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  • 👋 Hi, I’m @elcinibisoglu
  • 👩‍💻 I'm working as a system software engineer and component responsible at MAN Truck and Bus, in Turkey.
  • 🚍 I am responsible for the instrument cluster in the Powertrain Team. Also, I worked as both a software integration engineer and a software developer such as door, ramp, and lift systems in the Bus Body Team.
  • 👩‍🎓 I received my bachelor's degree in Electrical and Electronics Engineering from the University of TED, in 2019. Currently, I am an MSc student at Istanbul Technical University (ITU).
  • 👀 My research interests are deep learning, machine learning, and autonomous vehicles.
  • 📫 Reach me via email: [email protected]

Elçin İbişoğlu's Projects

deep_learning_explorations icon deep_learning_explorations

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

key-facial-points-detection-with-image-processing-techniques icon key-facial-points-detection-with-image-processing-techniques

Key Facial Points [1] dataset is used to detect key points on faces. A CNN algorithm is created for this project. Train and validation losses are obtained and RMSE evaluation metric is utilized. The results show that the smallest RMSE is obtained with the predictions of the points on eyes. The largest RMSE is observed in the case of the mouth.

the-x-ray-image-classification icon the-x-ray-image-classification

In this study, a dataset that covers X-ray chest images from patients is used to classify chest images as Normal, Pnemonia and Covid-19. By the aim of classification, two approaches are used as ResNet18 and a CNN (Convolutional Neural Network) model which is created by us for this project.

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