Introduction to the Minitrack on Artificial Intelligence-Powered Devices and Sensors

被引：0

作者：

Ronchieri, Elisabetta ^{[1
,2
]}

Cesini, Daniele ^{[1
,2
]}

dell'Agnello, Luca ^{[1
]}

机构：

[1] CNAF Bologna, INFN, Bologna, Italy

[2] Univ Bologna, Bologna, Italy

来源：

PROCEEDINGS OF THE 58TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2025年

关键词：

Devices and sensors; AI-powered Anomaly Detection; Identification of Rare Events; Triggering Events; Unbalanced Data;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Artificial Intelligence (AI) has significantly advanced the management of connectivity between devices and sensors, thereby improving problem analysis, mitigating risks, and enhancing understanding of complex systems. The integration of AI into manufacturing and infrastructure systems facilitates decision-making regarding events that deviate from the norm, prompting tailored actions according to the risk level. Various methods and models have been developed so far to enhance the accuracy of problem identification within data sets, thereby helping experts of various fields in making informed decisions.

引用

页码：991 / 991

页数：1