Journals in Computer science

41-50 of 181 results in All results

Computers & Security

ISSN: 0167-4048
5 Year impact factor: 5.7
Impact factor: 5.6

The International Source of Innovation for the Information Security and IT Audit Professional Computers & Security is one of the most respected journals in IT security, being recognized worldwide as THE primary source of reference for IT security research and applications expertise. Computers & Security provides the IT security community with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia - helping the community build and operate fully secure systems and organisations. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world. Our cutting edge research will help you secure and maintain your systems We accept only the highest quality of papers ensuring that you receive the relevant and practical advice you need We don't only highlight the threats, we give you the solutions

Computers and Electronics in Agriculture

ISSN: 0168-1699
5 Year impact factor: 8.3
Impact factor: 8.3

Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. Its new companion journal, Smart Agricultural Technology provides continuity for smart application being applied in production agriculture. The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. On-farm, post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling. When determining the suitability of submitted manuscripts for publication, particular emphasis is placed on novelty and innovation, and the degree to which a manuscript advances the state of the art for computers/electronics in agriculture. Applying existing technology to a particular crop for the first time does not qualify as an innovation in computers/electronics for this journal. Research applying off-the-shelf hardware or software, without augmenting such technology with investigator-developed tools, innovations, or unique approaches, should be submitted to its companion journal, Smart Agricultural Technology, whose scope includes applied technology. Manuscripts that apply computers/electronics in an ancillary fashion or focus objectives and conclusions primarily on the application sciences (e.g., entomology, agronomy, engineering, economics, horticulture) should be submitted to one of those respective science journals. The journal recognizes that the use of previously published data sets (either alpha-numeric, quantitative, or imagery) can be extremely beneficial as researchers develop and prototype new machine learning or machine vision algorithms with potential application to agriculture. However, the journal views this prototyping work as preliminary in nature, and prospective authors should, prior to submitting such work to this journal, generate a more scientifically rigorous data set, collected by the authors under controlled and reported experimental conditions.

Computers in Biology and Medicine

ISSN: 0010-4825
5 Year impact factor: 6.9
Impact factor: 7.7

Computers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and medicine. The Journal will focus on such areas as: Analysis of Biomedical Systems: Solutions of Equations Synthesis of Biomedical Systems: Simulations Special Medical Data Processing Methods Special Purpose Computers Clinical Data Processing for Real Time Clinical and Experimental Use Medical Diagnosis and Medical Record Processing Biomedical Engineering Medical Informatics Bioinformatics Medical Applications of the Internet and World Wide Web Human Genomics Proteomics Functional Brain Studies The publication policy is to publish: New, original articles that have been appropriately reviewed by competent scientific people, Surveys of developments in the fields, Pedagogical papers covering specific areas of interest, and Book reviews pertinent to the field. Articles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: Computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of pictures of biological and medical importance, use of computers by commercial pharmaceutical and chemical organizations, radiation-dosage computers, and accumulating and recalling individual medical records, real-time languages, interfaces to patient monitors, clinical chemistry equipment, data handling and display in nuclear medicine and therapy.

Computers in Industry

ISSN: 0166-3615
5 Year impact factor: 10.4
Impact factor: 10

An International, Application Oriented Research Journal The aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:• Show new trends in and options for the use of Information and Communication Technology in industry; • Link or integrate different technology fields in the broad area of computer applications for industry; • Link or integrate different application areas of ICT in industry.General topics covered include the following areas:• The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. • The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. • Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. • Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:- Technologically outstanding and front-end - Application-oriented with a generalised message - Representative for research at an international levelBenefits 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

Control Engineering Practice

ISSN: 0967-0661
5 Year impact factor: 4.5
Impact factor: 4.9

A Journal of IFAC, the International Federation of Automatic Control Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicable methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Parameter Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related Technologies

Cortex

ISSN: 0010-9452
5 Year impact factor: 4.3
Impact factor: 3.6

A Journal devoted to the Study of the Nervous System and Behavior. CORTEX is an international journal devoted to the study of cognition and of the relationship between the nervous system and mental processes, particularly as these are reflected in the behaviour of patients with acquired brain lesions, normal volunteers, children with typical and atypical development, and in the activation of brain regions and systems as recorded by functional neuroimaging techniques. It was founded in 1964 by Ennio De Renzi.

Cyber Security and Applications

ISSN: 2772-9184

To defend against various cyber-attacks, the companies and organizations should have right policies and procedures in place. Moreover, it is essential to develop new quantum-safe encryption algorithms and modern tools which can withstand from quantum computer-based attacks. This Cyber Security and Applications (CSA) journal focuses on cyber breaches, cyber-attacks, quantum computing based encryption and decryption techniques and cyber defense tools for improving level of cyber security. In addition to this, CSA also welcomes the researchers to submit the papers related to advance methods and tools for improving the cyber security in the field of Information and Communication Technology (ICT). Therefore, the CSA journal seeks innovative papers in the field of cyber security. CSA also accepts the substantially extended version of the conference papers in the field of cyber security. Topics of interest include, but are not limited to the following: Cyber attacks Software and Hardware Security Security issues in Intelligent Transportation Systems (ITS) Machine learning mechanisms for cyber security Key generation and key distribution schemes Modern tools for improving cyber security Emerging trends in cyber security Authenticated Key Agreement Protocols Cyber security in Internet of Things (IoT) Cyber security in Cloud Quantum-safe encryption algorithms Quantum-safe digital signature schemes Quantum-safe key management mechanisms

Data & Knowledge Engineering

ISSN: 0169-023X
5 Year impact factor: 2.2
Impact factor: 2.5

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields. DKE covers the following topics: 1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques. 2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures. 3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues. 4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications. 5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles. 6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace. Plus... conference reports, calendar of events, book reviews etc. 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

Data Science and Management

ISSN: 2666-7649

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University. Current areas of interest include, but are not limited to: Machine learning and intelligent management Data mining and business analytics Data statistics and decision making Intelligent computing and algorithms Data-driven management decisions Data-based policy evaluation Business intelligence Business data science Digital economy Data quality and data privacy Data and knowledge management Enterprise digital management Cyberspace management Data security management Smart city management Smart society management Digital engineering management Data visualization Data-driven intelligent system management Data science applications About the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.

Decision Support Systems

ISSN: 0167-9236
5 Year impact factor: 8.1
Impact factor: 7.5

and Electronic Commerce The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area. Examples of research topics that would be appropriate for Decision Support Systems include the following: 1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed. 2. DSS Functionality e.g. methods, tools, and techniques for developing the functional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product. 3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality. 4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training. A critical consideration must be how specific experiences provide more general implications. 5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.