Haze-Proof AI: Drone-Powered Deep Learning Hits 99% Accuracy in Traffic Density Estimation
Researchers in India have developed TDE-RYOLO, a deep learning framework that combines image dehazing, a modified YOLOv9 detector, and Poisson-based ...
Researchers in India have developed TDE-RYOLO, a deep learning framework that combines image dehazing, a modified YOLOv9 detector, and Poisson-based ...
An open-source hexacopter documented in HardwareX combines a FLIR Lepton 3.5 radiometric thermal camera with a Garmin LiDAR-Lite V3 mapping ...
Researchers at KAIST have developed a reinforcement learning framework that lets fuel-constrained drone teams replan their routes in real time ...
Researchers in Morocco have built a real-time pipeline that combines a hybrid U-Net and SegFormer deep learning model with a ...
Researchers have developed a UAV navigation framework that detects GPS spoofing with sparse autoencoders, fuses multi-sensor data for obstacle avoidance, ...
Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...
Peruvian researchers combined close-range drone imagery with two YOLOv8 deep learning models to detect Hass avocados and classify their ripeness ...
A comprehensive new review maps how deep learning can fuse social media and satellite data to make disaster response faster ...
A computational design optimization study shows that concentrating propellers at the wingtips can raise UAV cruise lift-to-drag ratios by 15.4 ...
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© 2025 Scienmag - Science Magazine