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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.

  • Robotics and Autonomous Systems

    • ISSN: 0921-8890
    Affiliated with the Intelligent Autonomous Systems (IAS) SocietyRobotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.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
  • 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
  • Ad Hoc Networks

    • ISSN: 1570-8705
    The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to:Mobile and Wireless Ad Hoc NetworksSensor NetworksWireless Local and Personal Area NetworksHome NetworksAd Hoc Networks of Autonomous Intelligent SystemsNovel Architectures for Ad Hoc and Sensor NetworksSelf-organiz... Network Architectures and ProtocolsTransport Layer ProtocolsRouting protocols (unicast, multicast, geocast, etc.)Media Access Control TechniquesError Control SchemesPower-Aware, Low-Power and Energy-Efficient DesignsSynchronizati... and Scheduling IssuesMobility ManagementMobility-T... Communication ProtocolsLocation Tracking and Location-based ServicesResource and Information ManagementSecurity and Fault-Tolerance IssuesHardware and Software Platforms, Systems, and TestbedsExperimental and Prototype ResultsQuality-of-Se... IssuesCross-Layer InteractionsScalabil... IssuesPerformance Analysis and Simulation of Protocols
  • Journal of Computational Science

    • ISSN: 1877-7503
    Computational Science is a rapidly growing multi- and interdisciplinary field. It develops mathematical and computational models and uses advanced computing techniques to simulate these models, driven by data. Its overarching goal is to understand and solve complex problems. It has reached a level of predictive and interventional capability that now firmly complements the traditional pillars of experimentation and theory.The recent advances in experimental techniques have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data-driven modeling and simulation which is no longer feasible using traditional analytical approaches alone.This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.Computationa... science typically unifies three distinct elements:• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).The Journal of Computational Science aims to be an international platform to exchange novel research results in simulation-based science across all scientific disciplines. It publishes advanced innovative, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices.The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.
  • 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.
  • Information Fusion

    • ISSN: 1566-2535
    An International Journal on Multi-Sensor, Multi-Source Information FusionThe journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:Data/Image, Feature, Decision, and Multilevel Fusion Multi-classifier/Dec... Systems Multi-Look Temporal Fusion Multi-Sensor, Multi-Source Fusion System Architectures Distributed and Wireless Sensor Networks Higher Level Fusion Topics Including Situation Awareness And Management Multi-Sensor Management and Real-Time ApplicationsAdaptive And Self-Improving Fusion System Architectures Active, Passive, And Mixed Sensor Suites Multi-Sensor And Distributed Sensor System Design Fusion Learning In Imperfect, Imprecise And Incomplete EnvironmentsIntellig... Techniques For Fusion Processing Fusion System Design And Algorithmic Issues Fusion System Computational Resources and Demands Optimization Special Purpose Hardware Dedicated To Fusion Applications Mining Remotely Sensed Multi-Spectral/Hyper... Image Data Bases Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.
  • Pattern Recognition Letters

    • ISSN: 0167-8655
    An official publication of the International Association for Pattern RecognitionPattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:• Statistical, structural, syntactic pattern recognition; • Neural networks, machine learning, data mining; • Discrete geometry, algebraic, graph-based techniques for pattern recognition; • Signal analysis, image coding and processing, shape and texture analysis; • Computer vision, robotics, remote sensing; • Document processing, text and graphics recognition, digital libraries; • Speech recognition, music analysis, multimedia systems; • Natural language analysis, information retrieval; • Biometrics, biomedical pattern analysis and information systems; • Special hardware architectures, software packages for pattern recognition.We invite contributions as research reports or commentaries.Researc... reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications. Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
  • Optics & Laser Technology

    • ISSN: 0030-3992
    Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication.The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systemsThe Journal publishes and, from time to time commissions, review articles pertaining to important areas of optical and laser technology. Short communications and technical notes are also published. Short papers for rapid communication of important innovations or observations will receive fast-track treatment.Optics & Laser Technology aims to provide the widest possible coverage of world research and development in its chosen field.
  • Computers & Electrical Engineering

    • ISSN: 0045-7906
    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.
  • Computers in Industry

    • ISSN: 0166-3615
    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