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Journals in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Data & Knowledge Engineering

    • ISSN: 0169-023X
    Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:Representatio... and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.Architect... of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.Constr... of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/m... issues.Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.Communica... aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.
  • Annals of Pure and Applied Logic

    • ISSN: 0168-0072
    The journal Annals of Pure and Applied Logic publishes high quality papers in all areas of mathematical logic as well as applications of logic in mathematics, in theoretical computer science and in other related disciplines. All submissions to the journal should be mathematically correct, well written (preferably in English)and contain relevant new results that are of significant interest to a substantial number of logicians. The journal also considers submissions that are somewhat too long to be published by other journals while being too short to form a separate memoir provided that they are of particular outstanding quality and broad interest. In addition, Annals of Pure and Applied Logic occasionally publishes special issues of selected papers from well-chosen conferences in pure and applied logic.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.
  • International Journal of Approximate Reasoning

    • ISSN: 0888-613X
    Uncertainty in Intelligent SystemsThe International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.The journal is affiliated with the Society for Imprecise Probability: Theories and Applications (SIPTA), and Beliefs functions and Applications Society (BFAS).
  • Journal of Industrial Information Integration

    • ISSN: 2452-414X
    The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization. These topics encompass not only hardware and software, but also information integration. Industrial information integration engineering is an emerging subject. This journal aims to promote and communicate advances in industrial information integration in order to provide insights into challenges, issues, and solutions related to industrial integration and industrial informatization through an interdisciplinary forum for researchers, practitioners, and policy makers.Journal of Industrial Information Integration welcomes papers on the foundational, technical, and practical aspects of industrial information integration, while also welcoming the complex and cross-disciplinary topics of industrial information integration that arise in industrial integration. Techniques developed in mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management used in industrial integration and industrial informatization are integral to this journal. Occasionally the journal may publish white papers on policies, standards, and best practices regarding industrial information integration, industrial integration, industrial informatization, and industrial informatics.
  • Computers & Security

    • ISSN: 0167-4048
    The International Source of Innovation for the Information Security and IT Audit ProfessionalComputer... & Security is one of the most respected journals in IT security, being recognized worldwide as THE primary source of reference for IT security research and applications expertise.Computers & Security provides the IT security community with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia - helping the community build and operate fully secure systems and organisations.With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world.Our cutting edge research will help you secure and maintain your systemsWe accept only the highest quality of papers ensuring that you receive the relevant and practical advice you needWe don't only highlight the threats, we give you the solutionsCryptology: The journal's editorial scope has explicitly excluded cryptology since 2006. Therefore, submissions with some aspect of cryptology (including blockchains, watermarking, and steganography) as a principal component will not be considered for review.AI and ML: As of early 2024, we have instituted a moratorium on consideration of submissions that feature AI or ML as significant components. Thus, submissions about applying an AI/ML technique to system security and privacy topics will not be considered. Also, items directed to the security of AI/ML systems themselves (such as LLM and federated learning) are out of scope of the journal and should be submitted to a venue primarily about AI/ML.
  • Future Generation Computer Systems

    • ISSN: 0167-739X
    The International Journal of eScienceComputing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative. Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).The Aims and Scope of FGCS cover new developments in:[1] Applications and application support:Novel applications for novel e-infrastructuresCom... workflow applicationsBig Data registration, processing and analysesProblem solving environments and virtual laboratoriesSemantic and knowledge based systemsCollaborative infrastructures and virtual organizationsMethods for high performance and high throughput computingUrgent computingScientific, industrial, social and educational implicationsEducatio... Methods and tools:Tools for infrastructure development and monitoringDistribute... dynamic resource management and schedulingInformatio... managementProtocols and emerging standardsMethods and tools for internet computingSecurity aspects[3] Theory:Process specification;Progra... and algorithm designTheoretical aspects of large scale communication and computationScaling and performance theoryProtocols and their verification
  • 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.
  • Swarm and Evolutionary Computation

    • ISSN: 2210-6502
    Introduction: To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest: Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applica... Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.Software publication We 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...
  • International Journal of Child-Computer Interaction

    • ISSN: 2212-8689
    The International Journal of Child-Computer Interaction serves as a forum to communicate original, high-quality research in child-computer interaction and interaction design and children. IJCCI employs a double-blind review process, utilizing a minimum of two (2) referees. The journal welcomes contributions on the following topics:• New methods for working with children in design, evaluation and research; • Models that help designers and researchers better understand children and their relationships with technology; • Interaction design cases that demonstrate novel and well designed technologies for children; • Studies of how children interact with and through technology; • Research about the use of, and the design of, technologies for play, learning, sociality and communication; • Reviews of the literature, theories around child development and technology design; • Studies of gaming and the application of serious games theories to children's technologies; • Evaluation studies of new and emerging technologies designed for children.
  • Neurocomputing

    • ISSN: 0925-2312
    Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.NEW! Neurocomputing's Software Track allows you to expose your complete Software work to the community through a novel Publication format: the Original Software PublicationOverview:... welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.Neurocom... covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).Neurocom... reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.Types of publications:Neuroco... publishes reviews of literature about neurocomputing and affine fields.Neurocomputin... reports on meetings, including, but not restricted to, conferences, workshops and seminars.NEW! The Neurocomputing Software TrackNeurocomputing Software Track publishes a new format, the Original Software Publication (OSP) to disseminate exiting and useful software in the areas of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. We encourage high-quality original software submissions which contain non-trivial contributions in the above areas related to the implementations of algorithms, toolboxes, and real systems. The software must adhere to a recognized legal license, such as OSI approved licenses.Importantly... the software will be a full peer reviewed publication that is able to capture your software updates once they are released. To fully acknowledge the author's/developers work your software will be fully citable as an Original Software Publication, archived and indexed and available as a complete online "body of work" for other researchers and practitioners to discover.See the detailed Submission instructions, and more information about the process for academically publishing your Software: here