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Visea Innovative
- Sakarya
- https://www.linkedin.com/in/beytullah-yayla-9a9176206/
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Drivable-Area-Segmentation-Using-Transformer-and-Unet-Architectures
Drivable-Area-Segmentation-Using-Transformer-and-Unet-Architectures PublicThe repository focuses on leveraging state-of-the-art deep learning techniques to enable self-driving cars to perceive and interpret the surrounding environment accurately.
Jupyter Notebook 5
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Realtime-Customer-Counting-With-Deep-Learning-Techniques-And-Web-UI
Realtime-Customer-Counting-With-Deep-Learning-Techniques-And-Web-UI PublicThe repository contains the source code for a system that processes images and extracts demographic information such as age, gender, and ethnicity. The system employs machine learning models and co…
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Anomaly-Detection-in-Network-Traffic-Using-Machine-Learning-and-NS-3-Simulations
Anomaly-Detection-in-Network-Traffic-Using-Machine-Learning-and-NS-3-Simulations PublicThis project uses NS-3 simulations and machine learning to detect network anomalies. It models five subnets with various cyberattacks and collects flow-level metrics like delay and throughput. A Ra…
Jupyter Notebook
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Urban-Sound-Classification
Urban-Sound-Classification PublicDeep learning-based urban sound classifier using UrbanSound8K and Grad-CAM explainability
Jupyter Notebook 2
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