutional Neural Network von Tadele, Abeje Bekalu, Olalekan, Salau Ayodeji, Melese, Ayalew Aleka, Gebremariam, Tadesse Esayas

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Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients von Ayalew, Aleka Melese, Salau, Ayodeji Olalekan, Abeje, Bekalu Tadele, Enyew, Belay

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X-Ray image-based COVID-19 detection using deep learning von Ayalew, Aleka Melese, Salau, Ayodeji Olalekan, Tamyalew, Yibeltal, Abeje, Bekalu Tadele, Woreta, Nigus

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X-ray image-based pneumonia detection and classification using deep learning von Asnake, Nigus Wereta, Salau, Ayodeji Olalekan, Ayalew, Aleka Melese

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Classification of cervical spine disease using convolutional neural network von Bezabh, Yohannes Agegnehu, Salau, Ayodeji Olalekan, Abuhayi, Biniyam Mulugeta, Ayalew, Aleka Melese

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Smart Malaria Classification: A Novel Machine Learning Algorithms for Early Malaria Monitoring and Detecting Using IoT-Based Healthcare Environment von Ayalew, Aleka Melese, Admass, Wasyihun Sema, Abuhayi, Biniyam Mulugeta, Negashe, Girma Sisay, Bezabh, Yohannes Agegnehu

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