Multimedia computer systems can manage digital data encompassing text, photos, music, and full-motion videos, which can be manipulated, deleted, imported, stored in the system's memory, and accessed as needed. Networked multimedia computing systems can interconnect multiple computer networks to exchange digital data. The development of multimedia computer systems operates within an ever-evolving intelligent computing environment. In the networked future, computer messaging and conference systems will emerge as vital sources of information. Within multimedia computing, critical considerations include software systems, hardware, networking, human resources, and risk management. Advanced intelligent multi-agent systems will drive the development of hyperscale computing technologies to mitigate multimedia computing challenges. Addressing these challenges necessitates designers of intelligent systems to prioritize hypermedia systems as an essential field for integrating specific functionalities.
Augmented Reality (AR) and Virtual Reality (VR) applications have gained popularity within the medical industry, demonstrating the ability to enhance user engagement, a challenge often encountered with conventional web platforms, particularly in tasks requiring hands-on interaction. Artificial intelligence (AI) and machine learning (ML), especially in multimedia, have witnessed growing adoption in academia and business. Deep learning advancements have enabled real-world problem-solving through image analysis and interpretation. However, intelligent multi-agent systems are particularly designed to address the challenges of managing diverse media types, such as audio, video, images, and other formats.
This special issue aims to bring original research and review articles focusing on investigating and developing innovative hyperscale computing technologies in intelligent multimedia systems. These show amazing potential for enhancing user outcomes in numerous fields.

Recommended topics (but not limited to)

Topics of interest include, but are not limited to:

• Internet of Multimedia Things (IoMT): Innovations and applications
• Cutting-edge techniques to implement hyperscale multimedia systems in healthcare
• Advanced intelligent approaches for signal and image processing
• Enhancing multimedia content quality prediction through human-computer interaction
• Innovations in risk management: Leveraging Fog/Edge/Cloud computing
• Advancements in AR and VR technologies in communication networks
• Exploring Human World Interaction (HWI) within cognitive communications
• Strategies and technologies for multimedia security, privacy, and rights management
• Harnessing artificial intelligence in mixed reality environments
• Evolution of multi-network systems: Integration with machine learning
• Deep learning for root cause analysis through intelligent multimedia systems
• Innovative neural network architectures for multimedia applications
• Innovations in multimedia social networking and data mining

Important dates

Submission deadline: 30 September 2024, 15 March 2025

Authors notification: 1 December 2024, 15 June 2025

Revision submission: 15 December 2024 15 August 2025

Publication deadline: 1 September 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Dr. T. Thamaraimanalan (Managing Guest Editor), Associate Professor, Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India, email: thamaraimanalan.t@sece.ac.in

Dr. T. Thamaraimanalan is an Associate Professor in the Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He received a PhD in Information and Communication Engineering at Anna University, Chennai. He received a Bachelor of Engineering and Master of Technology from Anna University, India. Furthermore, he is the author/co-author of more than 80 papers in journals, conferences, and book chapters, including Elsevier Cognitive Systems Research, IEEE Access, Springer National Academy of Science Letters, Wiley International Journal of Communication Systems, MDPI Sensors, Sustainability and IETE Journal of Research. He is a reviewer in many journals such as IEEE, Elsevier, Springer, Taylor & Francis, Wiley, Emerald, and IGI Global Journals and has reviewed more than 350 research papers. He serves as Lead Guest Editor in SCIE/Scopus/EI indexed Journals. He also served as keynote speaker, advisory committee member, and IEEE/Springer international conference session chair. He is currently a professional society member of IEEE, ISTE, IET, WASET, and IAENG. He received a research grant of One Crore from DRDO and the Best Faculty Award and Emerging Researcher Award for his contribution towards teaching and research. His research interests include Artificial Intelligence, Machine Learning, Internet of Things (IoT) and Wireless Sensor Networks.

Dr. Ke-Lin Du, Associate Professor, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada, email: kldu@ece.concordia.ca

Dr. Ke-Lin Du received the PhD in electrical engineering from Huazhong University of Science and Technology, China, in 1998. He founded Xonlink Inc., China in 2014. He was Chief Scientist at Enjoyor Inc., Hangzhou, China from 2012 to 2014. He became an Affiliate Associate Professor at Department of Electrical and Computer Engineering, Concordia University in 2011 and an Affiliate Professor in 2023, where he was on research staff from 2001 to 2010. He was on technical/research staff with Huawei Technologies, China Academy of Telecommunication Technology, The Chinese University of Hong Kong, and The Hong Kong University of Science and Technology. He has coauthored (with M. N. S. Swamy) 5 books (Neural Networks in a Soft computing Framework, Springer, London, 2006; Wireless Communication Systems, Cambridge University Press, New York, 2010; Neural Networks and Statistical Learning, Springer, London, 2014, and 2nd edition, 2019; Search and Optimization by Metaheuristics, Springer, 2016), and coedited 13 books (Springer, 2021-2022). He has also published over 50+ papers, and has 6 granted U.S. patents and 30+ Chinese patents. Presently, his research interests cover signal processing, wireless communications, and machine learning. He has co-supervised 13 graduate students. He has been a Senior Member of the IEEE since 2009. He is/was on Editorial Board or as Associate Editor of a dozen journals, including IET Signal Processing (2007), Circuits Systems & Signal Processing (2009), Mathematics (2021), AI (2021), IEEE Spectrum Chinese Language Edition (2012), and Scientific Reports (2022). He served as Program Chair of 100 international conferences. He was included in Marquis Who's Who in 2018. He was on the Stanford Lists of World Top 2% Most Cited Scientists for four years in a row (2019-2022).

Dr. Fuqian Shi, Research Fellow, Rutgers University-New Brunswick, New Jersey, USA, email: fuqian.shi@rutgers.edu

Dr. Fuqian Shi (Senior Member, IEEE) received a Ph.D. in engineering from the College of Computer Science and Technology, Zhejiang University. He was a Visiting Associate Professor with the Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, USA, from 2012 to 2014. He is a research fellow at Rutgers University - New Brunswick, NJ, USA. He serves more than 30 committee board memberships for international conferences. He has published more than 80 journal articles and conference proceedings. His research interests include fuzzy inference systems, artificial neural networks, and biomechanical engineering. He also serves as an Associate Editor for the International Journal of Ambient Computing and Intelligence (IJACI), the International Journal of Rough Sets and Data Analysis (IJRSDA), and a Special Issue Editor of Fuzzy Engineering and Intelligent Transportation in Information: An International Interdisciplinary Journal. He is currently working at Rutgers University, New Brunswick, USA. He has published more papers in standard journals and conferences. He has been a committee member at many international conferences and on the editorial board of refereed journals. He acted as a reviewer in many reputed journals. He is a member of professional bodies like IEEE, IEEE Computer Society, Man and Cybernetics, Computational Information System, ACM, Zhejiang Provincial Industrial Design Association, and Wenzhou City Information Management Association. His research interests include computer networks, computer programming, computer graphics, image processing, data structure, operating systems, and medical informatics.

Dr. Ahmed A. Elngar, Associate Professor, Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt , email: ahmedelnagar@fcis.bsu.edu.eg

Dr. Ahmed A. Elngar is an Associate Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, He is an Adjunct Professor at the School of Technology, Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG). He has more than 106 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment which were published in Elsevier, Springer and Taylor & Francis. He is a collaborative researcher and he is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. Dr. Elngar is an Editor and Reviewer of many international journals around the world and won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the Best Young Researcher Award (Male) (Below 40 years)”, Global Education and Corporate Leadership Awards (GECL-2018). He has successfully guided 15 M.Sc and 8 Ph.D. scholars who are working under his supervision. He also serves as an external examiner thesis for Ph. D scholars at many universities all around the world.