Elif Meşeci's Projects
This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art methods.
This repo covers the application of transfer learning methods using pre-trained networks.
Link prediction in complex networks on PDC World Championship Dataset
Code for the online course "Deployment of Machine Learning Models"
Faster R-CNN with Tensorflow API for Custom Dataset.
Step by step installation on Anaconda Prompt
Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
Functions, Loops, Calculations...
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.