Analytic Methods in Accident Research publishes manuscripts that deal with the development and/or application of innovative statistical and econometric methods to the study of vehicle crashes and other transportation and non-transportation-related accidents. The intent of the journal is to demonstrate how such innovative methodological approaches can be used to provide new insights and quantification of the factors that affect the frequency and severity of accidents - thus providing new guidance for the implementation of appropriate countermeasures. While the focus of the journal is on the underlying analytic approach, acceptable application areas include all elements of transportation safety (road, pedestrian, air, rail, and water safety), construction safety, and any area of study where the unintended consequences of human behavior, machine failures or system failures result in property damage and/or bodily injury.
Industrial engineering is one of the earliest fields to utilize computers in research, education, and practice. Over the years, computers and electronic communication have become an integral part of industrial engineering. Computers & Industrial Engineering (CAIE) is aimed at an audience of researchers, educators and practitioners of industrial engineering and associated fields.It publishes original contributions on the development of new computerized methodologies for solving industrial engineering problems, as well as the applications of those methodologies to problems of interest in the broad industrial engineering and associated communities. The journal encourages submissions that expand the frontiers of the fundamental theories and concepts underlying industrial engineering techniques.CAIE also serves as a venue for articles evaluating the state-of-the-art of computer applications in various industrial engineering and related topics, and research in the utilization of computers in industrial engineering education. Papers reporting on applications of industrial engineering techniques to real life problems are welcome, as long as they satisfy the criteria of originality in the choice of the problem and the tools utilized to solve it, generality of the approach for applicability to other problems, and significance of the results produced.A major aim of the journal is to foster international exchange of ideas and experiences among scholars and practitioners with shared interests all over the world.For more information, please visit the Journal's Editorial Office page.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
Published in collaboration with the Association of European Operational Research Societies (EURO)The open access Article Publishing Charge (APC) fee will be covered by EURO for a limited number of articles submitted by 31st December 2025. Only applicable to articles where the authors institution does not provide open access support. Contact the Journal Manager for more information.The EURO Journal on Computational Optimization publishes research articles and short communications (as well as, strictly upon invitations by the Editor-in-chief, tutorials and surveys) exploring the many areas in which Operations Research and Data Science are tightly connected to one another. The common element in all contributions chosen for publication in the journal is the use of computers for the solution of optimization problems. Coverage includes both methodological contributions and innovative applications, typically validated through convincing computational experiments.The journal is an official publication of EURO: the Association of European Operational Research Societies.This journal is indexed in the Thomson Reuters EMERGING SOURCES CITATION INDEX (WEB OF SCIENCETM CORE COLLECTION)Offers a forum for presentation of original mathematical models, methodologies and computational resultsFocuses on advanced applications in computational optimizationAn official publication of EURO: the Association of European Operational Research Societies
Published in collaboration with the Association of European Operational Research Societies (EURO)The open access Article Publishing Charge (APC) fee will be covered by EURO for a limited number of articles submitted by 31st December 2025. Only applicable to articles where the authors institution does not provide open access support. Contact the Journal Manager for more information.The EURO Journal on Decision Processes (EJDP) promotes and publishes scientific knowledge on the theoretical, methodological, behavioural and organizational topics that contribute to the understanding and appropriate use of operational research in supporting different phases of decision making processes. Methodologically, EDJP covers both qualitative and quantitative approaches to the scoping, modelling and solution of decision problems.The scope of EJDP is focussed on the connections between operational research and decision processes. Thus, for instance, EJDP welcomes submissions which (i) present relevant advances in problem structuring, decision analysis and multi-criteria decision aiding, (ii) address questions of process design, model validity and communication in connection with techniques like data mining, forecasting, optimization, simulation, and performance measurement or (iii) provide reflective accounts of decision processes that exemplify uses of operational research in application domains such as energy, engineering, environment, finance, health care and operations management. EJDP primarily publishes original research articles, but surveys and tutorials can be considered as well.Disseminates original research on the contribution of operational research to improved decision making processesContains reflective analyses of applications where operational research has an impact on decision processesIn 2023, submissions of papers on how Operational Research can contribute decision processes for alleviating and mitigate the Big Challenges of today (Climate Change, Corona Crisis, Risk Analysis) are especially welcome.
Published in collaboration with the Association of European Operational Research Societies (EURO)The open access Article Publishing Charge (APC) fee will be covered by EURO for a limited number of articles submitted by 31st December 2025. Only applicable to articles where the authors institution does not provide open access support. Contact the Journal Manager for more information.The EURO Journal on Decision Processes (EJDP) promotes and publishes scientific knowledge on the theoretical, methodological, behavioural and organizational topics that contribute to the understanding and appropriate use of operational research in supporting different phases of decision making processes. Methodologically, EDJP covers both qualitative and quantitative approaches to the scoping, modelling and solution of decision problems.The scope of EJDP is focussed on the connections between operational research and decision processes. Thus, for instance, EJDP welcomes submissions which (i) present relevant advances in problem structuring, decision analysis and multi-criteria decision aiding, (ii) address questions of process design, model validity and communication in connection with techniques like data mining, forecasting, optimization, simulation, and performance measurement or (iii) provide reflective accounts of decision processes that exemplify uses of operational research in application domains such as energy, engineering, environment, finance, health care and operations management. EJDP primarily publishes original research articles, but surveys and tutorials can be considered as well.Disseminates original research on the contribution of operational research to improved decision making processesContains reflective analyses of applications where operational research has an impact on decision processesIn 2023, submissions of papers on how Operational Research can contribute decision processes for alleviating and mitigate the Big Challenges of today (Climate Change, Corona Crisis, Risk Analysis) are especially welcome.
Published in collaboration with the Association of European Operational Research Societies (EURO)The open access Article Publishing Charge (APC) fee will be covered by EURO for a limited number of articles submitted by 31st December 2025. Only applicable to articles where the authors institution does not provide open access support. Contact the Journal Manager for more information.The EURO Journal on Transportation and Logistics offers a forum for the presentation of original mathematical models, methodologies and computational results, focusing on advanced applications in transportation and logistics. The Journal publishes research articles presenting original methodological contributions to the field, including new mathematical models, new algorithms and new simulation techniques, as well as tutorials providing an introduction to an advanced topic, which are designed to ease the use of the relevant methodology by researchers and practitioners.The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is an official publication of EURO: the Association of European Operational Research Societies.This journal is indexed in the Thomson Reuters EMERGING SOURCES CITATION INDEX (WEB OF SCIENCEâ„¢ CORE COLLECTION)
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]
An International Journal in Information Science and Engineering Official Publication of the International Fuzzy Systems Association (IFSA)Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.
Official Publication of the International Institute of ForecastersThe International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at https://www.forecasters.org.The International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field.Topics covered in the International Journal of Forecasting:• Economic and econometric forecasting • Marketing forecasting • New products forecasting • Financial forecasting • Production forecasting • Technological forecasting • Forecasting applications in business, government, and the military • Demographic forecasting • Energy forecasting • Climate forecasting • Crime forecasting • Seasonal adjustments and forecasting • Time series forecasting • Legal and political aspects of forecasting • Implementation of forecasting • Judgmental/psychological aspects of forecasting • Impact of forecast uncertainty on decision making • Organizational aspects of forecasting • Sport forecasting • Machine Learning forecasting • Forecasting methodology • Election forecasting • Big data forecasting Features of the IJF include research papers, research notes, discussion articles, book reviews, editorials and letters.Data and computer programs associated with articles published in the International Journal of Forecasting are provided as online supplements on ScienceDirect.ObjectivityTo ensure fairness and objectivity, double-blind reviewing will be used.Replication studiesThe IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.