Journals in Computer science

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Intelligent Oncology

ISSN: 2950-2616

Intelligent Oncology is an interdisciplinary academic journal focused on the intersection of medicine and engineering, with a core emphasis on artificial intelligence (AI) in oncology. Our journal is dedicated to publishing research articles, review articles, short communications, technical notes, correspondence, discussions, editorials, guidelines and consensus, patent reports and conference reports. By curating the most significant advancements in this multidisciplinary domain, we strive to foster both theoretical and applied research in the integration of clinical oncology, information science, biology, radiology, pathology and other relevant disciplines. Subjects considered for publication include, but are not limited to: Artificial intelligent technologies in oncology AI-assisted applications in clinical oncology Innovative algorithms and medical interpretability AI-driven oncological drug discovery and development AI-guided clinical trials in oncology Digital and computational pathology Cancer imaging processing AI in laboratory medicine AI-driven radiation oncology Robotic automation processing and surgery AI-assisted rehabilitation Guidelines and consensus for AI applications AI-assisted bio-informatics and bio-statistics Big data science in oncology AI-guided cancer biology AI in cancer epidemiology Patient privacy and data security Public data sharing By consolidating the most significant advancements in this multidisciplinary field, our journal serves as a communication platform, fostering collaborations among established and young investigators of oncology, pathology, radiology, cancer biology, drug discovery, and computer and data sciences. We strive to bridge the gap between these disciplines and facilitate the exchange of knowledge, ultimately driving innovation in the field of intelligent oncology.

Intelligent Pharmacy

ISSN: 2949-866X

Intelligent Pharmacy is a peer-reviewed, fully open access journal. It is dedicated to publishing high-quality papers that describe the most significant and cutting-edge research in all areas of pharmacy, with a particular focus on artificial intelligence, big data and information technology. Intelligent Pharmacy publishes original research papers, reviews, short communications and perspective papers. We welcome manuscripts across disciplines on topics such as: Novel drug research & development Clinical pharmacy Drug design Drug screening Data mining

Intelligent Systems with Applications

ISSN: 2667-3053

Intelligent Systems with Applications (ISWA) is a peer reviewed open-access journal which focuses on the achievements of research and applications related to intelligent systems (IS). IS can be applied to all aspects of human enterprize, such as business & finance, manufacturing & supply chains, agriculture, transportation, engineering, medicine and health, education, entertainment, culture, travel, media, the Internet, etc. ISWA covers a broad spectrum of applications in the community, including industry, government, and academia. The journal aims to publish papers dealing with, but not limited to, the following research fields: Knowledge Representation and Reasoning, Machine Learning (ML) and Neural Computing, Evolutionary Computation, Fuzzy Systems, Intelligent Information Processing, Intelligent Control and Robotics, Multi-agent Systems and Programming. The journal welcomes submissions of IS-applications in various areas: Intelligent Cities, Industries, Consuming, Medical Treatment and Health, Agriculture, Business and Finance, Internet of Things (IoT). Research addressing IS-applications in other fields is also encouraged. Submissions must be novel, technically sound, and clearly presented. ISWA accepts both regular papers and survey articles. Submissions meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated editorial team, together with active researchers from related fields, will ensure that papers move through the evaluation and review as rapidly as possible without compromising on the quality of the process. The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets and software publicly accessible via a repository of their choosing. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center. Reproducibility Badge Initiative and Software Publication Reproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI. 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] Focal points include, but are not limited to innovative applications of: Basic Theory Knowledge Representation and Reasoning Machine Learning (ML) and Neural Computing Evolutionary Computation Fuzzy Systems Intelligent Methodology Intelligent Information Processing (Video, Image, Audio, Language and other Multi-modal Information) Data Ming and Knowledge Discovery Pattern Recognition (PR) and Computer Vision (CV) Audio Signal Processing Natural Language Processing (NLP) Intelligent Control and Robotics Multi-agent Systems and Programming Intelligent Applications Intelligent Cities Intelligent Transportation Intelligent Systems for Security and Management Intelligent Systems for Industry Intelligent Supply Chain Unmanned factory and flexible manufacturing Unmanned Warehouse Service Robot Intelligent Systems for Consuming Intelligent Hardware and Smart Wearable Devices Intelligent Furniture New Retails Unmanned Driving and Autonomous Systems Intelligent Systems for Medical Treatment and Health Intelligent Systems for Agriculture Intelligent Systems for Business and Finance Internet of Things and its Applications

International Journal of Approximate Reasoning

ISSN: 0888-613X
5 Year impact factor: 3.5
Impact factor: 3.9

Uncertainty in Intelligent Systems The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc. The journal is affiliated with the Society for Imprecise Probability: Theories and Applications (SIPTA), and Beliefs functions and Applications Society (BFAS).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

International Journal of Child-Computer Interaction

ISSN: 2212-8689

The International Journal of Child-Computer Interaction serves as a forum to communicate original, high-quality research in child-computer interaction and interaction design and children. IJCCI employs a double-blind review process, utilizing a minimum of two (2) referees. The journal welcomes contributions on the following topics: • New methods for working with children in design, evaluation and research; • Models that help designers and researchers better understand children and their relationships with technology; • Interaction design cases that demonstrate novel and well designed technologies for children; • Studies of how children interact with and through technology; • Research about the use of, and the design of, technologies for play, learning, sociality and communication; • Reviews of the literature, theories around child development and technology design; • Studies of gaming and the application of serious games theories to children's technologies; • Evaluation studies of new and emerging technologies designed for children. 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

International Journal of Cognitive Computing in Engineering

ISSN: 2666-3074

Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight. It is a field that is highly transdisciplinary in nature, combining ideas, principles and methods of psychology, computer and internet technologies, linguistics, philosophy, neuroscience, etc. The goal of the International Journal of Cognitive Computing in Engineering is to explore how these data science technologies and new cognitive methods can be integrated to address real world engineering problems and challenges. For example, the journal welcomes submissions that look at the opportunities offered by combining existing data technologies with the knowledge of experts in the field and artificial intelligence. One of the benefits of cognitive computing is that it offers new analytics opportunities: the journal also welcomes designs for cognitive embedded data technologies that can process and analyse the large amount of data generated and aid decision-making. Submissions on a variety of cognitive computing-related topics will be considered.

International Journal of Cognitive Computing in Engineering

International Journal of Critical Infrastructure Protection

ISSN: 1874-5482
5 Year impact factor: 3.7
Impact factor: 3.6

The International Journal of Critical Infrastructure Protection (IJCIP) was launched in 2008, with the primary aim of publishing scholarly papers of the highest quality in all areas of critical infrastructure protection. Of particular interest are articles that weave science, technology, law and policy to craft sophisticated yet practical solutions for securing assets in the various critical infrastructure sectors. These critical infrastructure sectors include: information technology, telecommunications, energy, banking and finance, transportation systems, chemicals, critical manufacturing, agriculture and food, defense industrial base, public health and health care, national monuments and icons, drinking water and water treatment systems, commercial facilities, dams, emergency services, nuclear reactors, materials and waste, postal and shipping, and government facilities. Protecting and ensuring the continuity of operation of critical infrastructure assets are vital to national security, public health and safety, economic vitality, and societal wellbeing. The scope of the journal includes, but is not limited to: 1. Analysis of security challenges that are unique or common to the various infrastructure sectors. 2. Identification of core security principles and techniques that can be applied to critical infrastructure protection. 3. Elucidation of the dependencies and interdependencies existing between infrastructure sectors and techniques for mitigating the devastating effects of cascading failures. 4. Creation of sophisticated, yet practical, solutions, for critical infrastructure protection that involve mathematical, scientific and engineering techniques, economic and social science methods, and/or legal and public policy constructs. A unique aspect of the journal is the publication of opinion pieces from leading international scholars and high-ranking government officials that tackle controversial issues related to critical infrastructure protection that are of global significance. The International Journal of Critical Infrastructure Protection is the official journal of International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection. 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

International Journal of Human-Computer Studies

ISSN: 1071-5819
5 Year impact factor: 5.2
Impact factor: 5.4

The International Journal of Human-Computer Studies publishes research on the design and use of interactive computer technology. Research areas relevant to the journal include: • Adaptive user interfaces • Affective computing • Ageing and digital technologies • Computational interaction • Computer mediated communication • Computer supported cooperative work • Computers and accessibility • Conversational user interfaces • Design and evaluation of interactive technologies • Digital games and play • Digital health systems • Empirical studies of user behaviour • Ethical aspects in the design of interactive systems • HCI evaluation methodologies • HCI for development • HCI theory • Human-AI interaction • Intelligent tutoring systems • Interaction techniques • Mobile computing • Multimodal interaction techniques • Pervasive computing • Privacy and security in regard to HCI • Social computing • Sustainable and critical computing • Ubiquitous computing • User experience and usability • Virtual/Augmented/Mixed/Extended reality • Visualization • Wearable computers

International Journal of Information Management Data Insights

ISSN: 2667-0968

Please note that relevant articles submitted to Special Issues in 2023 will have the full APC waived.A companion title to the International Journal of Information Management, IJIM Data Insights is a peer reviewed gold open access journal focusing on empirical evidences for information management using emerging data science methods. Data science is an emerging research methodology that contributes to information management through the influence of data analysis methods borrowed from disciplines like computer science, operations research and statistics. It attempts to extract knowledge and generate inferences by using a variety of methods, processes, algorithms and perspectives to provide actionable insights into a context or problem. The empirical evidences could be extracted from structured, semi-structured or unstructured data and contribute to information management and data driven decision making literature. IJIM Data Insights is interested in publishing state-of-the-art articles which address one or more the following themes and contexts: Empirical studies which use a data-driven approach for contributing towards information management literature. Data science and big data studies surrounding unstructured data analysis like opinion mining, sentiment analysis, text mining, image mining, video analytics and network science generated by individuals, groups, communities and firms. Studies which adopt emerging methods like machine learning and artificial intelligence algorithms for improving decision making and information management are welcome if they provide novel empirical evidences. Case studies on information management which demonstrate theoretical insights based on empirical evidences in an organizational or national setting. Studies in related disciplines in management and social sciences can be published if they contribute to information management and data-based decision making literature adequately. The journal publishes studies that validate theoretical models based on cross-sectional and longitudinal data, experiments, and even qualitative research. However, strength of data analysis for demonstrating findings objectively would be very critical for these studies to get published. Studies surrounding emerging technologies like blockchain, IoT and others which use machine learning and data science are welcome, if they are connected with information management and data driven decision making. Case studies which demonstrate a practical application of the methods and practices of projects using data science and information management would also be welcome.

International Journal of Information Management Data Insights

International Journal of Intelligent Networks

ISSN: 2666-6030

International Journal of Intelligent Networks (IJIN) presents the most recent challenges and developments in computer networks with the objective of promoting awareness and best practices for the real-world problems. It aims to present new directions for further research and technology improvements in this important area. International Journal of Intelligent Networks (IJIN) presents research findings related to intelligent network of computing resources. It therefore invites original and timely research articles in the field of intelligent communication, technology, sustainability and social communication related research areas of current importance. IJIN will publish original papers, review papers, technical reports, case studies and book reviews. Topics of interest to the journal include, but are not limited to: Signal processing architectures, algorithms and applications Image computing and data science technology Smart sensor and agent networks Green technologies in information, computing and communication systems Intelligent computing for sustainable energy Communication network architectures and security Bioinformatics and network computation Wireless communication and network protocols Network operation and management Intelligent and information systems Network coding theory and algorithms Smart vehicular communication and technology Future Advancements