Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology
To discuss the analysis and evaluation of highway landslides, the application of data mining methods combined with deep learning frameworks in geologic hazard evaluation and monitoring is explored preliminarily. On the premise of optimizing the processing of landslide images, first, the Blind/Refere...
Saved in:
Main Authors: | Feng He, Chunxue Liu, Hongjiang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/2871770 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating spatial clustering and multi-source geospatial data for comprehensive geological hazard modeling in Hunan Province
by: Weifeng Xiao, et al.
Published: (2025-01-01) -
Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data
by: Yifan Fan
Published: (2022-01-01) -
Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks
by: Ying Yu, et al.
Published: (2019-12-01) -
A Methodology of Real-Time Data Fusion for Localized Big Data Analytics
by: Sohail Jabbar, et al.
Published: (2018-01-01) -
Applying Big Data Based Deep Learning System to Intrusion Detection
by: Wei Zhong, et al.
Published: (2020-09-01)