Catálogo de publicaciones - revistas
Título de Acceso Abierto
Industrial Artificial Intelligence
Resumen/Descripción – provisto por la editorial en inglés
Industrial Artificial Intelligence (IAI) highlights the development of AI techniques that offer an improved solution with respect to increasing prediction accuracy, handling uncertainties in data and processes, meeting real-time requirements in industrial data modelling, control and optimization, and providing physical interpretation in learner models and/or obtained results. Besides technical fundamentals, IAI advocates real-world industrial applications, where at least one of these issues mentioned above should be addressed and properly presented. IAI serves as the first dedicated peer review research forum to publish and discuss any and all scientific fields of research pertaining to or concerning Industry, specifically in the context of how Artificial Intelligence and Machine Learning practices can be applied for improvement and optimization that appear in process industries and applications of the industrial internet. IAI emphasizes the publication of advanced machine learning algorithms that meet the requirements of industrial processes, and also encourages real-world case studiesPalabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | desde ene. 2023 / hasta nov. 2024 | SpringerLink |
|
Información
Tipo de recurso:
revistas
ISSN electrónico
2731-667X
Editor responsable
Springer Nature
