The College of Information Technology at the University of Nineveh has further strengthened its international research standing by publishing a scientific paper in the International Journal of Intelligent Engineering and Systems, indexed in the Scopus database, in its second quarter (Q2).
This achievement is the result of a scientific collaboration between researchers from the College of Information Technology at the University of Nineveh and the Northern Technical University, through a research paper titled: “Edge-intelligent Distributed Framework for Brain Tumor Classification Using Hybrid TSK-convolutional Neural Architecture.”
The research focuses on developing an intelligent, distributed framework based on magnetic resonance imaging (MRI) images for the diagnosis and classification of brain tumors. This framework integrates deep learning techniques with distributed computing, providing accurate, rapid, and applicable medical solutions in modern healthcare settings.
The work focuses on combining artificial intelligence with distributed systems. The team relied on an edge computing architecture that performs analyses on low-cost devices such as the Raspberry Pi and connects them to central servers via a smart communication network. This architecture achieved a classification accuracy of 97% while significantly reducing response time.
The research also employed a hybrid algorithm combining convolutional neural networks (CNNs) and fuzzy logic (TSK) to enhance diagnostic accuracy and improve the interpretability of results, a step towards building more reliable and transparent medical AI systems. The model is remarkably lightweight, with a size of only 1.4 MB, making it ideal for resource-constrained devices and edge-computing smart healthcare systems.
The research team included:
- Dr. Balqis Talal Hassan Agha – Department of Artificial Intelligence, College of Information Technology
- Dr. Ali Mohsen Ahmed Al-Sabawi – Head of the Software Department, College of Information Technology
- Dr. Hisham Hashim Mohammed – Assistant Dean for Scientific Affairs and Graduate Studies, Agricultural Technical College, Northern Technical University.
- Dr. Zaid Jassim Al-Araji – Department of Computer Networks and the Internet, College of Information Technology.
This achievement is a significant addition to the College of Information Technology’s record and a major step forward in the field of smart medical systems based on artificial intelligence and distributed computing. It also serves as a distinguished model of scientific collaboration between academic institutions in leading computer science disciplines.
Link to the research in Scopus:
https://www.scopus.com/pages/publications/105033659607?origin=resultslist