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Collection
Emerging Technologies and Applications for AIoT
- Submission status
- Closed
Artificial Intelligence of Things (AIoT), refers to the integration of artificial intelligence (AI) technologies with the Internet of Things (IoT). This integration allows AIoT end, edge, and server devices connected to the Internet, such as smart home devices and industrial equipment, to collect, analyze, and act on data in real time. The combination of AI and IoT enables a wide range of applications, including predictive maintenance, automation, and improved decision-making.
Although the advent of AIoT has spawned a large number of new technologies and applications, the convergence of IoT and AI also poses several emerging research challenges. In response to these challenges, one significant step is to connect various things in a collaborative manner to avoid unnecessary energy consumption, uncertain security, unstable performance, etc., for AIoT. Another significant step is to effectively combine AIoT with other advanced technologies (such as 5G, cloud computing, edge computing, blockchain, etc.) to achieve integration and break down barriers.
This special issue aims to provide the academic and industrial communities a venue covering all aspects of state-of-the-art emerging technologies, methods, and systems at the crossing of AI and IoT, to advance their joint applications.
Editors
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Huan Zhou
Northwestern Polytechnical University, China zhouhuan117@163.com
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Tian Wang
Bei**g Normal University, China
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F. Richard Yu
Carleton University, Canada
Articles (4 in this collection)
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A lightweight and real-time responsive framework for various visual tasks via neural architecture search
Authors (first, second and last of 5)
- Zixiao Wang
- Jiansu Wang
- Tianzhang **ng
- Content type: Regular Paper
- Published: 21 May 2024
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Ef-kpress: joint event-frame compression and video generation with event cameras for low-bandwidth VR streaming
Authors
- Guangyong Hao
- Yiran Shen
- Feng Li
- Content type: Regular Paper
- Published: 20 April 2024
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C4y: a metric for distributed IoT clustering
Authors
- Yewang Chen
- Yuanyuan Yang
- Yi Chen
- Content type: Regular Paper
- Published: 23 February 2024
- Pages: 133 - 149