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In this paper, we propose a lightweight disaster classification model that recognizes four types of natural disaster plus one non-disaster class. To support ...
In this paper, we propose a lightweight disaster classification model that identifies four types of natural disasters and one non-disaster class. The optimized ...
This model is designed to capture the temporal dependencies within the input video, enabling the classification of cyclone, flood, earthquake, and wildfire ...
Efficient Device-Edge Inference for Disaster Classification. N. Yang, M. Tham, S. Chua, Y. Lee, Y. Owada, and S. Poomrittigul. ICUFN, page 314-319. IEEE ...
May 17, 2024 · In this technical insight article, you will grasp the importance of edge computing and its role to enhance disaster management as well as examples of real- ...
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Methodological review of three natural disaster management systems using advanced artificial intelligence algorithms.
Aug 8, 2024 · Efficient device-edge inference for disaster classification. In: 2022 Thirteenth International Conference on ubiquitous and future networks ...
Feb 23, 2023 · This study investigates system techniques, such as batched inferencing, AI multi-tenancy, and cluster of AI accelerators, which can significantly enhance the ...
Real-time inference can effectively prevent task failures caused by latency. Currently, many IoVT systems rely on a centralized cloud computing architecture, as ...
Jul 3, 2024 · This paper examines different machine learning and deep learning models for the task of disaster tweet classification and by analyzing the ...