Master’s Thesis Defense on Detecting DDoS Attacks Using Enhanced XGBoost
“Proposed Framework for DDoS Attack Detection Using Enhanced XGBoost” was discussed on Sunday, August 31, 2025, at the postgraduate hall ... اقرأ أكثر
Innovative Smart Technology for ECG Classification Published Internationally
A joint scientific research team has successfully developed an advanced technique for accurately analyzing and classifying electrocardiogram (ECG) signals using ... اقرأ أكثر
An innovative new technology to protect users from spam email has been deployed globally
A collaborative scientific research team has developed an innovative technique to detect and block intrusions delivered through unwanted email messages ... اقرأ أكثر
A Campaign to Support Children with Thalassemia
Under the patronage of the esteemed President of Al-Qadisiyah University, Professor Dr. Kazem Jabbar Al-Jubouri, and under the supervision of ... اقرأ أكثر
A Technique for Classifying Fundus Diseases Using Machine Learning and Deep Learning – Master’s Thesis – College of Computer Science and Information Technology, University of Al-Qadisiyah
Master’s student Walaa Abdul-Latif defended her thesis titled “A Technique for Classifying Fundus Diseases Using Machine Learning and Deep Learning”, ... اقرأ أكثر
An Iraqi Scientist Delivers a Valuable Scientific Lecture at the College of Computer Science and Information Technology, Al-Qadisiyah University
Under the patronage of the President of Al-Qadisiyah University, Professor Dr. Kazem Jabbar Al-Jubouri, and the supervision of Assistant Professor ... اقرأ أكثر