This research develops a comprehensive framework for quantifying operational risk in financial institutions using Bayesian networks. Traditional operational ...

This paper introduces phytomorphic computing, a novel computational paradigm inspired by plant growth mechanisms and resource distribution patterns in botani...

This research develops a comprehensive quantitative framework for detecting financial fraud in corporate accounting using Bayesian networks. The study analyz...

This research investigates the application of machine learning techniques, specifically deep neural networks, in detecting financial statement manipulation w...

The integration of artificial intelligence into autism spectrum disorder diagnosis holds tremendous potential for improving early detection and assessment a...

The development of robust artificial intelligence systems for autism spectrum disorder (ASD) diagnosis and intervention faces significant challenges due to ...

This research presents a novel machine learning framework for early autism spectrum disorder (ASD) detection through multimodal behavioral analysis. We devel...