Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

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.

Kathmandu, Feb. 23 -- In the month before Nepal's parliamentary elections, popular Facebook pages with a combined six million ...

Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...

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 ...

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 ...

Abstract: Multilayer networks, as an important branch of network science, have become a powerful tool for revealing and analyzing the internal structures of complex systems. Within these networks, ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...