Cargando…
A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial Settings
Artificial Intelligence (AI) is one of the hottest topics in our society, especially when it comes to solving data-analysis problems. Industry are conducting their digital shifts, and AI is becoming a cornerstone technology for making decisions out of the huge amount of (sensors-based) data availabl...
Autores principales: | Benedick, Paul-Lou, Robert, Jérémy, Le Traon, Yves |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469892/ https://www.ncbi.nlm.nih.gov/pubmed/34577398 http://dx.doi.org/10.3390/s21186195 |
Ejemplares similares
-
A Case Driven Study of the Use of Time Series Classification for Flexibility in Industry 4.0
por: Polge, Julien, et al.
Publicado: (2020) -
Assessing the artificially intelligent workplace: an ethical framework for evaluating experimental technologies in workplace settings
por: Hosseini, Ziagul, et al.
Publicado: (2023) -
Applications of artificial intelligence techniques in the petroleum industry
por: Hemmat-Sarapardeh, Abdolhossein, et al.
Publicado: (2020) -
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
por: Selvaraj, Chandrabose, et al.
Publicado: (2021) -
Application of Artificial Intelligence in Food Industry—a Guideline
por: Mavani, Nidhi Rajesh, et al.
Publicado: (2021)