Bilgisayar Mühendisliği Bölümünden Tübitak-1002 Projesi
Our Faculty's Computer Engineering Department faculty member Assoc. Prof. Dr. Çiğdem İnan ACI (Principal Investigator) and Research Assistant Gizen MUTLU KORUCU (Scholarship Holder) have been awarded funding from the TÜBİTAK-1002 program for their project titled "Development of High-Performance Machine Learning and Deep Learning Models Using Bipolar Distance Metric" .
The project aims to use the bipolar metric, a mathematical method, to optimize the declining accuracy rates and memory usage of Machine Learning and Deep Learning-based algorithms as data volume increases, thereby improving accuracy rates without the need for intensive data preprocessing, optimizing memory usage, and obtaining more flexible models.
2024-06-11 15:30:30
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