4.6 Article

Prediction of Heavy Rain Damage Using Deep Learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Civil

A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

Kanghyeok Lee et al.

KSCE JOURNAL OF CIVIL ENGINEERING (2020)

Article Engineering, Civil

Snow avalanche hazard prediction using machine learning methods

Bahram Choubin et al.

JOURNAL OF HYDROLOGY (2019)

Article Engineering, Electrical & Electronic

Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection A survey

Junwei Han et al.

IEEE SIGNAL PROCESSING MAGAZINE (2018)

Article Biochemistry & Molecular Biology

SPIN2: Predicting sequence profiles from protein structures using deep neural networks

James O'Connell et al.

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2018)

Article Meteorology & Atmospheric Sciences

Development of Heavy Rain Damage Prediction Model Using Machine Learning Based on Big Data

Changhyun Choi et al.

ADVANCES IN METEOROLOGY (2018)

Article Geosciences, Multidisciplinary

Predicting hurricane wind damage by claim payout based on Hurricane Ike in Texas

Ji-Myong Kim et al.

GEOMATICS NATURAL HAZARDS & RISK (2016)

Article Computer Science, Information Systems

Deep learning approach for active classification of electrocardiogram signals

M. M. Al Rahhal et al.

INFORMATION SCIENCES (2016)

Article Computer Science, Interdisciplinary Applications

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

J. N. Goetz et al.

COMPUTERS & GEOSCIENCES (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Environmental Sciences

Dependence of US hurricane economic loss on maximum wind speed and storm size

Alice R. Zhai et al.

ENVIRONMENTAL RESEARCH LETTERS (2014)

Article Geosciences, Multidisciplinary

Multi-variate flood damage assessment: a tree-based data-mining approach

B. Merz et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2013)

Article Engineering, Geological

Landslide susceptibility assessment using SVM machine learning algorithm

Milos Marjanovic et al.

ENGINEERING GEOLOGY (2011)