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Journal of Environmental Management
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October 13, 2022
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
The Science of the Total Environment
|
April 12, 2019
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Yi Wang, Zhice Fang, Haoyuan Hong
The Science of the Total Environment
|
July 27, 2018
Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India
Mehebub Sahana, Haoyuan Hong, Haroon Sajjad
The Science of the Total Environment
|
February 26, 2020
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
Haoyuan Hong, Junzhi Liu, A-Xing Zhu
The Science of the Total Environment
|
December 9, 2019
Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
Romulus Costache, Haoyuan Hong, Quoc Bao Pham
Bioengineered
|
March 9, 2022
RNA-seq and integrated network analysis reveals the hub genes and key pathway of paclitaxel inhibition on Adriamycin resistant diffuse large B cell lymphoma cells
Haoyuan Hong, Bin Luo, Yingying Qin, et al.
Journal of Environmental Management
|
April 3, 2021
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
The Science of the Total Environment
|
July 7, 2020
Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
Journal of Environmental Management
|
August 12, 2020
A novel optimized repeatedly random undersampling for selecting negative samples: A case study in an SVM-based forest fire susceptibility assessment
Xianzhe Tang, Takashi Machimura, Jiufeng Li, et al.
The Science of the Total Environment
|
March 13, 2019
Assessing deforestation susceptibility to forest ecosystem in Rudraprayag district, India using fragmentation approach and frequency ratio model
Mehebub Sahana, Haoyuan Hong, Haroon Sajjad, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Journal of Environmental Management
|
October 13, 2022
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
The Science of the Total Environment
|
April 12, 2019
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Yi Wang, Zhice Fang, Haoyuan Hong
The Science of the Total Environment
|
July 27, 2018
Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India
Mehebub Sahana, Haoyuan Hong, Haroon Sajjad
The Science of the Total Environment
|
February 26, 2020
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
Haoyuan Hong, Junzhi Liu, A-Xing Zhu
The Science of the Total Environment
|
December 9, 2019
Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
Romulus Costache, Haoyuan Hong, Quoc Bao Pham
Bioengineered
|
March 9, 2022
RNA-seq and integrated network analysis reveals the hub genes and key pathway of paclitaxel inhibition on Adriamycin resistant diffuse large B cell lymphoma cells
Haoyuan Hong, Bin Luo, Yingying Qin, et al.
Journal of Environmental Management
|
April 3, 2021
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
The Science of the Total Environment
|
July 7, 2020
Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
Journal of Environmental Management
|
August 12, 2020
A novel optimized repeatedly random undersampling for selecting negative samples: A case study in an SVM-based forest fire susceptibility assessment
Xianzhe Tang, Takashi Machimura, Jiufeng Li, et al.
The Science of the Total Environment
|
March 13, 2019
Assessing deforestation susceptibility to forest ecosystem in Rudraprayag district, India using fragmentation approach and frequency ratio model
Mehebub Sahana, Haoyuan Hong, Haroon Sajjad, et al.
Page
of 2