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Elsevier

Journals in Artificial intelligence in control

  • IFAC Journal of Systems and Control

    • ISSN: 2468-6018
    IFAC Journal of Systems & Control publishes significant, previously unpublished, and high-quality research papers containing generalizable, extensible and transferable innovations across all aspects of the field of control and automation.The Journal has considerable interest in multi-, cross-, and trans- disciplinary research from control and systems theory to their application, including articles where the novelty is in the linkages between and across fields. These works need not be novel in a single focus area, but show significant impact and novelty in the combination and extension across multiple areas. They often explore new areas of theory and/or (especially) application at the boundary of systems and control enabling new viewpoints, insight, high/new impact, and/or techniques.A major requirement for publication is for articles to clearly state:• Novelty and Context: The novelty of the article and/or its novel elements relative to a large field of work and/or its disciplines of application. • Impact and Insight: The potential impact and insight created by the work in the relevant fields • Validation: The clear validation of their results in comparison to other results in the field, and/or experimental test results by the authors and/or other works.Papers should clearly express all these aspects in (each/all of) the Introduction, Methods, Results, Discussion, and Conclusions sections of the article.Further, the journal requires papers be in a standard format structure of major sections in the order: Abstract – Introduction – Methods – Results – Discussion – Conclusions – References, and no other structure.The journal accepts papers across the entire breadth and depth of both theory and application of control systems and system identification, as defined by IFAC Technical Committees and listed below:• Systems and Signals, Dynamic Systems Modelling, and System Identification • Design Methods in Linear, Nonlinear, Optimal, Robust, Decentralised, and Distributed Control • AI / Machine Learning, Computer Systems, Cognition, and Communication Systems • Mechatronics, Robotics, Human-Machine Systems and Interfaces, and Sensors/Actuators • Cyber-Physical Manufacturing and Human Systems • Power Systems and Distribution, Process Control • Transportation, Aerospace, and Vehicle Systems • Biomedical, Biological, and Ecological Systems • Social Systems, Control Education, Economic and Financial SystemsIn addition, the Journal strongly encourages "vision papers" about IFAC Clusters and Technical Committee (CC/TC) areas, as well as the organization of special issues from IFAC Technical Committee organised symposiums. Finally, the Journal will also invite special issues and reviews in areas of special interest.Authors are strongly encouraged to provide attachments of data files, computer programs, and other links as part of the electronic environment of the papers, but not part of the reviewed work.
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  • Engineering Applications of Artificial Intelligence

    • ISSN: 0952-1976
    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–thing... and cyber-physical systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real-world applicationsSelf-org... emerging or bio-inspired systemGlobal 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 controlDecision-supp... systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplication... of chaos theory and fractalsReal-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informaticsKnowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systemsPerception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesisAspects 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 reliabilityIntellige... fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsPap... 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 engineeringThe use of undefined acronyms in the title and in the abstract is forbiddenThe papers must be formatted in single-column formatFor more details on the International Federation of Automatic Control (IFAC), visit their home page.
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