Early-stage flame and smoke in forest fire scenes are often small, weakly textured, and easily confused with complex backgrounds, while many accurate YOLO-based detectors are difficult to deploy on resource-constrained FPGA devices. This study proposes YOLO-FSD, a lightweight detector derived from YOLOv4-tiny for FPGA-...
Chao-Yun Mai, Pan-Rong Chen, Hai-Peng He et al.· Fire· 0 citations
High-resolution remote sensing change detection must distinguish genuine changes from pseudo-changes caused by misregistration, illumination, and texture variations. We propose STDFNet, a lightweight Symmetric Temporal Difference and Multi-Scale Context Gating Network. A shared MobileNetV2 extracts four-level bi-tempor...
Chong-Yi Huang, Jia-Shuo Li, Pan-Rong Chen et al.· 2026 2nd International Confe...· 0 citations
Leveraging advances in artificial intelligence algorithms, distributed acoustic sensing (DAS) based on phase-sensitive optical time-domain reflectometry (Φ-OTDR) has achieved high event-recognition accuracy through a variety of learning models. Nevertheless, further improving the accuracy of multi-event recognition rem...
Rong Wang, Xinlei Qian, Chongyi Huang et al.· Photonics· 0 citations
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