Journals in Graphics cad hci general

Computers & Mathematics with Applications

ISSN: 0898-1221
5 Year impact factor: 2.6
Impact factor: 2.9

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.Algorithms and Data Structures. Adaptivity. Computational Geometry.Software Design, Code verification and Quality Assurance (QA).Verification and Validation.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.If you have questions about submissions, scope, or content, please contact our Support Center

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Engineering Analysis with Boundary Elements

ISSN: 0955-7997
5 Year impact factor: 3.3
Impact factor: 4.2

Aim of the JournalEngineering analysis with boundary elements is dedicated to the latest developments of engineering analysis with boundary elements, mesh reduction, and other related innovative and emerging numerical methods. The journal founded in 1984 was originally focused on the development of the Boundary Element Method. Its scope has since been expanded to include the emerging mesh reduction and meshless methods. The aim of the journal is to promote the use of non-traditional, innovative, and emerging computational methods for the analyses of modern engineering problems.ScopeEngineering Analysis with Boundary Elements publishes topics including: • Boundary Element Methods • Method of Fundamental Solutions and Related Methods • Radial Basis Function Collocation Methods • Other Mesh Reduction and Meshless Methods • Particle Methods • Other Emerging and Non-Traditional Numerical Methods • Advanced Engineering Analyses and Applications

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Fuzzy Sets and Systems

ISSN: 0165-0114
5 Year impact factor: 3.1
Impact factor: 3.2

An International Journal in Information Science and Engineering Official Publication of the International Fuzzy Systems Association (IFSA)Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.

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Graphical Models

ISSN: 1524-0703
5 Year impact factor: 1.8
Impact factor: 2.5

Graphical Models (GMOD) is internationally recognized as a highly rated, top-tier journal and is focused on the creation, geometric processing, animation, and visualization of graphical and geometric models and on their applications in engineering, science, culture, and entertainment. GMOD provides its readers with thoroughly reviewed and carefully selected papers that disseminate exciting innovations, that teach rigorous theoretical foundations, that propose robust and efficient solutions, or that describe ambitious systems or applications in a variety of topics.We invite papers in five categories: 1) research (contributions of novel theoretical or practical approaches or solutions), 2) survey (opinionated views of the state-of-the-art and challenges in a specific topic), 3) system (the architecture and implementation details of innovative architecture for a complete system that supports model/animation design, acquisition, analysis, visualization), 4) application (description of a novel application of know techniques and evaluation of its impact), or 5) lecture (an elegant and inspiring perspective on previously published results that clarifies them and teaches them in a new way).GMOD offers its authors an accelerated review, feedback from experts in the field, immediate online publication of accepted papers, no restriction on color and length (when justified by the content), and broad promotion of published papers. A prestigious group of editors selected from among the premier international researchers in their fields oversees the review process.Because the timely publication of research results is important for the careers of our authors and for the vitality of the field, GMOD is putting in place its R3 (Rapid Response Review) system, which strives to provide authors with a preliminary decision within an average of one month after submission.The following are examples of topics typically covered in GMOD:Shape processing: Shape analysis and understanding. Bounding volumes and geometric proxies. Correspondence, registration, matching, and retrieval. Detection of ridges, features, patterns, and symmetries. Measures of volume, compactness, or convexity. Morphological operations (offsetting, rounding, tightening). Segmentation. Similarity measures, comparison, variability statistics.Machine Learning: Deep neural models. Learning, Genetic and Evolutionary Algorithms. Optimization. Deep Generative Models. Reinforcement Learning. Deep Shape Analysis, Processing, and Generation.Point clouds: Analysis. Segmentation, Reconstruction, Interpolation. Multi-resolution. Rendering. Segmentation. Separation.Curves: Parametric. Implicit. Fitting. Smoothing, Subdivision. Constant length. Extraction. Segmentation. Matching. Comparison. Averaging. Curves on surfaces. Rounding, Offsetting, Regularity.Model abstractions: Skeletons. Animation and Skinning. Medial axis or Curve skeleton. Model representations. Perceptual models.Meshes: Compact data structures. Feature extraction and replication. Feature exaggeration. Levels of Detail. Simplification. Shape measures. Parameterization. Re-sampling. Smoothing. Subdivision. Volume/area preservation. Feature sharpening.Surfaces: Implicit. Parametric. Curvature. Hole filling. Geodesics. Intersection. Interpolating. Reconstruction. Sampling.Solids: Boolean operations. Boundary representations. CSG. BSP. Non-manifold models. Inhomogeneous models. Non-manifold models and complexes. Offsets. Repair. Rounding and smoothing. Sweeps.Volumes: Matching. Isosurface extraction. Rendering. (Images/Video techniques only in support of 3D modeling)Reconstruction: From Drawings, Images, Videos, Point Clouds, and Skeletons.Procedural models: User driven. Patterns. Textures. Control.Design: Constraint-based. Feature-based. Variational. Direct manipulation. Haptics. Multimodal interfaces. Multiuser interfaces. Pen-based.Motion: Rigid, affine, steady. Analysis. Capture. Pattern extraction. Synthesis. Constrained. Blending.Deformation: Capture/acquisition. Direct manipulation. Free-form. Image/volume warping. Interpolating meshes. Preservation of local details.Animation: Design. Evaluation. Behavioral. Retargeting. Data-driven. Humans. Animals. Face. Hand. Gate. Swimming. Constrained. Optimization. Reinforcement learning.Simulation: Collision and friction. Articulated and flexible shapes. Physically based behavior. Cloth. Crowds and flocks. Deposition, erosion, and biological growth. Fluid. Hair. Viscoelastic deformations. Sound.Hardware Acceleration: Collision and visibility queries. Frame buffer algorithms. GPUs and parallelization. Model Acquisition and Scanning.Model Dissemination: Shared models. Collaborative access. Geometry compression. Progressive/selective refinements. Streaming scenes and animations. Watermarking. Data bases.Application: Manufacturing. Robotics. Architecture and urban simulation. Medicine. Biology. Natural phenomena. Cinema. Videogames. Education. Cultural Heritage. Typography. Scientific Computing.

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Information Sciences

ISSN: 0020-0255

Informatics and Computer Science Intelligent Systems Applications An International JournalInformation Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.Topics include:Foundations of Information Science: Information Theory, Mathematical Linguistics, Automata Theory, Cognitive Science, Theories of Qualitative Behaviour, Artificial Intelligence, Computational Intelligence, Soft Computing, Semiotics, Computational Biology and Bio-informatics.Implementations and Information Technology: Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with WordsApplications: Manufacturing, Automation and Mobile Robots, Virtual Reality, Image Processing and Computer Vision Systems, Photonics Networks, Genomics and Bioinformatics, Brain Mapping, Language and Search Engine Design, User-friendly Man Machine Interface, Data Compression and Text Abstraction and Summarization, Virtual Reality, Finance and Economics Modelling and OptimisationExecutive Editors-in-Chief can be reached at the following: Prof. Dr. Tofigh TA Allahviranloo- [email protected]. Dr. Radu-Emil R.-E. Precup- [email protected] Sabrina S. Senatore- [email protected] Zheng Z. Yan- [email protected]

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Information Systems

ISSN: 0306-4379
5 Year impact factor: 2.9
Impact factor: 3

Databases: Their Creation, Management and UtilizationInformation systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability.Authors of selected articles that have been accepted for publication in Information Systems are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must: (i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and (ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor).In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.

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Journal of Systems and Software

ISSN: 0164-1212
5 Year impact factor: 3.7
Impact factor: 3.7

For JSS's full CfP including information on Special Issues, Industry, Trends, and Journal First tracks please continue to read for further details.The Journal of Systems and Software publishes papers covering all aspects of software engineering. All articles should provide evidence to support their claims, e.g. through empirical studies, simulation, formal proofs or other types of validation. Topics of interest include, but are not limited to: Methods and tools for software requirements, design, architecture, verification and validation, testing, maintenance and evolutionAgile, model-driven, service-oriented, open source and global software developmentHuman/social aspects in software engineering and developerexperienceArtificial Intelligence, data analytics and big data applied in software engineeringMetrics and evaluation of software development resourcesDevOps, continuous integration, build and test automationSoftware Engineering educationEthical/societal aspects of Software EngineeringSoftware Engineering for AI systemsSoftware Engineering for SustainabilityMethods and tools for empirical software engineering research The journal welcomes reports of practical experience for all of these topics, as well as replication studies and studies with negative results. The journal appreciates the submission of systematic literature reviews, mapping studies and meta-analyses. However, these should report interesting and important results, rather than merely providing statistics on publication year, venue etc.JSS supports Open Science and reproducible research. Therefore, authors are encouraged to make Open Science material available at the time of submission and after acceptance of their manuscript, e.g., by submitting artifacts related to a study to an archived open repository (such as arXiv.org, zenodo.org, Mendeley, etc.). Also, authors are encouraged to explicitly reference Open Science material in their manuscript (e.g., via a DOI from the open repository). If authors are not able to disclose any material (for example, industrial data subject to non-disclosure agreements), we encourage authors to explicitly acknowledge this by including a short statement in their manuscript. Depending on the type of research presented in a manuscript, Open Science material could include study protocols, (anonymized) raw or analyzed data, data analysis scripts, source code, customized tools and infrastructures, experimental material, codebooks, etc. If authors agree to participate in the JSS Open Science Initiative, after the acceptance of a manuscript, they will be invited to submit a link to Open Science material for review by the JSS Open Science Board. After a successful review (which does not impact the acceptance of the manuscript) considering availability and usability of the material, the publisher will add a statement to the final version of the manuscript acknowledging that the Open Science package was validated by the JSS Open Science Board.In addition to regular papers, JSS features two special tracks (In Practice, New Ideas and Trends Papers), as well as special issues.In Practice is exclusively focused on work that increases knowledge transfer from industry to research. It accepts: (1) Applied Research Reports where we invite submissions that report results (positive or negative) concerning the experience of applying/evaluating systems and software technologies (methods, techniques and tools) in real industrial settings. These comprise empirical studies conducted in industry (e.g., action research, case studies) or experience reports that may help understanding situations in which technologies really work and their impact. Submissions should include information on the industrial setting, provide motivation, explain the events leading to the outcomes, including the challenges faced, summarize the outcomes, and conclude with lessons learned, take-away messages, and practical advice based on the described experience. Contributing authors from industry are encouraged but not mandatory. (2) Practitioner Insights where we invite experience reports showing what actually happens in practical settings, illustrating the challenges (and pain) that practitioners face, and presenting lessons learned. Problem descriptions with significant details on the context, underlying causes and symptoms, and technical and organizational impact are also welcome. Practitioner insights papers may also comprise invited opinionated views on the evolution of chosen topic areas in practice. In contrast to applied research reports, practitioner insights are limited to four pages and the first author must be from industry. Finally, submissions to this track should be within scope of the journal's above topics of interest and they will be evaluated through industry-appropriate criteria for their merit in reporting useful industrial experience rather than in terms of academic novelty of research results.New Ideas and Trends Papers New ideas, especially those related to new research trends, emerge quickly. To accommodate timely dissemination thereof, JSS introduces the New Ideas and Trends Paper (NITP). NITPs should focus on the systems/software engineering aspects of new emerging areas, including: the internet of things, big data, cloud computing, software ecosystems, cyber-physical systems, green/sustainable systems, continuous software engineering, crowdsourcing, and the like. We distinguish two types of NITPs:A short paper that discusses a single contribution to a specific new trend or a new idea.A long paper that provides a survey of a specific trend, as well as a (possibly speculative) outline of a solution.NITPs are not required to be fully validated, but preliminary results that endorse the merit of the proposed ideas are welcomed.We anticipate revisiting specific new trends periodically, for instance through reflection or progress reports. New Ideas and Trend Papers warrant speedy publication.Special Issue proposals To submit a proposal for a special issue please submit your proposal here to Special Issues Editors Prof. Raffaela Mirandola and Prof. Laurence Duchien. Please visit the special issue guidelines page first to review the proposal guidelines and to download the proposal template required when submitting a proposal.Journal First Initiative Authors of JSS accepted papers have the opportunity to present their work in those conferences that offer a Journal First track. Using this track, researchers may take the best from two worlds: ensuring high quality in the JSS publication (thorough, multi-phase review process of a long manuscript), while getting feedback from a community of experts and fostering possible collaborations during a scientific event.Details may vary from conference to conference, but generally speaking, JSS papers to be presented in a Journal First track must report completely new research results or present novel contributions that significantly extend previous work. The ultimate decision to include a paper in the conference program is up to the conference chairs, not JSS. A JSS paper may be presented only once through a Journal First track.As of today, the list of conferences with which JSS is collaborating, or has collaborated, through a Journal First track, is: ASE, ICSME, SANER, RE, ESEM, PROFES, and APSEC.

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Neural Networks

ISSN: 0893-6080
5 Year impact factor: 7.9
Impact factor: 6

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-inspired 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.

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Simulation Modelling Practice and Theory

ISSN: 1569-190X
5 Year impact factor: 3.5
Impact factor: 3.5

The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.Paper submission is solicited on:• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, blockchains, artificial intelligence (AI), internet of things (IoT), education, transaction handling, etc.;• simulation languages and environments including those, specific to distributed computing, cloud, fog and edge computing, high performance computers or computer networks, etc.;• distributed and real-time simulation, simulation interoperability;• tools for high performance computing simulation, including dedicated architectures and parallel computing.Papers covering applications should be presented in such a way that the separate steps in the process, such as model development, computer implementation of the derived model, mathematical and scalability problems encountered and validation/verification with real data become transparent to all readers.Theory may play an important role in a paper, but it should be presented in the context of its applicability to the work being described. For application-oriented readers it is essential that theoretical papers should cover the following aspects: why the theory is relevant and how it can be applied, what is the novelty of the approach and what are the benefits and objectives of a new theory, method or algorithm; what experience has been obtained in applying the approach and what innovations did result.(Variations from these prototypes, such as comprehensive surveys of active research areas, critical reviews of existing work, and book reviews, will be considered provided they make a clear contribution to the field.)Special issues on specific topics will be published from time to time; proposals for such issues are invited.

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Life Sciences

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Health

Journals in Graphics cad hci general

Computers & Mathematics with Applications

Engineering Analysis with Boundary Elements

Fuzzy Sets and Systems

Graphical Models

Information Sciences

Information Systems

Journal of Systems and Software

Neural Networks

Simulation Modelling Practice and Theory