Journals in Computer science
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.
- ISSN: 0893-6080
Neural Networks
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.Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.INNS members receive additional support with a further 25% contribution from the INNS towards their open access article processing charges for accepted papers. If you are an INNS member, please submit this web form to receive reimbursement for 25% of your open access article processing charges. You will be asked to submit a PDF copy of your acceptance and production email, as well as a Wire Transfer Form.
- ISSN: 1878-7789
Nano Communication Networks
The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published.Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal. Created in 2010, NANOCOMNET has four planned issues per year. In early 2016, the journal has been accepted by Thompson Reuters to have SCIE/ISI status, matching the status of the rest of the COMNET family.Topics of interest include but are not limited to:Molecular Communication • Passive Molecular Communication systems, including short-range molecular diffusion, guided molecular diffusion (e.g. circulatory systems communications, microfluidic communications), ion signaling, and pheromone communications. • Active Molecular Communication systems, such as molecular motors, bacteria-based nanonetworks. • Brain networks, neural circuits and nervous systems communications. • Synthetic biology for Molecular Communication development.Electrom... Nanoscale Communication • Plasmonic and nanophotonic devices for THz and optical communication based on nanomaterials (e.g., graphene) and metamaterials, including compact signal sources, modulators/demodulat... detectors and antennas and antenna arrays. • Ultra-broadband and Terahertz communications, with applications at the nano-, micro- and macro-scales. • Nanophotonic wired and wireless communications at infra-red, visible and ultra-violet spectrum ranges.Other nanoscale communication paradigms • Nano Communication for bio-therapeutic devices. • Quantum communications. • Ultrasonic communications.Nano communication engineering and networking • Architectures and systems for Nano Communications. • Propagation and channel modeling for Nano Communications. • Information Theory of Nano Communications. • Communication protocols for Nano networks. • Security in Nano Communications. • Energy models for Nano Communications. • Software-Defined Nanonetworks.Nano Communication experimental and simulation platforms • Tools for modeling and simulating Nano Communication Networks. • Wet lab experimental platforms for Molecular Communications. • New fabrication and assembly techniques for Electromagnetic nanoscale devices. • Synthetic Biology toolsets for engineering Molecular Communications (e.g. Openwetware, CRISPR).Applications of Nano Communications and networks • Internet of Nano Things and the Internet of Bio-Nano Things. • Network on Chip including RF and optical interconnects, as well as network architectures and topologies. • Nano-Sensor and Nano-Actuator Networks. • Nanomedicine applications: disease localization, targeted drug delivery, tissue engineering.
- ISSN: 0167-9236
Decision Support Systems
and Electronic CommerceThe common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area.Examples of research topics that would be appropriate for Decision Support Systems include the following:1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed.2. DSS Functionality e.g. methods, tools, and techniques for developing thefunctional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product.3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality.4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training... A critical consideration must be how specific experiences provide more general implications.5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.
- ISSN: 0967-0661
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: 0166-5316
Performance Evaluation
Performance Evaluation is a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire field of performance evaluation. The journal audience encompasses academics, industrial researchers, and professional figures such as performance engineers, network managers, and computer system designers.The journal solicits from its audience papers that focus on one or more of the following dimensions: Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniquesProvide new insights into the performance of computing and communication systemsPresent novel control and learning methods for performance managementIntroduce new application areas where performance evaluation tools and methods can play an important role Contributions to the journal often focus on theoretical, methodological, or applied aspects of:Resource allocation (e.g., routing and flow control, bandwidth allocation, load-balancing, deployment,...System tuning, sizing and optimal configurationSystem reliability and dependabilityEnergy efficiency and energy harvestingSystem architecture design and implementation Application areas of interest include, but are not limited to, the following:Computer and communication networks (e.g., software-defined, wireless, cognitive radio, ad-hoc, quantum,...Data centersCloud, IoT, edge, and cyber-physical systemsSocial networks, social media, metaverseAI-based servicesBig data and storage systemsBlockchain and distributed ledgersAutonomous and self-organizing systemsEmbedded systems Commonly featured performance evaluation methods and techniques include:Stochastic models (e.g., queueing theory, mean-field models, stochastic geometry,...Data-dri... methods (e.g., AI/machine learning, inference, statistical analysis, ...)Scheduling and load balancing theorySimulation methodsGame theory and pricingMeasurement techniques (e.g. software and hardware monitors) and workload characterization Note that the above lists are not all inclusive or restrictive and submissions with creative applications of performance evaluation tools outside of those above and/or applications outside of those above are also welcome.A variety of types of submissions are possible, primarily original work, tutorials & surveys. All submissions are expected to position their contributions against relevant prior work in the field, including articles published in recent years by the journal. A complete list of PEVA articles may be found <a href="https://dblp.o... 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
- ISSN: 0010-4485
Computer-Aided Design
Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods of design. The term "design" is to be understood broadly to encompass conceptualization, synthesis, realization, and evolution of artifacts, processes, and systems (both natural and artificial).Computer... Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design from concept creation to manufacture and beyond. Contributions are welcome from all disciplines and application areas, provided that they have a significant geometric, topological, spatial, or configuration design content, and present developments likely to be of interest to a broad spectrum of researchers, educators, and practitioners of computer-aided design. In this context, examples of relevant topics include but are not limited to:Foundational theories, frameworks, methodologies, and standardsMathematica... models, representations, and algorithms for shapes, solids, structures, and assembliesMaterial, behavior, and physical modelingConceptual design and inventionUncertainty and imprecision in computer-aided designMulti-scale modeling and design of shape and material structuresSystem level design and model-based systems engineeringProgramma... subtractive, additive, and hybrid manufacturingGenerat... design, shape, topology, and material optimizationComputat... planning, fabrication, and inspectionDiscretiza... and meshing algorithmsData acquisition, model recognition and reconstructionRepres... conversions and interoperabilityAppl... of AI in design, including neural networks and machine learningDesign ontologies, grammars, languages, and semanticsData driven modeling and synthesisAdvanced support of manufacturing and downstream activitiesTechnologi... in support of digital factory and digital twin conceptsUser interfaces, system interfaces, and human-computer interactionDesign databases, knowledge repositories, object libraries and retrievalSpecific applications and significant benchmarks of computer-aided designTypes of Papers:Research papers: report significant research and development results, describe the relevant theoretical foundations and methodology, and present workable algorithms and give examples taken from real world applications, stressing the significance of the approach being presented.Applicatio... papers: describe complex and pioneering applications of CAD concepts, methods and tools in practice, present significant results that extend the disciplinary knowledge and/or analyze the application in a way that is likely to stimulate and influence further research.Survey papers: critically analyze the current state of knowledge in a given field of CAD, summarize and organize recent research results in a novel way, derive new insights and deepen understanding of those working in the field, and propose possible topics, orientations and approaches for future research and development.Technica... notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application.Dataset papers: discuss creation, documentation, and critical assessment of data sets, repositories, and their uses supporting research and practice in all areas of computer-aided design. An algorithmic contribution is not required for a dataset paper, but the dataset itself must be made freely usable and accessible for research purposes. Dataset papers will go through the same rigorous review process and will be evaluated based on their novelty, impact, and presentation. Accessibility, privacy, and ethics are also important issues that will be considered by the reviewers and editors.
- ISSN: 1567-4223
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge.Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.E-commerce is a multi-disciplinary area, which should be developed in co-operation with existing fields such as Information Systems and Technology; Computing and Informatics; Marketing, Finance and Supply Chain Management; Business Strategy and Management; Artificial Intelligence/Machine Learning; Data Science and Business Data Analytics; Public Policy; and Legal Studies. We will solicit papers on current technologies from these areas, as well as publish papers on completely new topics. We also seek proposals for special issues on new topics in e-commerce that will create new directions for research.Electronic Commerce Research and Applications is inviting submission of articles, including but not limited to the following topics:Agent-based commerce; electronic auctions; e-business models; B2C and B2B EC; consumer behavior; customer relationship management and data mining; recommender systems; Internet search engines and Web mining; big data analytics; social media and commerce analytics; responsible and trustworthy artificial intelligence; pricing and marketing; digital economy and digital transformation; e-government, public policy and digital divide issues; electronic payment systems; sharing economy; (IT and e-services; exchanges and electronic marketplaces;) e-commerce in supply chain and inventory management; legal issues in e-commerce; (industry studies and case analysis;) economic and management science modeling; organizational and theory-building research; empirical studies of e-commerce problems; behavioral studies of e-commerce issues; protocols, technology and process standards for e-commerce; (transformation of industries;) security and trust; credit card and smart card applications; mobile-commerce and ubiquitous computing; inter-organizational systems in e-commerce; emerging technologies and technological innovation.
- ISSN: 0957-4158
Mechatronics
Mechatronics: The Science of Intelligent MachinesA journal of IFAC, The International Federation of Automatic Control.Mechatronics is an international refereed journal that publishes articles that report advances in the state-of-the-art in Mechatronics and Robotics. We welcome original submissions that report creative or innovative methodology and solutions with a synergistic combination of mechanical engineering, electrical and electronic engineering, control systems, data engineering and AI for intelligent machines or robotic systems. Submitted manuscripts are expected to report experimental results obtained from laboratory or full-scale mechatronic apparatus. Some of the topics addressed in the published articles include:Mechatronics... identification and control of mechatronic systems; motion and vibration control; solutions for machines towards autonomy; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics:M... control, learning and system issues related to: autonomous vehicles and robots, marine, underwater, and aerial robots, legged robots, soft robots, field robots, industrial robots, medical robots; human-robot interaction; collaborative and autonomous systems; teleoperation; haptics; and multi-robot systems.
- ISSN: 0167-9473
Computational Statistics & Data Analysis
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).
- ISSN: 1568-4946
Applied Soft Computing
The Official Journal of the World Federation on Soft Computing (WFSC) http://www.softcompu... Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application, advance and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Swarm Intelligence and other similar techniques to address real world complexities.Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.Major Topics:The scope of this journal covers the following soft computing and related techniques, interactions between several soft computing techniques, and their industrial applications:Evoluti... ComputingFuzzy ComputingHybrid MethodsImmunological ComputingNeuro ComputingSwarm IntelligenceMachine and Deep LearningRough SetsThe application areas of interest include but are not limited to applications of soft computing to:Agricultural Machinery, Smart FarmingAutonomous ReasoningBig Data, IoT, Edge ComputingCombinatori... OptimizationData MiningDecision SupportEngineering Design OptimizationFault DiagnosisFinanceHuma... InterfaceIntelligent AgentsManufacturing SystemsPower ElectronicsMulti-obj... OptimizationPower and EnergyProcess and System ControlRoboticsSecur... SystemsSignal or Image ProcessingSoftware EngineeringSupply Chain EconomySystem Identification and ModellingTelecommuni... Series PredictionExtended Reality, Metaverse, Digital TwinsVision or Pattern RecognitionAuthors are welcome to submit letters promoting original soft computing research to Applied Soft Computing's open access companion title, Systems and Soft Computing.