Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks
Taresh, Mundher Mohammed, Zhu, Ningbo, Ali, Talal Ahmed Ali, Hameed, Asaad Shakir, Mutar, Modhi Lafta
Published in International journal of biomedical imaging (15.05.2021)
Published in International journal of biomedical imaging (15.05.2021)
Get full text
Journal Article
Optimal wideband digital fractional-order differentiators using gradient based optimizer
Moqbel, Mohammed Ali Mohammed, Ali, Talal Ahmed Ali, Xiao, Zhu
Published in PeerJ. Computer science (14.10.2024)
Published in PeerJ. Computer science (14.10.2024)
Get full text
Journal Article
KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN
Taresh, Mundher Mohammed, Zhu, Ningbo, Ali, Talal Ahmed Ali, Alghaili, Mohammed, Hameed, Asaad Shakir, Mutar, Modhi Lafta
Published in PeerJ. Computer science (20.09.2021)
Published in PeerJ. Computer science (20.09.2021)
Get full text
Journal Article
Fe3O4 supported [Cu(ii)(met)(pro-H)2] complex as a novel nanomagnetic catalytic system for room temperature C–O coupling reactions
Ahmed, Talal Ali, Guda, Muthik A, Oraibi, Amjad I, Salih, Issam K, Shather, A H, Abbas Talib Abd Ali, Azzawi, Ahmed L, Haider Abdulkareem Almashhadani
Published in RSC advances (25.07.2023)
Published in RSC advances (25.07.2023)
Get full text
Journal Article
Enhancing DDoS Attack Detection and Mitigation in SDN Using an Ensemble Online Machine Learning Model
Alashhab, Abdussalam Ahmed, Zahid, Mohd Soperi, Isyaku, Babangida, Elnour, Asma Abbas, Nagmeldin, Wamda, Abdelmaboud, Abdelzahir, Abdullah, Talal Ali Ahmed, Maiwada, Umar Danjuma
Published in IEEE access (2024)
Published in IEEE access (2024)
Get full text
Journal Article
Using a novel fractional-order gradient method for CNN back-propagation
Taresh, Mundher Mohammed, Zhu, Ningbo, Ali, Talal Ahmed Ali, Alghaili, Mohammed, Guo, Weihua
Year of Publication 01.05.2022
Year of Publication 01.05.2022
Get full text
Journal Article