Big Data Analytics and Edge Computing: Recent Trends and Future

Dear Colleagues,

We are pleased to invite you to contribute to the special issues of Big Data and Cognitive Computing: entitled “Big Data Analytics and Edge Computing: Recent Trends and Future”. The rapid development of large models brings significant technical improvement to big data analytics. Meanwhile, the development of edge computing also makes the application of big data analytical models more convenient and rapid.

The main focus of this Special Issue lies in the exploration and presentation of cutting-edge technologies at the intersection of big data analytics and edge computing. Delving into the intricacies of this dynamic field, we aim to showcase the latest advancements encompassing large models, multi-modal fusion, and an array of innovative edge computing technologies, including but not limited to image processing, video understanding, and sound recognition. Our overarching objective is to unveil pioneering technological solutions that not only drive the evolution of big data tools but also significantly impact the outcomes of big data platforms integrated with edge computing infrastructure. Beyond merely showcasing technological advancements, this Special Issue serves as a platform for researchers to delve into specific areas of big data application. We actively encourage contributions that explore the transformative potential of big data analytics in domains as diverse as healthcare, digital economics, environmental protection, etc. Through comprehensive research inquiries and insightful analyses, we aim to foster a rich dialogue that transcends disciplinary boundaries, paving the way for innovative solutions and impactful outcomes in the realm of big data and edge computing.

In this Special Issue, both original research articles and reviews are welcome. Research topics include, but are not limited to, the following topics:

• Computer vision;
• Natural language processing;
• Large-scale foundation model;
• Big data analytics in healthcare;
• Privacy-preserving techniques in big data analytics and deep learning;
• Blockchain and AI integration;
• AI-powered vital sign analytics;
• Big data and deep learning in low-carbon traffic and smart traffic;
• Big data analysis in economics and finance;
• Analysis of artificial intelligence model for edge computing;
• Forecasting of large model and deep learning;
• Digital twins and 3D reconstruction;
• Reinforcement learning for big data analysis. 

Dr. Li Xiao
Dr. Zhu Meng
Dr. Zichun Yan
Dr. Minling Zhu
Dr. Jose Manuel Oliveira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.