Array is an international open access multidisciplinary journal encompassing a broad spectrum of topics in computer science, including

    Artificial Intelligence, Machine Learning and Robotics
    Computer Systems and Architecture
    Computer Vision, Speech and Pattern Recognition
    Control & Signal Processing
    Cyber Security
    Data, Knowledge and Intelligent Systems
    Industrial Engineering
    Interdisciplinary Applications
    Medical Informatics and Biomedical Engineering
    Microelectronics and Hardware
    Multimedia and HCI
    Networks and Communications
    Operational Research and Decision Systems
    Scientific Computing
    Software Engineering
    Theoretical Computer Science

Submissions must be novel, technically sound, and clearly presented. Array accepts both technical notes (technical notes are limited to a maximum of 10 pages in the standard Elsevier format) and regular papers. In addition to research papers presenting new results, review articles as well as discussion and opinion papers are also welcome.

Papers meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated expert editorial team, together with an editorial board of hundreds of active researchers from all areas of computer science, ensure that papers move through to publication as fast 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 publicly accessible via a repository of their choosing.

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: software.impacts@elsevier.com

Special Issue on Intelligent Security and Trustworthy Media Analytics (InSeTMA)
Submission Date: 2026-03-01

The special issue aims to bring together cutting-edge research in security, machine learning, multimedia forensics, sentiment analysis, trustworthy AI, and content authenticity verification. This special issue welcomes contributions that address theoretical advances, practical frameworks, and real-world applications shaping the future of secure and intelligent systems.

Guest editors:

Dr. Imad Rida; Dr. Julian Fierrez

Special issue information:

The growing integration of artificial intelligence, multimedia processing, and data-driven analytics has transformed the way we handle security, privacy, and digital content verification. At the same time, emerging challenges (such as identity spoofing, adversarial attacks, misinformation, and synthetic content generation) require the development of trustworthy and intelligent solutions.The special issue aims to bring together cutting-edge research in security, machine learning, multimedia forensics, sentiment analysis, trustworthy AI, and content authenticity verification. This special issue welcomes contributions that address theoretical advances, practical frameworks, and real-world applications shaping the future of secure and intelligent systems.

    Advanced methods for identity verification and authentication
    Detection and mitigation of synthetic and manipulated media
    Privacy-preserving analytics and secure data sharing
    Sentiment, emotion, and opinion mining in security contexts
    Adversarial machine learning and attack resilience
    Trustworthy and explainable AI for secure systems
    Multimedia forensics and provenance tracking
    Deep learning architectures for secure information processing
    Cross-modal fusion for intelligent decision-making
    Large-scale datasets and benchmarks for trustworthy analytics
    Intelligent graph learning and spatio-temporal modeling

Manuscript submission information:

Submission Link: https://www.editorialmanager.com/ARRAY/default.aspx 

Submission deadline: 1st March 2026

Article type name: "VSI: ARRAY_InSeTMA"

Keywords:

Trustworthy AI, Multimedia Security, Deepfake Detection, Sentiment Analysis, Biometrics, Prediction, Intelligent Systems, Modeling, Graph Learning