معرفی
Yoan Shin is a researcher active in wireless communication, machine learning, and remote sensing. His work spans indoor localization, SAR ship detection, UAV object detection, and IoT resource allocation.
- Key research areas: Wireless Sensor Networks, Deep Learning, SAR Imagery, UAV Systems, IoT
Recent publications focus on hybrid Wi-Fi/PDR indoor tracking (2023), enhanced RT-DETR architectures for UAV imagery (2024), and SAR ship detection optimization (2024). Trends show expertise in sensor fusion, attention mechanisms, and domain-specific neural networks.
Collaborates extensively with researchers like Chushi Yu, Thu L. N. Nguyen, and Oh-Soon Shin. No explicit awards or teaching roles listed.
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