Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

This story is the final part of CNN's As Equals series on gender inequality. For information about how the series was funded and more, check out our FAQs. The world was confronted by this form of ...

ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...

Nearly 6 in 10 Americans disapprove of the US decision to take military action in Iran, as most say a long-term military conflict between the two nations is likely, according to a new CNN poll ...

With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...

ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...

ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...

Deep learning models have made significant progress in the field of object detection. However, traditional object detection architectures such as Faster R-CNN and YOLO face great challenges in ...

在现代农业智能化进程中，精确识别农作物是实现精准农业管理的关键步骤。胡萝卜作为全球重要的经济作物，其生长监测 ...