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Journals in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

  • Fuzzy Sets and Systems

    • ISSN: 0165-0114
    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.
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  • Computational Statistics & Data Analysis

    • ISSN: 0167-9473
    The Official Journal of the Network Computational and Methodological Statistics (CMStatistics) and the International Association of Statistical Computing (IASC)Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:I) Computational Statistics - Manuscripts dealing with:the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.II) Statistical Methodology for Data Analysis - Manuscripts dealing with: novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmenta... interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures. Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (social sciences, marketing, psychometrics, chemometrics, signal processing, medical statistics, environmentrics, statistical physics).IV) Statistical Data Science - The manuscripts concern with well-founded theoretical and applied data-driven research, with a significant computational or statistical methodological component for data analytics. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software. This journal section serves as a complementary component to the network Computational and Methodological Statistics (CMStatistics).
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  • International Journal of Non-Linear Mechanics

    • ISSN: 0020-7462
    The International Journal of Non-Linear Mechanics provides a specific medium for the dissemination of high-quality research results in the various areas of applied, theoretical, and experimental nonlinear mechanics of solids, structures, and systems, where the phenomena are inherently nonlinear. The journal brings together original results in nonlinear elasticity, dynamics, nonlinear vibrations, wave propagation, rheology, nonlinear mechanics and stability of structures, smart structures, nonlinear vibration control and isolation, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, MEMS and NEMS, mechanics of traditional and advanced materials, mechanics of soft materials and soft robots, metamaterials, and other diverse areas, including multi-physics when nonlinear mechanics is relevant. Papers may be analytical, computational, or experimental in nature. Model validation is considered relevant for publication in this journal. Treatments of nonlinear differential equations wherein solutions are emphasized, but mechanical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions to both established and emerging fields are encouraged.
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  • Journal of the Franklin Institute

    • ISSN: 0016-0032
    Engineering and Applied MathematicsAs the second oldest continuously published American journal devoted to science and technology, the Journal of The Franklin Institute has an established reputation for publishing high quality papers in the field of engineering and applied mathematics.As a peer-reviewed journal, its goal is to promote inspiring advancements in the fields of engineering and applied mathematics by voices from the scientific and academic communities.As of 2022, the Journal of The Franklin Institute has expanded its content focus to include research under the field of Data Science. The journal welcomes high quality original manuscript submissions that fall under three main topic areas:Control Systems Complex Networks & Dynamic SystemsData Science & Signal ProcessingAside from original manuscripts, the Journal of The Franklin Institute encourages authors to put forth evolving new special issue proposals for publication, provided they fall broadly within the scope of the journal. Special issues with a strong conceptual foundation in newly evolving topics are continuously planned for future issues. These special issues are reviewed based on their novelty and possible lasting value to the field of study.
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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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  • Neural Networks

    • ISSN: 0893-6080
    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.
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  • European Journal of Operational Research

    • ISSN: 0377-2217
    Published in collaboration with the Association of European Operational Research Societies (EURO)The European Journal of Operational Research (EJOR) publishes high quality, original papers that contribute to the methodology of operational research (OR) and to the practice of decision making. EJOR contains the following types of papers:Invited Reviews, explaining to the general OR audience the developments in an OR topic over the recent years Innovative Applications of OR, describing novel ways to solve real problems Theory and Methodology Papers, presenting original research results contributing to the methodology of OR and to its theoretical foundations, Short Communications, if they correct important errors found in papers previously published in EJORThe Theory and Methodology Papers are classified into one of the seven headings:Continuous OptimizationDiscrete OptimizationProducti... Manufacturing and LogisticsStochastics and StatisticsDecision SupportComputational Intelligence and Information ManagementInterfaces with Other Disciplines
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  • Pattern Recognition

    • ISSN: 0031-3203
    Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably.The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.
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  • Annual Reviews in Control

    • ISSN: 1367-5788
    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.
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  • International Journal of Forecasting

    • ISSN: 0169-2070
    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.forecast... 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/psycholog... 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.Object... To ensure fairness and objectivity, double-blind reviewing will be used.Replication studies The 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.
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