Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Whether black-box attacks have become a real threat against image classification cloud services? Our research demonstrates that it is possible to exploit the load balancer to accelerate black-box ...

University of Queensland, School of Human Movement Studies, Queensland, Australia Correspondence to Miss E M Beckman, University of Queensland, School of Human Movement Studies, Rm 314 Connell ...

Julia is the associate news editor for Health, where she edits and publishes news articles on trending health and wellness topics. Her work has been featured in The Heights, an independent student ...

Abstract: Multi-frequency eddy current test (MFECT) is an important NDT technology, and it can be applied to realize multi-parameter detection and interference elimination effectively. Aiming at the ...

Abstract: We conduct an in depth study on the performance of deep learning based radio signal classification for radio communications signals. We consider a rigorous baseline method using higher order ...

The issue report classification competition consists of building and testing a set of multi-class classification models to classify issue reports as belonging to one category representing the type of ...