Michigan’s entire 2026 recruiting cycle was building toward the moment Tuesday when Savion Hiter, a high school running back built like an all-pro, plucked a Michigan hat from the table in front of ...

This article presents an edge-cloud collaboration anomaly detection model for high-dimensional multivariate time series. It is capable of dealing with both point anomaly and pattern anomaly. The ...

1 Drone Lab, Centre for Artificial Intelligence and Robotics, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India 2 Drone Lab, School of Mechanical and Materials Engineering, Indian ...

Introduction: Precision agriculture relies on advanced technologies to optimize crop protection and resource utilization, ensuring sustainable and efficient farming practices. Anomaly detection plays ...

Abstract: Anomaly detection in the monitoring systems of DevOps environments is crucial for ensuring system reliability, preventing downtime, and maintaining the efficiency of continuous integration ...

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...

Time series anomaly detection focuses on identifying abnormal points or periods in time series data that do not conform to expected patterns, trends, or periodic regularities. These anomalies can be ...

图像异常检测是一种通过分析图像中的内容，来识别与众不同或不符合正常模式的图像处理技术。图像异常检测能够自动识别出图像中潜在的缺陷、异常或异常行为，从而帮助我们及时发现问题并采取相应措施。 本产线集成了高精度的异常检测模型 STFPM，提取 ...