A5078662534- Fire Detection and Safety Systems
- Personality Traits and Psychology
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Fire dynamics and safety research
- Video Analysis and Summarization
- Emotion and Mood Recognition
- Humor Studies and Applications
- Data Visualization and Analytics
- Face recognition and analysis
- Remote Sensing and LiDAR Applications
- Generative Adversarial Networks and Image Synthesis
- Fire effects on ecosystems
- Image Enhancement Techniques
Bilkent University
2019-2021
Early detection of wildfire smoke in real-time is essentially important forest surveillance and monitoring systems. We propose a vision-based method to detect using Deep Convolutional Generative Adversarial Neural Networks (DC-GANs). Many existing supervised learning approaches convolutional neural networks require substantial amount labeled data. In order have robust representation sequences with without smoke, we two-stage training DCGAN. Our framework includes, the regular DCGAN real...
Real-time flame detection is crucial in video based surveillance systems. We propose a vision-based method to detect flames using Deep Convolutional Generative Adversarial Neural Networks (DCGANs). Many existing supervised learning approaches convolutional neural networks do not take temporal information into account and require substantial amount of labeled data. In order have robust representation sequences with without flame, we two-stage training DCGAN exploiting spatio-temporal...
Network planners consider many factors in designing an indoor signal space to ensure a healthy network. These include material attenuation, channel overlap, peak bandwidth demand, and even humidity. Unfortunately, the current network planning software often fails account for these adequately. Further, state-of-the-art either uses few samples or limits itself single router. WaveRider is mixed reality application immersively viewing multiple routers their strengths spaces aid analysis. Our...