Journals in Computer science

141-150 of 181 results in All results

Neurocomputing

ISSN: 0925-2312
5 Year impact factor: 6
Impact factor: 6

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered. NEW! Neurocomputing's Software Track allows you to expose your complete Software work to the community through a novel Publication format: the Original Software Publication Overview: Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices). Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting. Types of publications: Neurocomputing publishes reviews of literature about neurocomputing and affine fields. Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars. NEW! The Neurocomputing Software Track Neurocomputing Software Track publishes a new format, the Original Software Publication (OSP) to disseminate exiting and useful software in the areas of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. We encourage high-quality original software submissions which contain non-trivial contributions in the above areas related to the implementations of algorithms, toolboxes, and real systems. The software must adhere to a recognized legal license, such as OSI approved licenses. Importantly, the software will be a full peer reviewed publication that is able to capture your software updates once they are released. To fully acknowledge the author's/developers work your software will be fully citable as an Original Software Publication, archived and indexed and available as a complete online "body of work" for other researchers and practitioners to discover. See the detailed Submission instructions, and more information about the process for academically publishing your Software: here

Neuroscience Informatics

ISSN: 2772-5286

The Article Publishing Charges are waived for submissions intended for Special Issues, as well as for submissions received via the Article Transfer Service (ATS). Neuroscience Informatics is a peer-reviewed gold open-access journal, in the fields of brain sciences, imaging and natural/engineered computational systems. The journal builds a bridge between medical and technical disciplines and encourages development activities and research in an international environment. The focus is on interdisciplinary, translational, and technical research that constitute the field of brain informatics or that are driven by imaging. The journal aims to profile topics relating to digital imaging methods and computer-assisted diagnostic and therapeutic workflows. One central focus is on new diagnostic and therapeutic processes that are facilitated by computer-assisted radiology and surgery. Neuroscience Informatics also welcomes submissions on communication technology, information sciences, as well as clinical applications: Neurosciences disciplines of interest Neurology Neurosurgery Neurointerventional surgery/radiology Neuroradiology Neurocritical care and emergency medicine Fundamentals Education and training Informatics fields concerned Information processing and computer-driven systems Big-data analytics Informatics paradigms Brain-inspired computation & Brain/machine interfaces Modeling approaches Massive structured datasets Evaluation of available software tools Artificial Intelligence Medical imaging, digital imaging methods Image processing, analysis and display Computer applications for clinical or surgical practice Image-guided therapy Robotics, instrumentation and navigation Algorithmic and/or statistical methods Neurosciences informatics presents results from these areas in original papers, review articles and short communications. This research must advance the understanding of a neurological condition or surgical/medical treatment and contribute to improving computer assisted radiology and surgery-supported procedures in clinical practice. 4 issues/year

New Ideas in Psychology

ISSN: 0732-118X
5 Year impact factor: 2.7
Impact factor: 2.6

An International Journal of Innovative Theory in Psychology New Ideas in Psychology is a journal for theoretical psychology in its broadest sense. We are looking for new and seminal ideas, from within Psychology and from other fields that have something to bring to Psychology. We welcome presentations and criticisms of theory, of background metaphysics, and of fundamental issues of method, both empirical and conceptual. We put special emphasis on the need for informed discussion of psychological theories to be interdisciplinary. Empirical papers are accepted at New Ideas in Psychology, but only as long as they focus on conceptual issues and are theoretically creative. We are also open to comments or debate, interviews, and book reviews.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

Ocean Modelling

ISSN: 1463-5003
5 Year impact factor: 3.5
Impact factor: 3.2

Ocean Modelling is an international journal that highlights the significant findings and breakthroughs in all aspects of ocean modelling research to support the advancement of ocean sciences. Ocean Modelling welcomes submissions in various forms of mechanism analysis, laboratory experiments, ocean model development, improvements and applications, as well as model-observation synergies. In particular, ocean model applications at different scales that aim at understanding the ocean and Earth system and its coupling to biological, geological and chemical systems are welcome. Special attention can be also given to interdisciplinary contributions focusing on interactions between physics, biology and chemistry, cross-scale processes, and machine learning. The journal publishes topics including: 1. Models of ocean circulation, surface waves, tides and sea ice, marine ecosystems, biogeochemical processes, sediment processes, and coastal morphology. 2. Earth system models, ocean-atmosphere coupled models, and climate models with a special emphasis on the role of the ocean. 3. Innovative modelling, combined with observational, theoretical studies concerning physical and biogeochemical processes in different time and space scales. 4. Technologies associated with ocean model development, (e.g., model framework, coupler, data assimilation, high-performance computing, and artificial intelligence). 5. Simulation, prediction and response strategy of ocean and climate disasters like tsunamis, flooding, volcano eruptions, float stone, marine heat waves, oil spill movements, etc. 6. Improved understanding of the variability in the ocean and its past, present and future role in the wider climate system using models and observations. Topical Collections will be envisaged for timely topics, related to ocean modelling, to promote key advances in specific research areas in ocean modelling and to bring together high-quality contributions in the collection's domain. Ocean Modelling publishes 12 issues per year with original Research Articles, Review Articles, Short communications, Commentaries and Special Issues. Authors are invited to submit datafiles, model animations or other electronic-only information in support of their submission.

Online Social Networks and Media

ISSN: 2468-6964

Online Social Networks and Media (OSNEM) are one of the most disruptive communication platforms of the last 15 years with high socio-economic value. Nowadays, OSNEM are regularly used by billions of users to interact, and they are key platforms for (among others) content and opinion dissemination, social and professional networking, recommendations, scouting, alerting, and political campaigns. The use of social technologies has become a sweeping cultural, social and economic phenomenon. Social platforms can exploit the "cognitive surplus" of our society for creating content and support collaboration. Moreover, the widespread diffusion of mobile personal devices (smartphones and tablets) is boosting the pervasive use of OSNEM services, as well as fostering the design of novel social networking services where users' mobility is one of the key features. OSNEM, thus, represent a challenging environment for computer scientists working in academia and industry, to develop innovative ideas, fostering the design of the new generation of communication platforms and their services. The pervasive penetration of OSNEM in our lives is having very significant impacts also on the type of OSNEM services and, more in general, on societal services. The digital footprints that people leaves in OSNEM provide a unique source to investigate and understand (by exploiting data mining and machine learning techniques) people's behavior (e.g., mobility patterns, opinions and interests spreading), and human relationships in the society. OSNEM can thus become a (social) microscope for understanding the human behavior both in the cyber and in the physical world and hence can be a powerful tool for investigating societal phenomena (the epidemics spreading, the terrorist networks, the diffusion of opinions, the pulse of a city, etc.) and develop innovative services. OSNEM is a peer-reviewed international journal that publishes high-quality scientific articles (both theoretical and experimental) and survey papers covering all aspects of OSNEM: from OSNEM protocols and applications to the use of data mined from OSNEM for modeling and understanding the human behavior in the cyber-physical world. It is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behavior. The journal also welcomes contributions applying a wide range of (computer- and network-science) techniques and tools to OSNEM for investigating how social relationships affect other scientific fields, e.g., social and political sciences, economic and financial sciences, medical sciences. Topics include, but are not limited to: OSNEM platforms, protocols and applications; Decentralized, mobile and location-based OSNEM; Trust, reputation, privacy and security in OSNEM; Dynamics of trends, information and opinion diffusion in OSNEM; Recommendations and advertising in OSNEM; Measurement, analysis and modeling of popular online social networks (Facebook, Twitter, Instagram, Flickr, etc.); Data mining, and machine learning in OSNEM systems; Social media analysis and social analytics; Information extraction and search in OSNEM; Complex-network analysis of OSNEM; Measurement, analysis and modeling of social behavior through OSNEM data; Analysis of the use of OSNEM in the urban context; Crowdsourcing and online social networks; Multidisciplinary applications of OSNEM (economics, medicine, society, politics, homeland security, etc.).

Optical Switching and Networking

ISSN: 1573-4277
5 Year impact factor: 1.9
Impact factor: 2.2

A Computer Networks Journal Optical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time. Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to: • Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks • Optical Data Center Networks • Elastic optical networks • Green Optical Networks • Software Defined Optical Networks • Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer) • Optical Networks for Interet of Things (IOT) • Home Networks, In-Vehicle Networks, and Other Short-Reach Networks • Optical Access Networks • Optical Data Center Interconnection Systems • Optical OFDM and coherent optical network systems • Free Space Optics (FSO) networks • Hybrid Fiber - Wireless Networks • Optical Satellite Networks • Visible Light Communication Networks • Optical Storage Networks • Optical Network Security • Optical Network Resiliance and Reliability • Control Plane Issues and Signaling Protocols • Optical Quality of Service (OQoS) and Impairment Monitoring • Optical Layer Anycast, Broadcast and Multicast • Optical Network Applications, Testbeds and Experimental Networks • Optical Network for Science and High Performance Computing Networks

Optics & Laser Technology

ISSN: 0030-3992
5 Year impact factor: 4.5
Impact factor: 5

Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics•developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems The Journal publishes and, from time to time commissions, review articles pertaining to important areas of optical and laser technology. Short communications and technical notes are also published. Short papers for rapid communication of important innovations or observations will receive fast-track treatment. Optics & Laser Technology aims to provide the widest possible coverage of world research and development in its chosen field.

Optics and Lasers in Engineering

ISSN: 0143-8166
5 Year impact factor: 4.9
Impact factor: 4.6

Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal's scope. The scope of the journal is defined to include the following: Optical Metrology Optical Methods for 3D visualization and virtual engineering Optical Techniques for Microsystems Imaging, Microscopy and Adaptive Optics Computational Imaging Laser methods in manufacturing Integrated optical and photonic sensors Optics and Photonics in Life Science Hyperspectral and spectroscopic methods Infrared and Terahertz techniques