This research develops a comprehensive machine learning framework for predicting corporate bankruptcy using financial ratios and accounting metrics. We analy...

This paper introduces Phonotopic Resonance Computing (PRC), a novel computational framework inspired by the hierarchical organization of the auditory cortex ...

This study investigates the efficacy of machine learning algorithms in detecting early signs of autism spectrum disorder (ASD) through acoustic analysis of i...

This research develops a comprehensive machine learning framework for predicting corporate financial distress using accounting and market data. We employ mul...

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

Long-term monitoring of autism spectrum disorder progression requires adaptive systems capable of capturing complex developmental trajectories and evolving ...

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