2024 Big Data Editorial: Research Contributions #bigdata #iot #ai

We have published a Big Data Mary Ann (Q1) editorial in advance. It has taken us one more year between 2022 and 2024 (instead of 2023), just mainly to ensure a good quality of selection and also the guest editors, particularly the lead, can fully or almost fully understand the authors' work, so that we can make suitable video scenes about their work. No one has done that before, and we want to ensure that our work has the right selection, and we also select the research outputs closest to the theme of the special issue so we can demonstrate our leadership, impact, and dedication to the research community.

Research is not just determined by journal ranking but real contributions and impact, in which the researchers have demonstrated contributions and impact in details. That's the main reason of creating this video.

This video was created to help the public and anyone interested in understanding such contexts. This topic is helpful to many others, since we need to know updates to smart healthcare wearables and their relations to impact and significance. We have taken scientific approaches to investigate this topic and provide useful analysis and recommendations.

Please consider citing our work if you find it relevant, useful, or inspiring!

Overview
00:00:00 Prof Victor Chang's Special Issue on Big Data and Internet of Things in Complex Information Systems
00:01:08 Unveiling Insights from Five Groundbreaking Studies
00:01:30 GUB: A User Behavior Similarity-based Recommendation Method
00:02:31 Pneumonia Detection Using Enhanced CNN Model on Chest X-Ray Image
00:03:39 gtfs2net: Extraction of GTFS Datasets to Abstract Networks and their Analysis
00:04:37 A Data-driven Analysis Method for the Trajectory of Power Carbon Emission in the Urban Area
00:05:36 Cloud Resource Scheduling Using Multi-strategy Fused Honey Badger Algorithm
00:06:33 Conclusion

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