A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Real-time object detection and trajectory prediction are crucial tasks in intelligent video systems, particularly for applications such as autonomous driving and urban surveillance. Traditional ...

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...

1 Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 Research Center for Wind ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Paper Yolo v4: https://arxiv.org/abs/2004.10934 yolov3-tiny-prn.cfg - 33.1% [email protected] - 370(R) FPS - 3.5 BFlops - 18.8 MB: yolov3-tiny-prn.weights enet-coco.cfg ...