YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...
VenomX is an advanced voice assistant for Windows, utilizing Python and AI for NLP, information retrieval, and YOLO-based object detection. It offers voice interaction, task scheduling, app management ...
A curated list of papers and resources related to Described Object Detection, Open-Vocabulary/Open-World Object Detection and Referring Expression Comprehension ...
To tackle issues, including environmental sensitivity, inadequate fire source recognition, and inefficient feature extraction in existing forest fire detection algorithms, we developed a ...
Researchers from Tecnológico de Monterrey have developed a cutting-edge aerial smoke detection system combining a quadrotor UAV and an optimized YOLOv8 nano model, capable of real-time detection under ...
Abstract: Regarding the current problems of false alarms and missed detections in fire detection, we propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU), by optimizing ...
AS renewable energy systems, including solar panels and battery energy storage systems (BESS), gain increasing popularity, experts caution about the potential fire risks posed by lithium-ion batteries ...
Abstract: The frequency of wildfires has recently increased worldwide. Accordingly, studies are underway to reducing the false detection rate of wildfires or to improve the problem of non-fire reports ...
significantly improving the sensitivity of detection compared to traditional methods[2]. The CMV method demonstrated the ability to recover multiple analytes from fire debris, even in challenging ...
Recently, the group of Prof. Labao Zhang of Nanjing University, together with the group of researcher Haiyong Gan of the National Institute of Metrology, China, have developed a new thermal radiation ...