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 ...

In this age of information boom, the SlowMist security team discovered that malicious actors frequently utilize social media, phishing websites, and other methods to steal users' digital assets. Our ...

1 Laboratory of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan 2 Department of Clinical Research Governance, The ...

Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations for its future use—an issue of interest to attorneys and courts in New York, ...

A string of lawsuits targeting the use of artificial intelligence and algorithms in claims denials is raising risks for private health insurers and employers, even as the litigation encounters early ...

A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...

Abstract: Information centric network (ICN) based Mobile Edge Computing (MEC) network has drawn growing attentions in recent years. The distributed network architecture brings new security problems, ...

Abstract: In allusion to the disadvantages that fuzzy c-means algorithm is sensitivity to noise and possibilistic c-means is easy to generate superposition cluster center, interval attributes ...