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.
Information Processing Letters
Devoted to the Rapid Publication of Short Contributions to Information ProcessingInformatio... Processing Letters invites submission of original research articles that focus on fundamental aspects of information processing and computing. This naturally includes work in the broadly understood field of theoretical computer science; although papers in all areas of scientific inquiry will be given consideration, provided that they describe research contributions credibly motivated by applications to computing and involve rigorous methodology. High quality experimental papers that address topics of sufficiently broad interest may also be considered.Since its inception in 1971, Information Processing Letters has served as a forum for timely dissemination of short, concise and focused research contributions. Continuing with this tradition, and to expedite the reviewing process, manuscripts are generally limited in length to nine pages when they appear in print.More detailed information about the topics of interest and submission format can be found in the Guide for Authors.- ISSN: 0020-0190
Applied Mathematical Modelling
Applied Mathematical Modelling focuses on significant and novel scientific developments for mathematical modelling and computational methods and tools for engineering, industrial and environmental systems and processes leading to future innovations and novel technologies.The topics considered are: heat transfer, fluid mechanics, computational fluid dynamics and electromagnetics, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and magnetohydrodynamics... reliability modelling and system optimization; modelling of inventory, industrial, manufacturing and logistics systems with managerial insights; engineering systems and structures; mineral and energy resources; software engineering developments; digital twins; materials; unmanned vehicles; robotics; network traffic control; energy sustainability models; optimization; population dynamics with realistic scenarios; high-performance methods for data-driven engineering applications; numerical procedures; computational intelligence in complex engineering problems.Applied Mathematical Modelling is primarily interested in: Papers developing increased insights into real-world problems through novel analytical or semi-analytical mathematical and computational modelling.Papers with multi- and interdisciplinary topics, including linking with data driven models and applications.Papers on novel applications or a combination with the above.Papers employing existing methods must demonstrate significant novelty in the solution of practical problems. Model validation, verification and reproducibility is a fundamental principle for published papers.Papers based on fuzzy logic in decision-making, financial mathematics, heuristic algorithms, neural networks, data modelling, game-theoretical, fractional differential equations, bifurcation and numerical methods papers are not considered unless they solve practical problems, supported by reasonable empirical evidence. Submissions with no real-world application will not be considered.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.- ISSN: 0307-904X
Pattern Recognition Letters
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.- ISSN: 0167-8655
Neural Networks
The journal 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.- ISSN: 0893-6080
Journal of Computational and Applied Mathematics
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineersThis 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.- ISSN: 0377-0427
Integration
the VLSI JournalIntegration's aim is to cover every aspects of the VLSI (very large-scale integration) area, with an emphasis on the design, verification, test, and electronic design automation (EDA) technologies of integrated circuits and systems, as well as closely related topics in process and device technologies. Individual issues will feature peer-reviewed technical articles as well as reviews of recent publications. The intended coverage of the journal can be assessed by examining the following (non-exclusive) list of topics:Specification methods and languages; Analog/Digital Integrated Circuits and Systems; VLSI architectures; Algorithms, methods and tools for modeling, simulation, synthesis and verification of integrated circuits and systems of any complexity; Embedded systems; High-level synthesis for VLSI systems; Logic synthesis and finite automata; Testing, design-for-test and test generation algorithms; Physical design; Formal verification; Algorithms implemented in VLSI systems; Systems engineering; Heterogeneous and reconfigurable systems; Emerging device and interconnect technologies; Emerging architectures, systems and models of computation; EDA for quantum computing systems.- ISSN: 0167-9260
Pattern Recognition
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.- ISSN: 0031-3203
Computers & Mathematics with Applications
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).The following are the principal areas of interest of the journal: Modeling using PDEs.Analysis of mathematical models, formulated in terms of PDEs.Discretization Methods and Numerical Analysis for PDEs.Numerical linear and nonlinear algebra. Fast numerical algorithms.Algorithm... and Data Structures. Adaptivity. Computational Geometry.Software Design, Code verification and Quality Assurance (QA).Verification and Validation.- ISSN: 0898-1221
Microelectronic Engineering
Nanotechnology and Processing — Electronics, photonics, MEMS and Life Sciences Affiliated with iMNEsMicroelectronic Engineering is the premier journal focused on the fabrication and characterization of micro/nano-electroni... materials, devices and circuits (including novel electronic nanomaterials), as well as the understanding of their working mechanisms, performance, yield, variability, stability, and reliability. The journal also focuses on the techniques that make possible the fabrication and characterization of such devices and circuits, and on the materials involved in them. Occasionally, outstanding papers on simulation of materials properties, device figures-of-merit or compact modeling of circuits and systems may be accepted. The following topics are of special interest:DevicesPhot... and optoelectronic devices (including, sensors, actuators, phototransistors)Tra... (including ultra-scaled, thin film, organic, ferroelectric)Resist... switching devices (memristors, RRAM, PCRAM, FeRAM, MRAM)Magnetic and spintronic devicesMEMS and NEMS (including power, RF, magnetic, organic)Flexible electronic devices (including wearable, printed, paper)Devices for energy harvesting (piezoelectric, flexoelectric, photovoltaic, solar cells)Bioelectronic devices (molecular detection, biomimetic, diagnosis)Device-lev... simulations (including variability and reliability)Material... bandgap semiconductorsDielec... (low K and high K)Two-dimensional (2D) Materials and related transferring techniquesNanotubes, nanowires, and other nanomaterials and nanostrctures for device fabricationInterconn... metallization and barrier materialsNew Resist MaterialsSilicon on insulatorsPolymers and flexible substrates, including biocompatible materialsAtomistic simulations of materials propertiesFabricatio... and characterization processesThin films deposition techniques (CVD, ALD, evaporation, sputtering, MBE, plasma)Lithography (including optical, EUV, electron beam, nanoimpring, particle-assisted, mask less, X-ray optical methods, emerging methods and limits, as well as resists)Pattern transfer (including ion, plasma and wet transfer, as well as transfer of 2D materials)Integratio... processes (including inkjet printing, 3D printing, 3D integration)Top-down and bottom-up self-assembly processesAnnealing and its effect in the materials (including crystallization, wrinkling, de-wetting)Nanometro... (TEM, SEM, EDX, EELS, STM, AFM and related setups)Circuits and applicationsSensing and actuation, including bio-compatible applicationsSignal souring and transferLogic operations and data processingElectronic memories and information storageArtificial neural networks and neuromorphic computingCompact modeling of electronic circuitsQuantum computingFive different types of articles are considered:Research articles that report regular original research that produces significant advancement.Accelera... Publications (Letters) that feature exciting research breakthroughs.Review Articles that inform readers of the latest research and advances in a topic within the broad field of microelectronic engineering. This includes roadmaps and guides proposing the recommended methods in a specific field.Short / Technical notes intended for original limited investigations or short description of original industrial or industrially-related research and development workNews and Opinions that comment on topical issues or express views on the developments in related fields, or comment on previously published work- ISSN: 0167-9317
Applied Numerical Mathematics
An IMACS JournalApplied Numerical Mathematics provides a forum for the publication of high quality research and tutorial papers in computational mathematics.The journal publishes: • traditional issues and problems in numerical analysis • relevant applications in such fields as physics, fluid dynamics, engineering • other branches of applied science with a computational mathematics componentThe journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are: Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.Tutoria... review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.Short notes, which present specific new results and techniques in a brief communication.The journal strives to provide authors with a refereed outlet for their work which is subject to the least possible publication delay.Fractional calculus: Due to the number of submissions and the limited number of Editors and Reviewers in this area, the journal is limiting the number of submissions to 5 per month. Please be advised that your paper may be desk rejected due to this new restriction.- ISSN: 0168-9274
