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Engineering Applications of Artificial Intelligence
Resumen/Descripción – provisto por la editorial en inglés
Artificial Intelligence (AI) techniques are now being used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering.Focal points of the journal include, but are not limited to innovative applications of:
• Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics,
• Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control,
• Decision-support systems,
• Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning,
• Applications of chaos theory and fractals,
• Metaheuristics and their applications in intelligent automation: Genetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, etc.,
• Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems,
• Neural networks, fuzzy systems, neuro-fuzzy systems,
• Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis,
• Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability,
• Intelligent fault detection, fault analysis, diagnostics and monitoring,
• Self-organizing, emerging or bio-inspired system,
• Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.
Engineering Applications of Artificial Intelligence publishes:
• Survey papers/tutorials.
• Contributed papers — detailed expositions of new research or applications.
• Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications.
• IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature.
For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde mar. 1988 / hasta dic. 2023 | ScienceDirect |
Información
Tipo de recurso:
revistas
ISSN impreso
0952-1976
ISSN electrónico
1873-6769
Editor responsable
Elsevier
País de edición
Reino Unido
Fecha de publicación
1988-
Cobertura temática
Tabla de contenidos
A predictive model for the maintenance of industrial machinery in the context of industry 4.0
Jose-Raul Ruiz-Sarmiento; Javier Monroy; Francisco-Angel Moreno; Cipriano Galindo; Jose-Maria Bonelo; Javier Gonzalez-Jimenez
Palabras clave: Electrical and Electronic Engineering; Artificial Intelligence; Control and Systems Engineering.
Pp. 103289
Multi-UAV trajectory optimizer: A sustainable system for wireless data harvesting with deep reinforcement learning
Mincheol Seong
; Ohyun Jo; Kyungseop Shin
Palabras clave: Electrical and Electronic Engineering; Artificial Intelligence; Control and Systems Engineering.
Pp. 105891
Development of an obstacle avoiding autonomous vehicle by using stereo depth estimation and artificial intelligence based semantic segmentation
Utku Ulusoy; Oğulcan Eren; Ayşe Demi̇rhan
Palabras clave: Electrical and Electronic Engineering; Artificial Intelligence; Control and Systems Engineering.
Pp. 106808