Journals in Computer science

21-30 of 181 results in All results

Blockchain: Research and Applications

ISSN: 2096-7209

An official Journal of the Zhejiang University Press Blockchain: Research and Applications is an international, peer reviewed journal for researchers, engineers, and practitioners to present the latest advances and innovations in blockchain research. The journal publishes theoretical and applied papers in established and emerging areas of blockchain research to shape the future of blockchain technology. The emergence and popularity of blockchain techniques have significantly changed the operation and management of digital systems globally. As a result, new applications of blockchain technology exhibit a variety of complex problems which generate new demands and challenges on the research community. Blockchain: Research and Applications seeks to promote community-wide discussion to identify advanced applications, technologies and theories in blockchain research. We seek submissions of papers that detail novel techniques, investigate new applications, introduce advanced methodologies, propose promising research directions and discuss approaches for unsolved issues. Topics of interest include, but are not limited to: Blockchain theories and their evolution, Smart contracts and distributed ledgers, Distributed consensus and fault tolerance mechanisms, Blockchain schemes for decentralization, Issues of security and privacy surrounding blockchain technology, Performance optimization of blockchain and decentralized schemes, Blockchain based protocols and algorithms, Integration of blockchain with other emerging technologies, Permissioned and permissionless blockchains Cryptocurrency adoption and transition dynamics, Transaction graph analysis, Fraud detection and financial crime prevention, Economics and game theoretic analysis of cryptocurrency protocols, Regulation and law enforcement of blockchain technology, Usability and user studies, Legal, ethical and societal aspects of blockchain and related applications Case studies (e.g., of adoption, attacks, forks, scams, ...)

CAAI Transactions on Intelligence Technology

ISSN: 2468-2322

The journal will cover but not limited to the following topics: machine perception and human interaction intelligent information process network intelligence and mobile computing intelligent control and decision robot and intelligent system CAAI Transactions on Intelligence Technology will also carry brief reports on influential international meetings in the field, as well as an occasional multi-author debate on current topics of interest. Forthcoming meetings of importance will be listed. Special issues devoted to a particular topic will be launched un-regularly.

CAAI Transactions on Intelligence Technology

Chip

ISSN: 2709-4723

An official journal of Shanghai Jiao Tong University. Chip is an international journal that publishes innovative research in the emerging field of integrated chips that feature revolutionary information technology. Chip will bridge the boundaries between theory and technology and form the aggregation effect of chip research. It aims to become a competitive top journal with strong international recognition and will serve as a platform for graduate students, professionals, and the engineering industry to jointly boost the cutting-edge information sciences and technologies. The journal focuses on the rapid development and potential application of new-generation information technologies. These include but are not limited to the following fields: •Quantum information: quantum algorithm, quantum machine learning, analog quantum computing, quantum circuits, quantum annealing •New types of Non-von Neumann computing and post-Moore devices: photonic computing, neuromorphic computing, other promising classical (not quantum) computing technologies •Internet of things and edge computing: advanced sensors, wireless signal transmission, low-power computing, energy harvesting, biomedical systems •Big Data and artificial intelligence: innovative hardware and architecture for data mining, information retrieval, machine learning, natural language processing, computer vision, robotics •Interdisciplinary area related to chip issues: new chip materials, new device manufacturing techniques, algorithm and architecture of chips. The Print ISSN of the journal is 2709-4723.

Cognition

ISSN: 0010-0277
5 Year impact factor: 4
Impact factor: 3.4

International Journal of Cognitive Science Cognition is an international journal that publishes theoretical and experimental papers on the study of the mind. It covers a wide variety of subjects concerning all the different aspects of cognition, ranging from experimental studies of behavior and of the brain to formal analysis. Papers will be selected on the basis of their scientific quality, their degree of innovation and their unambiguous theoretical advance to the study of cognition. Paper's overall soundness of the argument and degree of empirical motivation, especially from converging sources, are more important than adherence to specific methodological principles. Studies that selectively focus on the cognitive and neural mechanisms that underlie problems with cognition in clinical populations or on purely methodological questions fall outside the scope of Cognition. Because Cognition enjoys a wide readership from many disciplines, authors should explicitly consider the general theoretical issues raised by their work and its relevance to other topics and methods. Materials should describe work done and methods used in a clear and explicit manner (allowing reproduction of the methods by others). Cognition occasionally publishes special issues devoted to a research area that has seen rapid recent progress, promising new approaches, and convergence among different disciplines. Contributions: • Full theoretical and experimental papers on the study of the mind. •Brief articles reporting original empirical findings, major theoretical advances or crucial developments that warrant rapid communication to the scientific community •Proposals for special issues on a new and important area in the field •Discussions Reviewers please refer to Editorial Policy on Reviewing for Cognition. Cognition publishes many of the most important papers in cognitive science and is the premier international and interdisciplinary journal in the field. It is required reading for anyone who wishes to keep up to date in this exciting research area.

Cognitive Robotics

ISSN: 2667-2413

Cognitive Robotics merges two research fields, physical systems and control architectures. The physical systems are designed to adapt to dynamic environments while the control architectures explicitly take into account the need to acquire and exploit past experiences. It paves the way for machines to have reasoning abilities which is analogous to human. The research field of cognitive robotics is interdisciplinary, and uses knowledge and methods from many areas such as psychology, biology, signal processing, physics, information theory, mathematics, and statistics. The development of cognitive robotics will keep cross-fertilizing these research areas. This journal aim to collect the state-of-the-art contributions on the Computational Neuroscience, Computational Cognition and Perception, Computer Vision, Natural Language Processing, Human Action Analysis, and related applications in robotics.

Cognitive Systems Research

ISSN: 1389-0417
5 Year impact factor: 3.8
Impact factor: 3.9

Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies. Note that the journal does not publish clinical and medical papers. We also do not publish pure machine learning papers, e.g. studies proposing variants of classifiers or pure algorithmic improvements that bear no connection to cognitive systems research in the sense above. Additionally, Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA AI (Brain-Inspired Cognitive Architectures for Artificial Intelligence) related topics each year.

Computational Geometry

ISSN: 0925-7721
5 Year impact factor: 0.6
Impact factor: 0.6

Theory and Applications Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical, combinatorial and computational topology aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems.Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.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

Computational Statistics & Data Analysis

ISSN: 0167-9473
5 Year impact factor: 1.8
Impact factor: 1.8

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: 1) 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), 2) 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: 1) novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental 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. 2) 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).

Computational Statistics & Data Analysis

Computer Aided Geometric Design

ISSN: 0167-8396
5 Year impact factor: 1.6
Impact factor: 1.5

The journal Computer Aided Geometric Design is for researchers, scholars, and software developers dealing with mathematical and computational methods for the description of geometric objects as they arise in areas ranging from CAD/CAM to robotics and scientific visualization. The journal publishes original research papers, survey papers and with quick editorial decisions short communications of at most 3 pages. The primary objects of interest are curves, surfaces, and volumes such as splines (NURBS), meshes, subdivision surfaces as well as algorithms to generate, analyze, and manipulate them. This journal will report on new developments in CAGD and its applications, including but not restricted to the following: Mathematical and Geometric Foundations Curve, Surface, and Volume generation CAGD applications in Numerical Analysis, Computational Geometry, Computer Graphics, or Computer Vision Industrial, medical, and scientific applications The aim is to collect and disseminate information on computer aided design in one journal. To provide the user community with methods and algorithms for representing curves and surfaces. To illustrate computer aided geometric design by means of interesting applications. To combine curve and surface methods with computer graphics. To explain scientific phenomena by means of computer graphics. To concentrate on the interaction between theory and application. To expose unsolved problems of the practice. To develop new methods in computer aided geometry. Reproducibility Badge Initiative and Software Publication Reproducibility Badge Initiative (RBI) is a collaboration with the Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI. Software Impacts 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 (OSP) which describe the application of the software to research and the published outputs. How to submit an article to Software Impacts: https://www.journals.elsevier.com/software-impacts/ For more information contact us at: [email protected] 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

Computer Communications

ISSN: 0140-3664
5 Year impact factor: 4.8
Impact factor: 6

The International Journal for the Computer and Telecommunications Industry Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today's computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms.Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications. Topics include, but are not limited to: BlockchainEmerging technologies for next generation network LAN/WAN/MAN Future Internet architecture, protocols and services Content- and service-centric architecture Mobile and ubiquitous networks Self organizing/autonomic networking Green networking Internet content search QoS and multimedia networking Opportunistic networking On-line social networks Internet of things Public safety communication networks Network applications (web, multimedia streaming, VoIP, gaming, etc.) Trust, security and privacy in computer and communication networks Modeling, measurement and simulation Complex network models Internet socio-economic models Experimental test-beds and research platforms Algorithmic aspects of communication networks Network scaling and limits