Journals in Computer science

171-180 of 181 results in All results

Speech Communication

ISSN: 0167-6393
5 Year impact factor: 2.8
Impact factor: 3.2

A publication of the European Association for Signal Processing (EURASIP) and of the International Speech Communication Association (ISCA) Speech Communication is a publication of the European Association for Signal Processing (EURASIP), which can be located at http://www.eurasip.org and the International Speech Communication Association (ISCA), which can be located at http://www.isca-speech.org. Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results. In order to establish frameworks to inter-relate results from the various areas of the field, emphasis will be placed on viewpoints and topics of a transdisciplinary nature. The editorial policy and the technical content of the Journal are the responsibility of the Editors and the Institutional Representatives. The Institutional Representatives assist the Editors in the definition and the control of editorial policy as well as in maintaining connections with scientific associations, international congresses and regional events. The Editorial Board contributes towards the gathering of material for publication and assists the Editors in the editorial process. Editorial Policy: The journal's primary objectives are: • to present a forum for the advancement of human and human-machine speech communication science; • to stimulate cross-fertilization between different fields of this domain; • to contribute towards the rapid and wide diffusion of scientifically sound contributions in this domain. Subject Coverage: Subject areas covered in this journal include: • Basics of oral communication and dialogue: modelling of production and perception processes; phonetics and phonology; syntax; semantics and pragmatics of speech communication; cognitive aspects. • Models and tools for language learning: functional organisation and developmental models of human language capabilities; acquisition and rehabilitation of spoken language; speech & hearing defects and aids. • Speech signal processing: analysis, coding, transmission, enhancement, robustness to noise. • Models for automatic speech communication: speech recognition; language identification; speaker recognition; speech synthesis; oral dialogue. • Development and evaluation tools: monolingual and multilingual databases; assessment methodologies; specialised hardware and software packages; field experiments; market development. • Multimodal human computer interface: using speech I/O in combination with other modalities, e.g., gesture and handwriting. • Forensic speech science: forensic voice comparison; forensic analysis of disputed utterances; speaker identification by earwitnesses.

Supply Chain Analytics

ISSN: 2949-8635

Firms from all industries operate within complex global supply chains since today's business activities are fragmented among many dispersed partners. These supply chains are fragile and exposed to various risks and threats, requiring advanced risk management and resilience competencies. Data is the lifeblood of a supply chain. Digitization and analytics are vital in monitoring real-time data, predicting future patterns, and quickly responding to unforeseen events. Supply chain analytics can help companies adapt in real-time to shifting customer demand caused by disruptions. Analytics can drive significant operational efficiencies by providing visibility into supply chains. Supply chain analytics collects, analyzes, and synthesizes data to provide insights into supply chain performance. Supply chain managers must use data and analytics to transform their supply chain into a robust and resilient supply chain and create more opportunities to remain competitive and diversified. Future supply chain managers should be digitally savvy. They will be storytellers with the skills to dig into the countless layers of supply chain data to transform data into insight and make informed decisions. The principal objective of Supply Chain Analytics is to provide state-of-the-art information for academic researchers, policymakers, and practitioners concerned with developing new methodologies and technologies to formulate and solve supply chain problems. The journal is a source of information for theoretical, empirical, and analytical research, real-world applications, and case studies in supply chain management and analytics. The journal covers: Descriptive supply chain analytics: applying statistical models to understand a supply chain's past and current data and display it with charts and graphs to answer questions about the current health of a supply chain. Descriptive analytics can show what has happened and what is happening by analyzing supply chain data for trends and patterns. Diagnostic supply chain analytics: providing supply chain managers with the tools and technologies to discover problems in supply chains. It uses in-depth data mining and correlation analysis to answer why something happens. Diagnostic analytics can be used to understand data anomalies and explain deviations from expectations and norms when paired with powerful visualization tools and technologies. Predictive supply chain analytics: focusing on the future. It applies complex forward-looking mathematical models such as artificial intelligence and machine learning to large amounts of historical data collected through descriptive analytics to help supply chain managers predict what will happen in the future. Prescriptive supply chain analytics: building on predictive and diagnostic analytics to compare scenarios, provide insight, and suggest alternative courses of action to supply chain managers. It uses sophisticated machine learning, optimization, and simulation methods and typically requires more data to anticipate various outcomes effectively and efficiently.

Sustainable Computing: Informatics and Systems

ISSN: 2210-5379
5 Year impact factor: 4.6
Impact factor: 4.5

Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers. Making computing sustainable - Software systems perspective: • Power-aware software • Code profiling and transformation for power management • Power-aware middleware • Multimedia systems • Scheduling and allocation Computing for sustainability - Use of computing to make the world a sustainable place: • Use of sensors for environmental monitoring • Smart control for eco-friendly buildings • Green Data Centers and Enterprise Computing Re-inventing algorithms and applications for sustainability: • Theoretical aspect of energy, power, and temperature • Power-aware applications • Resource management to optimize performance and power • Power implications for portable and mobile computing • Algorithms for reduced power, energy and heat for high-performance computing Modeling and evaluation of sustainable systems: • Reliability of Power-aware computers • Runtime systems that assist in power saving • Models for collective optimization of power and performance • Monitoring tools for power and performance of parallel and distributed systems Sustainable hardware platforms and devices - Hardware and architecture perspective: • Power aware networking • Real-time systems • Power-efficient architectures • Efficient circuit design for energy harvesting • Power management in memory, disk, storage and other peripheral devices • Configurable and renewable energy • Low power electronics • Embedded systems, ASICs and FPGSs • Power leakage and dissipation Please submit your article via https://www.editorialmanager.com/suscom/default.aspx.

Sustainable Computing: Informatics and Systems

Swarm and Evolutionary Computation

ISSN: 2210-6502
5 Year impact factor: 9.8
Impact factor: 10

Introduction: To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems. About the journal: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications. Topics of Interest: Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization. Applications: Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software. Software publication 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 which describe the application of the software to research and the published outputs. For more information contact us at: [email protected]

Systems and Soft Computing

ISSN: 2772-9419

Official Journal of the World Federation on Soft Computing (WFSC) Systems and Soft Computing (SASC), a companion title to Applied Soft Computing, is an open access journal, promoting original soft computing research. SASC will focus primarily on the methodology and application of soft computing in real-world systems. Areas of interest include but are not limited to the following within soft computing/computational intelligence: fuzzy logic, neural networks, and evolutionary & bio-inspired computation. Other areas of interest that can be applied in today's world will also be accepted, such as learning theory, probability theory, hybrid methods, and rough sets. The applications of soft computing methods/techniques in computer science, engineering, manufacturing, supply chain, logistics, bio-medicine, healthcare, data analysis, and big data analytics are also welcome. The journal will disseminate full length as well as short and concise papers of the highest quality. While the journal welcomes all article types, including full-length original research articles, the breadth of the journal will consist of communication-type papers. These articles, typically 8-9 pages in length, will help influence a rapid review process and dissemination of content. SASC is a fit for authors who have timely research and/or prefer to publish in a fully open access journal.

Telematics and Informatics

ISSN: 0736-5853
5 Year impact factor: 8.9
Impact factor: 8.5

An Interdisciplinary Journal on the Social Impacts of New Technologies Telematics and Informatics is an interdisciplinary journal publishing innovative theoretical and methodological research on the social, economic, geographic, political, and cultural impacts of digital technologies. Application areas include smart cities, sensors and information fusion, the digital society and digital platforms, internet of things (IoT), cyber-physical technologies, privacy, knowledge management, distributed work, emergency response and hazards, mobile and wireless communications, health informatics, psychosocial effects of social media, ICT for sustainable development, blockchain, e-commerce, and e-government. The Journal favors research papers (8,000 words) but will consider contributions offering systematic review and meta-analysis (10,000 words), as well as research notes (4,000 words) that seek to advance new ideas, theoretical perspectives or methodological approaches. Telematics and Informatics serves as an international outlet for information scientists, data scientists, computer scientists, social informaticists, geographic information scientists, urban and regional planners, policy analysts, regional scientists, disaster scientists, and network scientists. 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

Telematics and Informatics Reports

ISSN: 2772-5030

Telematics and Informatics Reports is a gold open access interdisciplinary journal dedicated to the global and cultural impact of digital technologies in today's world. As a companion journal to Telematics and Informatics, Telematics and Informatics Reports is a forum for theoretical, methodological, and practical innovative research - including use intention - on the health, economic, social, and political scale. While Telematics and Informatics Reports is broad in scope and crosses multiple disciplines, the journal's primary research areas are subject to (but not limited to): Health informatics Information security and privacy (mobile banking, online shopping, etc.) Blockchain Mobile and wireless communications and applications Digital media culture communication Psychosocial effects of social media Network public opinion Digital platforms Smart cities and society E-governance Knowledge management The Journal favors original research papers and short communications but will also take into consideration reviews on previous studies, software, and more. Telematics and Informatics Reports serves as an international outlet for information and data scientists but welcomes those from other disciplines as well that can contribute to the rapidly growing research that surrounds today's digital technologies and their impacts. Special Issue Proposals To submit a proposal for a special issue please submit your proposal here. Please visit the special issue guidelines page first to review the proposal guidelines and to download the proposal template required when submitting a proposal.

Theoretical Computer Science

ISSN: 0304-3975
5 Year impact factor: 1
Impact factor: 1.1

Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing. Any queries about submissions and peer review should be addressed to the TCS editorial office: [email protected]. Papers published in Theoretical Computer Science are grouped in three sections according to their nature. The first section `Algorithms, automata, complexity and games' is devoted to the study of algorithms and their complexity using analytical, combinatorial or probabilistic methods. It includes the whole field of abstract complexity (i.e. all the results about the hierarchies that can be defined using Turing machines), the whole field of automata and language theory (including automata on infinite words and infinitary languages), the whole field of geometrical (graphic) applications and the whole field of measurement of system performance using statistical methods. The second section,`Logic, semantics and theory of programming', is devoted to formal methods to check properties of programs or implement formally described languages; it contains all papers dealing with semantics of sequential and parallel programming languages. All formal methods treating these problems are published in this section, including rewriting techniques, abstract data types, automatic theorem proving, calculi such as SCP or CCS, Petri nets, new logic calculi and developments in categorical methods. The third section, 'Natural Computing', is devoted to the study of computing occurring in nature and computing inspired by nature. In the rapidly evolving field of computer science, natural computing plays an important role as the catalyst for the synergy of human designed computing with the computing going on in nature. This synergy leads to a deeper and broader understanding of the nature of computation. Although natural computing is concerned also with experiments and applications, this section of Theoretical Computer Science is focused on the theoretical aspects of natural computing with clear relevance to computing. Among others, it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing. Theoretical Computer Science will now publish high-quality advanced introductions. Advanced introductions, which are by invitation only, should cover a focused topic within the scope of TCS at a level that would be appropriate for a scientist who is new to the topic and wishes to gain an up-to-date understanding. Articles should be self-contained, including motivation and basic definitions, and proceed to advanced material and/or open problems which may - but need not - include new results. Sufficient references should be given to provide the reader with entry points to the research literature on the topic as well as the origins of the main ideas. Submissions will go through the standard review process of TCS.

Vehicular Communications

ISSN: 2214-2096
5 Year impact factor: 7.2
Impact factor: 6.7

Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier. The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications: Vehicle to vehicle and vehicle to infrastructure communications Channel modelling, modulating and coding Congestion Control and scalability issues Protocol design, testing and verification Routing in vehicular networks Security issues and countermeasures Deployment and field testing Reducing energy consumption and enhancing safety of vehicles Wireless in–car networks Data collection and dissemination methods Mobility and handover issues Safety and driver assistance applications UAV Underwater communications Autonomous cooperative driving Social networks Internet of vehicles Standardization of protocols 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 pages: https://service.elsevier.com

Virtual Reality & Intelligent Hardware

ISSN: 2096-5796

Virtual Reality & Intelligent Hardware (VRIH) is an open access journal that aims to showcase and promote distinguished research in the field of virtual reality and intelligent hardware. It provides a global publishing and academic exchange platform for researchers, professionals and industry practitioners. The journal offers high-quality single-blind peer review and is published bimonthly in English. VRIH has been indexing by EI, Scopus, DBLP, DOAJ. Submissions are welcome on a variety of topics - specific areas of interest include, but are not limited to: 5G and VR/AR/MR Artificial intelligence for VR/AR/MR Audio interfaces, sound rendering and auditory perception Brain interface Computer graphics techniques Computer vision techniques Content creation, authoring and management Conversational and speech interfaces Crowd simulation Display technologies Embodied agents, virtual humans and (self-)avatars Haptic and tactile interfaces, wearable haptics, passive haptics, pseudo haptics Human augmentations Human-computer interaction for VR/AR/MR Human factors and ergonomics Image analysis and video processing Immersive analytics and visualization techniques Input devices Locomotion and navigation Machine learning and deep learning Mediated and diminished reality Medical simulation and navigation Modeling and simulation Multi-user and distributed systems Multimodal capturing and reconstruction Multimodal/cross-modal interaction and perception Multisensory rendering, registration, and synchronization Perception and cognition Presence, body ownership, and agency Scene description and management issues Sensor fusion Software architectures, toolkits, and engineering Storytelling Teleoperation and telepresence Touch, tangible and gesture interfaces Tracking and sensing Usage research, evaluation methods and empirical studies VR/AR/MR applications