We propose EAGLE, a tuning-free framework for anomaly detection. The framework comprises two core components: (1) a PatchCore-based expert model that performs preliminary anomaly detection and ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Abstract: The development of smart home gadgets improves the security level in the house and at same time introduces some risks with these devices which are not aware before. This research improves ...

“Grey’s Anatomy” actor James Pickens Jr. saves lives on screen, but says early detection saved his. The actor, who has portrayed Dr. Richard Webber on the ABC hit for more than 20 years, appeared in ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Skin cancer is one of the most common types of cancer worldwide, yet it’s also among the most preventable when caught early. Every year, millions of people are diagnosed with skin cancer, and while ...

Hairfall is a primary concern for many individuals worldwide today. Hair strands may fall due to various conditions such as hereditary factors, scalp health issues, nutritional deficiencies, hormonal ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Abstract: Zero-Shot Anomaly Detection (ZSAD) aims to identify anomalies in unseen categories or scenarios. Recently, Vision-Language Models (VLMs), most notably CLIP, have been utilized to enhance ...