The International Journal of Intelligent Real-Time Automation

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. This journal 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 some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.

Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:

    Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online).
    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.

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

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

The Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors:

    present their method using the normal, standard optimization terminology;
    show that the new method brings useful and novel concepts to the field;
    motivate the use of the metaphor on a sound, scientific basis;
    present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms.

For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org

Software publication

We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

For more information contact us at: software.impacts@elsevier.com

Special Issue on AI-Driven Innovations in Cyber-Physical Systems: Advancements, Challenges, and Ethical Considerations
截稿日期: 2024-12-13

The proposed special issue, titled "AI-Driven Innovations in Cyber-Physical Systems: Advancements, Challenges, and Ethical Considerations," aims to delve into the intricate relationship between Artificial Intelligence (AI) and Cyber-Physical Systems (CPS) across diverse domains. By gathering a variety of papers focusing on the intersection of AI and CPS, the issue will explore topics such as control systems, security, energy management, healthcare, manufacturing, and smart cities. This collection will highlight the dynamic synergy between AI and CPS, offering novel insights and pushing the boundaries of existing knowledge. With a focus on the rapid evolution of AI technologies within CPS and the inclusion of ethical considerations, this special issue aims to fill a void in the current research landscape. Aligned with the mission of the journal, the issue caters to a broad audience of researchers, practitioners, and policymakers interested in the interdisciplinary nature of AI and CPS. By addressing practical implications and ethical concerns, this collection seeks to provide valuable insights to professionals and academics alike. Overall, "AI-Driven Innovations in Cyber-Physical Systems" aims to contribute significantly to the field while resonating with the readership of the journal.

Guest editors:
Assist. Prof. Antonio Galli (Executive Guest Editor)
Department of Electrical Engineering and Information Technologies, University of Naples, Italy
Email: antonio.galli@unina.it 
Areas of Expertise: deep learning and big data analytics for industrial applications
Prof. Vincenzo Moscato
Department of Electrical Engineering and Information Technologies, University of Naples, Italy
Email: vmoscato@unina.it 
Areas of Expertise: multimedia, knowledge management and big data analytics
Prof. Mouzhi Ge
Deggendorf Institute of Technology, Germany
Email: mouzhi.ge@th-deg.de 
Areas of Expertise: big data analytics, intelligent healthcare systems, internet of things and recommender systems

Manuscript submission information:

Tentative Schedule:

Submission Open Date: June 13, 2024
Submission Deadline: December 13, 2024
Notification of Acceptance: January 31, 2025