Journal Information

Computers & Electrical Engineering

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Impact Factor:
4.9
Publisher:
Elsevier
ISSN:
0045-7906
Viewed:
45987
Tracked:
45

Call For Papers

Computers & Electrical Engineering is an academic journal published by Elsevier. (ISSN 0045-7906, impact factor 4.9).

The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like: Signal Processing Power Engineering (including renewable and green energies) Artificial Intelligence - methods and applications Security Privacy Communication The journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.sciencedirect.com/journal/computers-and-electrical-engineering/special-issues.
Last updated by Dou Sun in

Special Issues

Special Issue on Recent Advances in Multimedia and Multimodal Data Security Submission Date: 2026-05-31 With the development of Internet technologies, large volumes of multimedia and more generally, multimodal data, can easily be shared among different users or entities for the purpose of diagnosis, analysis, search and recommendation, prediction etc. in a variety of critical application contexts with no hard-copy backups being kept. Due to new development in science and technology, different methods are used to copy, recreate, distribute and store these contents easily for many real-world applications. However, various criminal offences such as identity theft, copyright violation, misuse of personal and medical information, authenticity and confidentiality is being made every day in our daily life and greatly impact on financial loss. Malicious actors can extract sensitive information or manipulate outcomes. These challenges are particularly critical in multimedia and multimodal environments, where the convergence of different data types—such as images, audio, and video—presents unique opportunities and risks. Applications span diverse domains, including smart healthcare, intelligent transportation, industrial automation, robotics, media and entertainment, legal proceedings, news, insurance, and business sectors. Therefore, addressing these challenges has been an interesting problem for researchers in the field. Also, by using techniques such as data augmentation and generative adversarial networks, we can automatically generate large-scale multimedia and multimodal data to train the AI models. However, new attacks are still being developed and the protection of the multimedia systems from these attacks will continue to be crucial. Motivated by these facts, this special issue targets the researchers from both academia and industrial to explore and share new ideas, approaches, theories and practices with focus on multimedia and multimodal data security and privacy solutions for real-world applications. Guest editors: Amit Kumar Singh National Institute of Technology Patna, Patna, India Stefano Berretti University of Florence, Florence, Italy Manuscript submission information: Manuscript submission open date: December 31, 2025 Manuscript submission deadline: May 31, 2026 You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact the Guest Editors. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of “VSI: Multimodal Data Security” when submitting your manuscript online at the journal’s submission platform Editorial Manager®. Both the Guide for Authors and the submission portal could also be found on the Journal Homepage. Keywords: Multimedia; Multimodal; Data Hiding; Encryption; Security; Privacy; Blockchain; Cybersecurity; Social Media; Biometrics; Attacks; Forensics; Deepfake
Last updated by Dou Sun in

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