In the past decade, deep learning has increasingly been applied to medical image interpretation, but without consensus as to whether medical practice should change. Many studies show artificial ...

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.250009, discusses progress and applications of ...

AI matured detection capabilities, but over 100 engagements show human leadership drives cyber resilience and action.

Autonomous SOC architectures can shift some portions of operational decision-making to machines, but not all forms of ...

The traditional discovery economy—built on the multidecade dominance of search engine results pages (SERPs)—is undergoing a tectonic shift into the answer economy. For digital marketers, visibility is ...

A new artificial intelligence method enables satellites to detect disaster-affected areas directly in orbit. The approach combines change detection and anomaly detection techniques to identify floods, ...

The exploitation of multitemporal images has been prudently done in change detection. In the change detection process two images of the same area are taken at two different time instances and then ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...