Journals in Computer science

151-160 of 181 results in All results

Parallel Computing

ISSN: 0167-8191
5 Year impact factor: 1.2
Impact factor: 1.4

Systems & Applications Researchers interested in submitting a special issue proposal should adhere to the Submission Guidelines. Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems. Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results. Particular technical areas of interest include, but are not limited to: System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing). Enabling software including debuggers, performance tools, and system and numeric libraries. General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems Software engineering and productivity as it relates to parallel computing Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism Performance measurement results on state-of-the-art systems Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures. Parallel I/O systems both hardware and software Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications 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

Pattern Recognition

ISSN: 0031-3203
5 Year impact factor: 8.4
Impact factor: 8

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. 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

Pattern Recognition Letters

ISSN: 0167-8655
5 Year impact factor: 4.8
Impact factor: 5.1

An official publication of the International Association for Pattern Recognition Pattern 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. Research 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.

Patterns

ISSN: 2666-3899
5 Year impact factor: 6.5
Impact factor: 6.5

Patterns is a premium open access journal from Cell Press, publishing ground-breaking original research across the full breadth of data science. We?re all about sharing data science solutions to problems that cross domain boundaries. Accessible Good solutions deserve a big audience Patterns reaches a broad, global audience of computer scientists, researchers in data intensive domains, data stewards, and policy makers. We adhere to the FAIR Principles to make sure that the data, software, workflows, algorithms, and other research outputs we publish are findable, accessible, interoperable, and reusable. Boundaryless Good insights fuel action in all domains Patterns is the home for data scientists and researchers in data-intensive fields in both academia and industry. The journal shares data science solutions across the spectrum of disciplines, including computational, physical, life, and social sciences, and the humanities. Constructive Good decisions need good data Patterns publishes ground-breaking data science research that is both theoretical and practical. We ensure that the research reported in our articles is quality controlled through rigorous, cross-domain peer-review. Patterns brings together research from across domains in academia and industry to: - Share knowledge about how to best develop and run data science infrastructures, tools, and services -Communicate solutions and best practices for data science algorithms and methodologies -Discuss the human and environmental impact of decisions made using data science -Develop new cross-disciplinary methods for efficient data analysis, processing, archiving, and use Patterns publishes original research in data science, particularly focusing on solutions to the cross-disciplinary problems that all researchers face when dealing with data, and articles about datasets, software code, algorithms, infrastructures, etc., with permanent links to these research outputs. Patterns also promotes cross-community conversation by publishing opinion pieces and review articles. Patterns is committed to the high-quality publishing values shown by its sister journals in Cell Press. Patterns will publish top-tier original research and provide a fair, rapid, and rigorous peer-review process via a dedicated team of professional editors, supported by the expertise of our scientific advisory board. Visit the Cell Press website for more information about Patterns - http://www.cell.com/patterns/home

Performance Evaluation

ISSN: 0166-5316
5 Year impact factor: 2.1
Impact factor: 2.2

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 techniques Provide new insights into the performance of computing and communication systems Present novel control and learning methods for performance management Introduce 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 configuration System reliability and dependability Energy efficiency and energy harvesting System 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 centers Cloud, IoT, edge, and cyber-physical systems Social networks, social media, metaverse AI-based services Big data and storage systems Blockchain and distributed ledgers Autonomous and self-organizing systems Embedded systems Commonly featured performance evaluation methods and techniques include: Stochastic models (e.g., queueing theory, mean-field models, stochastic geometry,... Data-driven methods (e.g., AI/machine learning, inference, statistical analysis, ...) Scheduling and load balancing theory Simulation methods Game theory and pricing Measurement 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. 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

Pervasive and Mobile Computing

ISSN: 1574-1192
5 Year impact factor: 3.4
Impact factor: 4.3

Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system. Proposals submitted via any other means will not be considered for review. For more information on how to prepare and submit a SI proposal please check https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposal. Aims and Scope As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to: Pervasive Computing and Communications Architectures and Protocols Pervasive, Mobile and Wearable Computing Systems and Services Cyber-Physical Systems and Cyber-Physical-Human Systems Smart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.) Human-centric Intelligent Systems Cognitive Computing Trustworthy AI in Pervasive Systems Machine Learning and Deep Learning in Pervasive and Mobile Computing Federated, Distributed and Embedded learning, Learning at-the-edge in Pervasive Systems Learning on Streaming Data and Continual Learning in Pervasive and Mobile Systems Big Data and Data Analytics in Pervasive Computing Systems Internet of Things and Social Internet of Things Internet of People and Internet of Vehicles Edge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile Systems Enabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks) Wireless Sensors Networks and RFID Technologies Urban Sensing and Mobile Crowdsensing Participatory and Social Sensing Machine-to-Machine and Device-to-Device Communications Positioning, Localization and Tracking Technologies Activity Recognition and Tracking Context-aware Computing Location-based Services and Applications Pervasive Service Creation, Composition, Discovery, Management, and Delivery Human User Interfaces and Interaction Models Trust, Reliability, Security, and Privacy in Pervasive and Mobile Computing Systems Performance Evaluation of Pervasive and Mobile Computing Systems

Physica D: Nonlinear Phenomena

ISSN: 0167-2789
5 Year impact factor: 3.1
Impact factor: 4

Physica D (Nonlinear Phenomena) publishes research and review articles reporting on theoretical and experimental work, techniques, and ideas that advance the understanding of nonlinear phenomena. The scope of the journal encompasses mathematical methods for nonlinear systems including: wave motion, pattern formation and collective phenomena in physical, chemical and biological systems; hydrodynamics and turbulence; integrable and Hamiltonian systems; and data-driven dynamical systems. The journal encourages submissions in established and emerging application domains, for example applications of nonlinear science to artificial intelligence, robotics, control theory, complex networks, and social and economic dynamics.

Physical Communication

ISSN: 1874-4907
5 Year impact factor: 1.9
Impact factor: 2.2

PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing. 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

Power Electronic Devices and Components

ISSN: 2772-3704

Power Electronic Devices and Components (PEDC) is an open-access journal specifically focusing on power-electronic devices and components, including materials, fabrication, design, characterization, and applications. On top of that, PEDC aims at being a timely and powerful tool to create a new synergy between the power-device- and the power-electronics community. The coverage of the journal includes the following topics: Active power components: design and fabrication process, physics and characterization, FEM- and compact modeling, packaging and related issues, failure mechanisms, and reliability, extreme conditions, emerging power devices; Passive power components: capacitors, inductors and transformers, printed circuit boards, fuses, and ancillary components; Related topics in the field of power components: gate drivers and disruptive applications, e.g. 10 kV and higher, energy harvesting, condition monitoring, and EMI in power electronics. PEDC publishes Research Papers, describing significant advances and completed work. Review Papers are welcome to report on important and developing topics of general interest. Practical papers reporting case studies and specific application domains are particularly encouraged. All contributions are subject to rigorous peer review by leading experts in the field. Special issues devoted to emerging topics and premium international conferences should be proposed to the Editors-in-Chief for consideration.