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- ...
People also ask
What is the inference of disaster management?
What devices are used to detect natural disasters?
What are two ways in which remote sensing can be used in disaster management?
How is AI used in predicting and managing natural disasters?
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 ...