Search Results - "Hong, Haoyuan"

Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model by Hong, Haoyuan

“…•Hybrid model was proposed to model landslide susceptibility.•SVM method were used to select variables.•Best-first decision tree hybrid with Decorate is…”
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Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China by Wang, Yi, Fang, Zhice, Hong, Haoyuan

“…Assessments of landslide disasters are becoming increasingly urgent. The aim of this study is to investigate a convolutional neural network (CNN) framework for…”
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Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models by Hong, Haoyuan, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat

“…Landslides are an important natural hazard that causes a great amount of damage around the world every year, especially during the rainy season. The Lianhua…”
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Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India by Sahana, Mehebub, Hong, Haoyuan, Sajjad, Haroon

“…This research paper analyzed urban spatial pattern and trend of urban growth in Kolkata urban agglomeration, India using urban sprawl matrix during 1990–2000 &…”
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Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines by Hong, Haoyuan, Pradhan, Biswajeet, Xu, Chong, Tien Bui, Dieu

“…Preparation of landslide susceptibility map is the first step for landslide hazard mitigation and risk assessment. The main aim of this study is to explore…”
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Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics by Costache, Romulus, Hong, Haoyuan, Wang, Yi

“…The detection of zones exposed to flash-flood and also the torrential valleys on which flash-floods are propagated, represents a crucial measure intended to…”
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A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility by Chen, Wei, Xie, Xiaoshen, Wang, Jiale, Pradhan, Biswajeet, Hong, Haoyuan, Bui, Dieu Tien, Duan, Zhao, Ma, Jianquan

“…The main purpose of the present study is to use three state-of-the-art data mining techniques, namely, logistic model tree (LMT), random forest (RF), and…”
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A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China by Hong, Haoyuan, Ilia, Ioanna, Tsangaratos, Paraskevas, Chen, Wei, Xu, Chong

“…The present study proposed a hybrid fuzzy weight of evidence model for constructing a landslide susceptibility map in the Wuyuan area, China, where disastrous…”
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Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping by Hong, Haoyuan, Miao, Yamin, Liu, Junzhi, Zhu, A-Xing

“…This study aims to explore the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping…”
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Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping by Fang, Zhice, Wang, Yi, Peng, Ling, Hong, Haoyuan

“…Landslides are regarded as one of the most common geological hazards in a wide range of geo-environment. The aim of this study is to assess landslide…”
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Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping by Hong, Haoyuan, Tsangaratos, Paraskevas, Ilia, Ioanna, Loupasakis, Constantinos, Wang, Yi

“…The main objective of the current study was to present a methodological approach that combines Information Theory, a neural network and meta-heuristic…”
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Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China by Tsangaratos, Paraskevas, Ilia, Ioanna, Hong, Haoyuan, Chen, Wei, Xu, Chong

“…The main objective of the present study was to produce a landslide susceptibility map by implementing a novel methodology that combines Information Theory and…”
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Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China by Hong, Haoyuan, Tsangaratos, Paraskevas, Ilia, Ioanna, Liu, Junzhi, Zhu, A-Xing, Chen, Wei

“…In China, floods are considered as the most frequent natural disaster responsible for severe economic losses and serious damages recorded in agriculture and…”
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Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) by Hong, Haoyuan, Liu, Junzhi, Bui, Dieu Tien, Pradhan, Biswajeet, Acharya, Tri Dev, Pham, Binh Thai, Zhu, A-Xing, Chen, Wei, Ahmad, Baharin Bin

“…Landslides are a manifestation of slope instability causing different kinds of damage affecting life and property. Therefore, high-performance-based landslide…”
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A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods by Khosravi, Khabat, Shahabi, Himan, Pham, Binh Thai, Adamowski, Jan, Shirzadi, Ataollah, Pradhan, Biswajeet, Dou, Jie, Ly, Hai-Bang, Gróf, Gyula, Ho, Huu Loc, Hong, Haoyuan, Chapi, Kamran, Prakash, Indra

“…[Display omitted] •MCDM and machine learning models were compared for flood modelling.•Results show that machine learning is more potential for flood…”
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A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods by Zhu, A-Xing, Miao, Yamin, Liu, Junzhi, Bai, Shibiao, Zeng, Canying, Ma, Tianwu, Hong, Haoyuan

“…The absence data (samples) for landslide susceptibility mapping using data-driven methods are not available directly and often approximated by locations where…”
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GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method by Chen, Wei, Xie, Xiaoshen, Peng, Jianbing, Shahabi, Himan, Hong, Haoyuan, Bui, Dieu Tien, Duan, Zhao, Li, Shaojun, Zhu, A-Xing

“…Taibai County is a mountainous area in China, where rainfall-induced landslides occur frequently. The purpose of this study is to assess landslide…”
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Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines by Hong, Haoyuan, Pradhan, Biswajeet, Jebur, Mustafa Neamah, Bui, Dieu Tien, Xu, Chong, Akgun, Aykut

“…The main objective of this study is to investigate the potential application of GIS-based Support Vector Machines (SVM) with four kernel functions, i.e.,…”
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Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia by Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Alizadeh, Mohsen, Chen, Wei, Mohammadi, Ayub, Ahmad, Baharin, Panahi, Mahdi, Hong, Haoyuan, Tian, Yingying

“…Since landslide detection using the combination of AIRSAR data and GIS-based susceptibility mapping has been rarely conducted in tropical environments, the aim…”
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The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China by Chen, Zhuo, Ye, Fei, Fu, Wenxi, Ke, Yutian, Hong, Haoyuan

“…The selection of an appropriate map resolution is highly important for landslide susceptibility assessment. No consistent objective criteria, however, are…”
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