混合深度学习模型,增强的向日优化,用于洪水和地震检测
Phalguna Krishna E S1, Venkata Nagaraju Thatha2, Gowtham Mamidisetti3
1Department of Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to Be University, Bengaluru Campus, India.
Heliyon
|November 2, 2023
概括
这项研究引入了一种混合深度学习系统,用于实时监测洪水和地震区域. 改进的日优化提高了效率,允许及时发出警报,减少了灾难准备的错误警报.
科学领域:
- 灾害管理 灾害管理
- 人工智能的人工智能
- 地质物理学 地质物理学
背景情况:
- 洪水和地震等自然灾害造成了巨大的破坏和经济影响.
- 有效的灾难准备需要强大的监测和预警系统.
- 目前的系统往往缺乏对快速演变的自然事件所需的实时能力.
研究的目的:
- 开发和评估混合深度学习系统,用于对地震和洪水影响地区的实时监测.
- 通过改进的优化算法,提高灾难检测的效率和准确性.
- 为当局提供及时的警报,并支持应急响应工作.
主要方法:
- 利用混合深度学习方法来分析来自脆弱地区的数据.
- 实现了改进的日优化 (ESFO) 算法以优化系统性能.
- 进行实践评估,以确定实时地震检测的最佳参数.
主要成果:
- 拟议的系统有效监测易发生地震和洪水的地区.
- 该ESFO算法提高了深度学习模型的效率.
- 实现了实时地震检测,并降低了错误报警率.
- 在动态,现实世界的场景中成功部署.
结论:
- 开发的混合深度学习系统为实时自然灾害监测提供了可行的解决方案.
- 该ESFO算法显著提高了灾难检测模型的性能.
- 该系统为改善灾害准备和应对提供了可靠的工具.
相关概念视频
Responses to Drought and Flooding
10.7K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.7K
Survival Tree
88
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
88
Applications of GIS: Disaster Management and Emergency Response
89
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
89
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
51
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
51


