Abstract: Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies. This paper ...

The Houston Rockets are getting some better production from their All-Star center Alperen Şengün as the final weeks of the season approach. Şengün is the key to the Rockets' success and may be the cog ...

Abstract: Anomaly detection using machine learning algorithms is rising lately, especially with increased data volume and velocity. One of the most recent anomaly detection algorithms is Isolation ...

Hyperspectral images (HIs) include roughly continuous spectral and spatial data pertaining to land cover, enhancing the ability to identify land cover. Therefore, HIs have significant application ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Jared Ecker is a researcher and fact-checker ...

Geographically limited dispersal generates spatial patterns where genetic differences between individuals increase with geographic distance (“isolation by distance”). Classical isolation by distance ...

This guide provides IT leaders with a comprehensive approach to applying zero-trust principles in AI and LLM architectures, emphasizing the integration of ethical considerations from the ground up. In ...

Isolation Forest: A powerful tool for detecting anomalies in high-dimensional data. ARIMA: A time-series forecasting model used to predict future trends in transaction activity. The tool also provides ...

The long-term loss of distribution network in the process of distribution network development is caused by the backward management mode of distribution network. The traditional analysis and ...

Mutation is the process of randomly altering some symbols in a solution's string. Mutation can be performed with different probabilities, such as fixed, adaptive, etc. The idea is to introduce some ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...