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

This research investigates the efficacy of machine learning algorithms in detecting autism spectrum disorder (ASD) through vocal pattern analysis. We develop...

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

The deployment of deep learning models for autism spectrum disorder detection in clinical settings requires not only high accuracy but also reliable uncertai...

This paper presents a novel neural architecture search (NAS) framework that optimizes convolutional neural networks for both accuracy and computational effic...

This research investigates the efficacy of machine learning algorithms, specifically Support Vector Machines (SVMs), in detecting autism spectrum disorder (A...

Autism Spectrum Disorder (ASD) is characterized by complex behavioral patterns that manifest across both spatial and temporal dimensions, presenting signific...