Researchers at the Faculty of Electrical and Computer Engineering, College of Engineering, University of Tehran, using artificial intelligence, have presented a method for more accurate identification of the location of insulation faults in power generator windings and estimation of their severity—a method that can help with early detection of damage and prevent costly failures in power generation equipment.
Read More
Researchers at the University of Tehran have developed a new framework based on federated learning, offering a solution to enhance the security and stability of artificial intelligence systems in brain MRI image analysis. The method enables collaboration among multiple centers in training AI models without transferring patients’ raw data, while simultaneously identifying suspicious and malicious information sent by participating centers and reducing its impact.
Read More
Researchers at the University of Tehran have significantly improved the accuracy of water quality simulation in a deep, stratified reservoir.
Read More
University of Tehran Researchers Present a Practical Method for Estimating Rock Mass Strength and Representative Element Volume at Real-World Scales
Read More
