Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Abstract: Existing object detection and annotation methods in surveillance systems ... the real-world security and surveillance environments, is utilized to train a yolo model for fast and accurate ...

Addressing UAP data gaps, the Galileo Project employs advanced sensors and AI to monitor the sky, aiming for precise ...

This repository is the code release of the paper "DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection". Pattern Recognition. ICPR 2024. We design a dual-enhancement-based ...

Moreover, in a generalization test conducted on the remote sensing small target dataset VisDrone2019, the VRU-YOLO model achieved an mAP50 of 31%. This study demonstrates that the improved model ...

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 ...

YOLO COUNTY -- End-of-life mercy for a twice-convicted child molester serving more than 100 years to life in prison is not something that Yolo County's District Attorney Jeff Reisig supports, he ...

KEVIN ELLIS WAS CONVICTED MORE THAN A DECADE AGO, AND NOW THE YOLO COUNTY DISTRICT ATTORNEY’S OFFICE TELLS US HE’S BEEN APPROVED FOR COMPASSIONATE RELEASE. IT’S REALLY A TRAGIC SITUATION SET ...

An artificial intelligence-powered weapon detection system failed to pick up the handgun a 17-year-old Nashville, Tennessee, student used in a school shooting Wednesday that killed a 16-year-old ...