Journal of Intelligent Communication (JIC) manages topical collections in order to curate papers on specific subjects. The objective is to foster a community of authors and readers who can engage in discussions about the latest research and explore new ideas and research directions. These topical collections are lead and supervised by Collection Editors who possess expertise in the respective field and oversee the editorial process for the papers. All the papers published in a topical collection are consolidated on a dedicated page of the journal's website. If you have any queries regarding a topical collection, please reach out to the Editorial Office.

Big Data Analysis and Deep Learning for Smart Technologies and Applications

Collection Editors: Dr. Xin Lu Dr. Xiaoxia Li Dr. Dehao Wu and Prof. Dr. Yanguo Jing
Submission Deadline: 25 August 2024

Keywords: Big data analytics; Smart technologies and applications; Deep learning algorithms; Smart integration of AI assisted cloud technology; Deep learning technology for computational modelling; AI technology for smart evaluation and prediction; Digital twins; Predictive maintenance

Intelligent Decision and Control of Unmanned Systems

Collection Editors: Prof. Dr. Bo Li Prof. Dr. Jia Ren Dr. Chunwei Tian Dr. Cong Jin and Dr. Kaifang Wan
Submission Deadline: 20 June 2024

Keywords: Intelligent Decision; Autonomous control; Swarm intelligence; Deep Reinforcement Learning; Unmanned system

Innovative Audiovisual Application Systems in Journalism Education and Media Literacy

Collection Editors: Dr. Maria Matsiola
Submission Deadline: 28 February 2025

Keywords: Journalism education; Audiovisual application systems; Media literacy; Immersive media; VR, AR and 360-degree audiovisual productions; Interactive media

Communicating with Generative AI: Prompt Engineering, Ethical Considerations, and Practical Applications

Collection Editors: Dr. Thomas F Heston , Dr. Siddhartha Ghosh and Dr. Rajvardhan Patil
Submission Deadline: 01 November 2024

Keywords: Prompt engineering; Large language models; Natural language processing; Human-AI interaction; Machine ethics