Measurement and Applications: Artificial Intelligence in the Field of Measurement Applications

被引：0
作者：
Capriglione, Domenico [1 ]
Carissimo, Chiara [2 ]
Milano, Filippo [3 ]
Sardellitti, Alessandro [3 ]
Tari, Luca [3 ]
机构：
[1] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, Elect & Elect Measurements, Cassino, Italy
[2] Univ Molise, Campobasso, Italy
[3] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, Cassino, Italy
来源：
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE | 2024年 / 27卷 / 04期
关键词：
Measurement uncertainty; Warehousing; Social factors; Weather forecasting; Time measurement; Artificial intelligence; Medical diagnosis; Logistics; Accuracy; Instrumentation and measurement; Meteorology; ERRORS;
D O I：
10.1109/MIM.2024.10540394
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In recent years, advances related to Artificial Intelligence (AI) have had a major impact on the scientific world. These methods are even more permeating various technical fields such as technology, medicine, science and sociology. Currently, applied AI involves the use of AI-based methods as tools to refine or optimize systems within specific domains. As an example, this includes the use of AI techniques to refine weather forecasting in meteorology, improve the efficiency of warehouse logistics in the warehousing and shipping industry, enable early diagnosis of diseases in medicine, and in the field of instrumentation and measurement (I&M), optimize measurement methods by improving the accuracy of measuring instruments and techniques [1].
引用
收藏
页码：29 / 36
页数：8
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