A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Abstract: The performance of underwater target detection techniques is limited by various factors. First, in underwater image data sets, there exists degradation such as color bias, low contrast, and ...

CrowdStrike gets a Buy rating as AI-driven, cloud-native network effects fuel retention and growth—plus key risks to watch.

Mammotion Luba Mini AWD LiDAR: full review of the cordless robotic lawnmower for gardens up to 1500 m². Tri-Fusion LiDAR ...

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...

GE HealthCare Technologies Inc. (NYSE: GEHC) leads with 100 FDA-approved AI devices, concentrating heavily on imaging and diagnostics. Their CleaRecon DL technology sharpens cone-beam CT images using ...

Carbon monoxide can be deadly. Every year, over 400 people in the U.S. die unintentionally from CO poisoning, and more than 100,000 wind up in emergency rooms, according to the Centers for Disease ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.