A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Wheat is a global staple, but its main protein, “gluten,” can trigger severe reactions ...

Abstract: Anomaly detection is a crucial aspect in ensuring the reliability of industrial products in smart manufacturing. Despite employing unsupervised anomaly detection methods to mitigate the ...

The widespread adoption of digital services, along with the scale and complexity at which they operate, has made incidents in IT operations increasingly more likely, diverse, and impactful. This has ...

System will help discover problems that can then be addressed by human experts ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...

Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...

Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...

Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...