Artificial intelligence in control journals | Elsevier

Engineering Applications of Artificial Intelligence

ISSN: 0952-1976
5 Year impact factor: 7.4
Impact factor: 7.5

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 systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real world applicationsSelf-organizing, 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-support systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplications 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 reliabilityIntelligent fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsEngineering Applications of Artificial Intelligence publishes:Survey papers/tutorialsContributed papers — detailed expositions of new research or applicationsCase 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 applicationsIFAC 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 literatureThe 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.orgSoftware publicationWe 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: [email protected]

IFAC Journal of Systems and Control

ISSN: 2468-6018
5 Year impact factor: 1.4
Impact factor: 1.8

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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Journals in Artificial intelligence in control

Engineering Applications of Artificial Intelligence

IFAC Journal of Systems and Control