Virescent Ventures has been confirmed as the Australian partner in a AUD $50 million funding round for Melbourne-based IND ...

Autonomous military vehicles have moved from experimental labs into active arsenals, reshaping how forces see, […] ...

A pensioner has claimed she was left distressed after an experience at Manchester Airport that she says made her feel ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...

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 ...

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 ...

Abstract: In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of ...

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.

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...