Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Abstract: In this paper we propose an optimized version of the PCA algorithm by using genetic algorithms and the KNN technique with applications in the classification of image classes. The algorithm ...

Abstract: Classical clustering algorithms such as k-means face limitations in handling clusters with heterogeneous shapes, densities, and sizes, while exhibiting sensitivity to initial centroid ...

AI data centers are essential to winning the global AI race — but most communities don’t want them in their backyards. It’s easy to see why. These facilities are enormous, resource-intensive and often ...

The U.S. Department of Homeland Security (DHS) has requested personal information of online users who have been critical of U.S. Immigration and Customs Enforcement (ICE), according to the New York ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The study used a mixed-methods approach, utilising 1,454 Reddit narratives about AI-driven job displacement, to examine how AI is transforming the workplace psychological contract. This study used ...