Engineering Applications of Artificial Intelligence

A journal of IFAC, The International Federation of Automatic Control.

Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution, and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. Engineering Applications of Artificial Intelligence provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report novel aspects of AI used for a real-world engineering application and also validated using public data sets for easy replicability of the research results.

Focal points of the journal include, but are not limited to, innovative applications of:

• Internet–of–things and cyber-physical systems

• Intelligent transportation systems & smart vehicles

• Big data analytics, understanding complex networks

• Neural networks, fuzzy systems, neuro-fuzzy systems

• Deep learning and real-world applications

• Self-organizing, emerging or bio-inspired system

• Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.

• 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

• Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics

• Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert 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

• Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises

• Robotics

Papers which do not respect the four following conditions will be desk-rejected without being sent for peer review:

• Papers on new metaphor-based metaheuristics are very rarely accepted by Engineering Applications of Artificial Intelligence (please see further details in the ‘Article types’ section of the Guide for Authors)

• The abstract should clearly specify which is the contribution in AI, and which is the application in engineering

• The use of undefined acronyms in the title and in the abstract is forbidden

• The papers must be formatted in single-column format

For more details on the International Federation of Automatic Control (IFAC), visit their home page.