Search Results - "Xing, A."

Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble by Hong, Haoyuan, Liu, Junzhi, Zhu, A-Xing

“…The major target of this study is to design two novel hybrid integration artificial intelligent models, which are denoted as LADT-Bagging and FPA-Bagging, for…”
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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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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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Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China by Hong, Haoyuan, Tsangaratos, Paraskevas, Ilia, Ioanna, Liu, Junzhi, Zhu, A-Xing, Xu, Chong

“…The main objective of the present study was to utilize Genetic Algorithms (GA) in order to obtain the optimal combination of forest fire related variables and…”
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Transformer-Based Semantic Segmentation for Extraction of Building Footprints from Very-High-Resolution Images by Song, Jia, Zhu, A-Xing, Zhu, Yunqiang

“…Semantic segmentation with deep learning networks has become an important approach to the extraction of objects from very high-resolution remote sensing…”
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Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling by Chen, Wei, Shahabi, Himan, Shirzadi, Ataollah, Hong, Haoyuan, Akgun, Aykut, Tian, Yingying, Liu, Junzhi, Zhu, A-Xing, Li, Shaojun

“…Globally, and in China, landslides constitute one of the most important and frequently encountered natural hazard events. In the present study, landslide…”
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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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Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China by Chen, Wei, Peng, Jianbing, Hong, Haoyuan, Shahabi, Himan, Pradhan, Biswajeet, Liu, Junzhi, Zhu, A-Xing, Pei, Xiangjun, Duan, Zhao

“…•Bayes' net, RBF classifier, logistic model tree and random forest models were applied for landslide susceptibility modelling.•Information gain method was used…”
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Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution by Hong, Haoyuan, Panahi, Mahdi, Shirzadi, Ataollah, Ma, Tianwu, Liu, Junzhi, Zhu, A-Xing, Chen, Wei, Kougias, Ioannis, Kazakis, Nerantzis

“…•ANFIS was coupled with GA and DE for flood susceptibility modelling.•195 flood events were used for the ANFIS training.•SWARA method was used to evaluate the…”
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Land-use change modeling with cellular automata using land natural evolution unit by Xu, Quanli, Zhu, A-Xing, Liu, Jing

“…•Proposed a new concept of determining cellular units using the natural evolutionary unit of land (LNU).•LNU can reflect the spatial characteristics of land…”
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Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction by Su, Hongjun, Wu, Zhaoyue, Zhu, A-Xing, Du, Qian

“…Hyperspectral anomaly detection methods based on representation model have attracted much attention in recent years. In the method, a background dictionary is…”
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Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective by Lü, Guonian, Batty, Michael, Strobl, Josef, Lin, Hui, Zhu, A-Xing, Chen, Min

“…Great strides have been made in Geographic Information Systems (GIS) research over the past half-century. However, this progress has created both opportunities…”
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Can citizen science assist digital soil mapping? by Rossiter, David G., Liu, Jing, Carlisle, Steve, Zhu, A.-Xing

“…The essential element of citizen science is the participation of non-specialists in scientific research. The citizen acts as an observer or experimenter within…”
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Mapping high resolution National Soil Information Grids of China by Liu, Feng, Wu, Huayong, Zhao, Yuguo, Li, Decheng, Yang, Jin-Ling, Song, Xiaodong, Shi, Zhou, Zhu, A-Xing, Zhang, Gan-Lin

“…[Display omitted] Soil spatial information has traditionally been presented as polygon maps at coarse scales. Solving global and local issues, including food…”
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Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping by Zhu, A-Xing, Miao, Yamin, Yang, Lin, Bai, Shibiao, Liu, Junzhi, Hong, Haoyuan

“…Presence-absence methods are widely-used data-driven models for landslide susceptibility mapping. Landslide absence data included in the training data of…”
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Revealing the scale- and location-specific controlling factors of soil organic carbon in Tibet by Zhou, Yin, Chen, Songchao, Zhu, A-Xing, Hu, Bifeng, Shi, Zhou, Li, Yan

“…•Scale- and location-specific variations in SOC of Tibet were unraveled.•The variance of SOC was partitioned by climate, elevation and other factors.•Effects…”
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A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) by Hong, Haoyuan, Liu, Junzhi, Zhu, A-Xing, Shahabi, Himan, Pham, Binh Thai, Chen, Wei, Pradhan, Biswajeet, Bui, Dieu Tien

“…This study proposed a hybrid modeling approach using two methods, support vector machines and random subspace, to create a novel model named random…”
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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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Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China) by Hong, Haoyuan, Liu, Junzhi, Zhu, A-Xing

“…This study assesses the landslide susceptibility of the Youfang area, China. For this purpose, four advanced artificial intelligence models, namely, Naïve…”
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Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method by Zeng, Canying, Yang, Lin, Zhu, A-Xing, Rossiter, David G., Liu, Jing, Liu, Junzhi, Qin, Chengzhi, Wang, Desheng

“…The present regression models in digital soil mapping usually assume that relationships between soil properties and environmental variables are always fixed…”
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