{"id":27410,"date":"2025-05-31T18:36:44","date_gmt":"2025-05-31T15:36:44","guid":{"rendered":"https:\/\/uoninevah.edu.iq\/ee\/?p=27410"},"modified":"2025-05-31T18:36:45","modified_gmt":"2025-05-31T15:36:45","slug":"masters-thesis-at-the-university-of-nineveh-explores-machine-learning-for-diagnosing-covid-19-lung-diseases","status":"publish","type":"post","link":"https:\/\/uoninevah.edu.iq\/ee\/en\/2025\/05\/31\/masters-thesis-at-the-university-of-nineveh-explores-machine-learning-for-diagnosing-covid-19-lung-diseases\/","title":{"rendered":"Master\u2019s Thesis at the University of Nineveh Explores Machine Learning for Diagnosing COVID-19 Lung Diseases"},"content":{"rendered":"\n<p>On Thursday, May 15, 2025, a master\u2019s thesis titled \u201cCoronavirus Lung Disease Recognition Using Machine Learning Techniques\u201d was defended at the University of Nineveh, College of Electronic Engineering, Department of Electronics Engineering, by student Raghad Waleed Mohammed.<\/p>\n\n\n\n<p>The thesis investigated the use of machine learning techniques (deep learning algorithms and Raspberry Pi) to diagnose COVID-19-induced pulmonary obstruction, aiming to provide an early detection tool for severe pneumonia using chest X-ray images. This research offers a cost-effective diagnostic solution for healthcare support systems.<\/p>\n\n\n\n<p>Thesis Committee Members:<\/p>\n\n\n\n<p>Prof. Dr. Shifa Abdulrahman Dawood \u2013 University of Mosul, College of Engineering (Chair)<br>Assist. Prof. Dr. Sahar Lazim Qadouri \u2013 University of Nineveh, College of Electronic Engineering (Member)<br>Dr. Azhar Sabah Abdulaziz \u2013 University of Nineveh, College of Information Technology (Member)<br>Prof. Dr. Khaled Khalil Mohammed \u2013 University of Nineveh, College of Electronic Engineering (Member &amp; Supervisor)<br>**Assist. Prof. Dr. Omar Ibrahim Ahmed **\u2013 Northern Technical University, College of Engineering for Computer Science and Artificial Intelligence (Member &amp; Supervisor)<br>We extend our congratulations to the researcher and the committee, wishing them continued success and&nbsp;achievement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On Thursday, May 15, 2025, a master\u2019s thesis titled \u201cCoronavirus Lung Disease Recognition Using Machine Learning Techniques\u201d was defended at the University of Nineveh, College of Electronic Engineering, Department of [&hellip;]<\/p>\n","protected":false},"author":49,"featured_media":27404,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,711,709],"tags":[],"class_list":["post-27410","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-activities","category-community-service","category-continuing-education"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Master\u2019s Thesis at the University of Nineveh Explores Machine Learning for Diagnosing COVID-19 Lung Diseases - \u0643\u0644\u064a\u0629 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0627\u0644\u0643\u062a\u0631\u0648\u0646\u064a\u0627\u062a<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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