It is not feasible, nor indeed ethical, to run a facial recognition system against all images on the internet.
Using drones makes detecting land mines safer. Using AI to fuse data from multiple types of sensors on the drones makes it more efficient.
A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...
The research began as a scientific test of whether subtle changes in pupil dilation and eye movement could reveal deception as reliably as a polygraph.
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Abstract: Community detection is capable of uncovering the inherent structure and functional organization within complex networks by analyzing multi-scale topological features. According to the brief ...
Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...
We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...
We are a group of students working on graph algorithms, and we would like to contribute by implementing the Louvain community detection algorithm in JGraphT for detecting communities in large networks ...
The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...
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