Journals in Systems and control
Journals in Systems and control
The Systems and Control collection addresses theory and applications in automation, feedback control, robotics, and dynamic system modeling. It provides researchers and engineers with advanced methodologies to design, analyze, and optimize complex engineered systems. Highlighting integration with AI, IoT, and smart technologies, this portfolio supports innovation in industrial, aerospace, and robotic control systems.
International Journal of Machine Tools and Manufacture
Design, Research & ApplicationThe International Journal of Machine Tools and Manufacture is devoted to advances in scientific understanding of essential mechanics of processes and machines applied to the manufacture of engineering components, mainly in metals, but also in composites, ceramics and other structural/functiona... materials. To this end coverage is given to a range of topics that includes:•Essential mechanics of processes involving material removal, accretion and deformation, in solid, semi-solid or particulate form •Significant scientific development of existing or new processes and machines •In-depth characterisation of workpiece materials (structure/surfaces) by advanced techniques (e.g. SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to reveal new phenomenological aspects that govern manufacturing processes •Tool design, utilisation and in-depth studies of failure mechanisms •Novel concepts of machine tools/fixtures/tool holders supported by modelling and demonstrations that are relevant to manufacturing processes within the journal's remit •Novel scientific contributions dealing with interactions between the machine tool, control system, software design and processes. •Studies of specific mechanisms governing niche processes (e.g. ultra-high precision, nano /atomic level manufacturing with either mechanical or non-mechanical "tools") •Novel approaches, supported by adequate in-depth scientific analysis, addressing emerging /breakthrough processes (e.g. bio-inspired manufacturing) and/or applications (e.g. ultra-high precision optics)The above list is not exhaustive and papers on other topics associated with process science/technology or manufacturing hardware are welcome. Significant and useful advance of the current state of knowledge is an essential factor and it is important that papers are presented in a manner that will be appreciated by both academics and practising engineers. It is unlikely that papers dealing with theory or modelling alone will be acceptable, unless a significant proven advance in scientific/technolog... knowledge is demonstrated. Likewise, papers in which the use of methodology predominates over technological advance would probably be rejected. Normally, multipart papers are not acceptable.- ISSN: 0890-6955
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–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.- ISSN: 0952-1976
Computers & Chemical Engineering
An International Journal of Computer Applications in Chemical EngineeringComputers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems. Several major areas of study are represented in the journal, including:• Modeling, numerical analysis and simulation • Mathematical programming (optimization) • Cyberinfrastructure, informatics and intelligent systems • Process and product synthesis/design • Process dynamics, control and monitoring • Abnormal events management and process safety • Plant operations, integration, planning/scheduling and supply chain • Enterprise-wide management and technology-driven policy making • Domain applications (molecular, biological, pharmaceutical, food, energy, and environmental systems engineering)Also, general papers on process systems engineering are welcome as well as emerging new areas and topics not covered above.Articles published cover different aspects of the application of process systems engineering to one or more of the general areas listed above, including new applications of established methods, comparisons of alternative methodologies, descriptions of state-of-the-art industrial applications and significant developments in computing targeted at training/education. Reports of software implementation must feature novel uses of state-of-the-art computing technologies. Computers & Chemical Engineering publishes full-length articles, perspective papers, journal reviews, short notes and letters to the editor.Online article submission now available via: https://www.editoria... and Proposals: We are interested in receiving comttpments/feedback on this and our other journals and welcome publication proposals for books, electronic products, new journals and co-operation for existing journals.- ISSN: 0098-1354
Computers in Industry
An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:Show new trends in and options for the use of Information and Communication Technology in industryLink or integrate different technology fields in the broad area of computer applications for industryLink or integrate different application areas of ICT in industry.General topics covered include the following areas:The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:Technologically outstanding and front-end Application-oriented with a generalised message Representative for research at an international level- ISSN: 0166-3615
Control Engineering Practice
A journal of IFAC, The International Federation of Automatic Control. Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicab... methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Paramete... Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related TechnologiesFor more details on the International Federation of Automatic Control (IFAC), visit their home page.- ISSN: 0967-0661
Knowledge-Based Systems
Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.This journal's current leading topics are but not limited to:Machine learning theory, methodology and algorithmsData science theory, methodologies and techniquesKnowledge presentation and engineeringRecommend... systems and E-service personalizationIntel... decision support systems, prediction systems and warning systemsComputational Intelligence systemsData-driven optimizationCognitiv... interaction and brain–computer interfaceKnowledge-b... computer vision techniquesSpecial Issue InstructionsKnowledg... Systems (KBS), an international and interdisciplinary peer-reviewed academic journal in the field of artificial intelligence, welcomes the submission of special issues on timely topics within the scope of the journal. The main objectives of the journal to organize special issues are to bring together state-of-the-art and high-quality research works, to promote key advances in the science and applications in the important field of knowledge-based systems, and to drive emerging research topics and establish flagships in the field.How to submit your Special Issue proposal:Check the selection criteria below for a KBS special issue to make sure your proposal is relevant to the journal,Write your special issue proposal in the structure given below,Submit the special issue proposal to the Editor-in-Chief (EiC),The EiC and KBS special issue assessment panel will then review your proposal and reply with their decision.Guest Editors' Duty and Special Issue Process:After a special issue proposal is accepted by the journal, a call for papers can be formally distributed. All the papers submitted to the special issue will undergo a peer review process. Guest Editors will manage the process and ensure that the reviewing standards for Knowledge-Based Systems regular issues are maintained. A Managing Guest Editor, who will be responsible for distributing submissions to the other Guest Editors, will need to be nominated. After the Guest Editors make recommendations on each paper in the special issue, the EiC will make the final decisions of acceptance for publication. After all papers to be included in the Special Issue are accepted, the Guest Editors will be responsible for either preparing an Editorial (1–2 pages in length) or writing a field survey (5–10 pages in length), which will incorporate the selected papers and related literature relevant to the topic of the special issue.Software 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: software.impacts@els...- ISSN: 0950-7051
Computational Materials Science
The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, and organic materials, such as polymers, liquid crystals, surfactants, emulsions, and also hybrid materials combining both inorganic and organic components such as polymer nanocomposites, nanocrystal superlattices or surfactant nanoparticle mixtures.Papers that report on the development of new methods, enhancement of existing approaches or significant technical computational advances are of interest.Papers with a focus on simulations must contain new conceptual or computational advances. For example, molecular dynamics using standard force fields, ordinary techniques and reporting conventional average quantities will be rejected without review. Validation of non-first-principles methods and transferability of methods must be included as part of each submission. In-depth discussion of impact, physical properties, and motivation for the system under study is strongly recommended.Studies including experimental data are of interest, but they must address a relevant theoretical/computat... question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review.Data-driven techniques in materials research, including machine-learning enhanced simulations and materials informatics, have emerged as powerful techniques to complement traditional computational materials science. Consistent with established best practices in across data-driven science, it is important that studies proposing or applying data-driven techniques provide data and code that adhere to FAIR data principles- Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. Papers that are deemed to be primarily methodological but do not provide FAIR data and code will be returned without review. In a few rare cases, some limitations may prevent the complete public sharing of code and data; for instance, when the data or code is subject to copyright or intellectual property. However, these cases should be rare and considered on a case-by-case basis. The scope of the journal includes:obtaining new or enhanced insights into material behavior, properties and phenomena,predicting structure-property relationships for new materials in conjunction with data informatics,novel capabilities of computational methods and algorithms, technical software and shareware, or cyberinfrastructures... are accepted in the form of critical reviews, articles, letters and perspectives. Occasional special issues will be organized around a particular theme and some of these will be guest edited.Not all topics that potentially fall under the category of computational materials science will be considered; to find out more please visit the Guide for Authors.Guide for Authors:Research articles will be assessed based on originality, uniqueness and scientific merit. Manuscripts with significant overlap with existing reported works are likely to be inadmissible.To be considered for publication in Computational Materials Science studies proposing or applying data-driven techniques must exhibit a high degree of novelty in application and interpretation, in addition to providing FAIR-compatible data and code to support their analysis. the data and code used to generate your models are not available. This is achievable in different ways, not limited to posting code on a publicly available GitHub repository and/or data on Zenodo, including the code and data as attachments to the manuscript, or as a docker container.Not all topics that potentially fall under the category of computational materials science will be considered. Submissions that emphasize small molecules or clusters, focus on the design of components for structural applications, describe performance of an electronic device, or characterize thermal or mass transport without extensive accompanying input and associated discussion from computational materials science methods are best suited for other specialized journals. Additionally, papers that focus on continuum mechanical responses of broad classes of materials are likely better suited for journals that specialize in the mechanics of materials. Papers on biomolecules, drugs, bone, or medical applications will not be considered. In addition, papers on materials such as asphalt, cement, concrete, and related materials will be rejected without review.- ISSN: 0927-0256
Neural Networks
The journal Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning.Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep learning algorithms and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspire... artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. On the other hand, neural networks should be central to submissions. The journal publishes articles, letters, and reviews/tutorials, as well as letters to the editor, editorials, and current events. Articles are published in one of five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of three of the oldest and most prominent neural network societies: the International Neural Network Society (INNS), the Asia-Pacific Neural Network Society (APNNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.- ISSN: 0893-6080
Annual Reviews in Control
A journal of IFAC, the International Federation of Automatic ControlThe field of Control is changing very fast now with technology-driven “societal grand challenges” and with the deployment of new digital technologies. Indeed, increasingly both economic developments and societal needs depend upon collections of diverse systems working together to provide needed services, comfort, health, safety, and security. Consequently, there is an increasing demand for methodological and technical approaches which allow multiple, independent, heterogeneous systems to interoperate cooperatively providing broader capabilities than available from individual systems. Such considerations apply in many different domains including transportation, health care, energy and water management, smart cities, defense and security, social services, manufacturing systems, supply chains and more. The design of such systems requires understanding the joint dynamics of computers, software, networks, physical, chemical, biological processes and human-in-the-loop.Th... aim of Annual Reviews in Control is to provide comprehensive and visionary views of the field via the publication of high-impact review articles.For more details on the International Federation of Automatic Control (IFAC), visit their home page.- ISSN: 1367-5788
Computers & Electrical Engineering
The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like:Signal ProcessingPower Engineering (including renewable and green energies)Artificial Intelligence - methods and applicationsSecurity... journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.scienced... should be submitted online following the guidelines in the Guide for Authors.- ISSN: 0045-7906
