Search Results - "Tien Tay, Lea"
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1
Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm
Published in Geomatics, natural hazards and risk (31-12-2024)“…AbstractLandslide is one of the natural disasters that cause property damages and human injuries. Landslide hazard predictions are crucial measures to reduce…”
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2
A Hybrid Intelligent System Integrating the Cascade Forward Neural Network with Elman Neural Network
Published in Arabian journal for science and engineering (2011) (01-12-2018)“…Cascade forward neural network (CFNN) is a well-known static neural network where the signals move in forward direction only. Dynamic neural network such as…”
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3
Morphological convexity measures for terrestrial basins derived from digital elevation models
Published in Computers & geosciences (01-09-2011)“…Geophysical basins of terrestrial surfaces have been quantitatively characterized through a host of indices such as topological quantities (e.g. channel…”
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4
Modeling and Testing Landslide Hazard Using Decision Tree
Published in Journal of Applied Mathematics (01-01-2014)“…This paper proposes a decision tree model for specifying the importance of 21 factors causing the landslides in a wide area of Penang Island, Malaysia. These…”
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5
Landslide Hazard Analysis Using a Multilayered Approach Based on Various Input Data Configurations
Published in Geosfera Indonesia (Online) (25-04-2021)“…Landslide is a natural disaster that occurs mostly in hill areas. Landslide hazard mapping is used to classify the prone areas to mitigate the risk of…”
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6
Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
Published in Environmental earth sciences (01-08-2014)“…A landslide is one of the natural disasters that occur in Malaysia. In addition to the geological factor and the rain as triggering factor, topographic factors…”
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7
Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network
Published in TheScientificWorld (01-01-2013)“…Landslide is one of the natural disasters that occur in Malaysia. Topographic factors such as elevation, slope angle, slope aspect, general curvature, plan…”
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8
Allometric power-law relationships in a Hortonian fractal digital elevation model
Published in Geophysical research letters (01-03-2004)“…We provide a topologically viable model that is geomorphologically realistic from the point of its Hortonity and general allometric scaling laws. To illustrate…”
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9
Allometric relationships between traveltime channel networks, convex hulls, and convexity measures
Published in Water resources research (01-06-2006)“…The channel network (S) is a nonconvex set, while its basin [C(S)] is convex. We remove open-end points of the channel connectivity network iteratively to…”
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10
Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms
Published in Engineering with computers (01-02-2023)“…To prevent and mitigate landslide risks, landslide susceptibility is an essential tool to plan and manage urban development, especially in hilly regions. This…”
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11
Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia
Published in Bulletin of engineering geology and the environment (01-02-2021)“…This paper aims to compare and develop the influence on different sample sizes and sample ratios when using machine learning (ML) models, i.e., support vector…”
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12
Assessment of Landslide Susceptibility Mapping Using Artificial Bee Colony Algorithm Based on Different Normalizations and Dimension Reduction Techniques
Published in Arabian journal for science and engineering (2011) (01-06-2022)“…In this paper, the artificial bee colony (ABC) algorithm is used to generate landslide susceptibility maps. To the best of our knowledge, it is the first time…”
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13
Three oversampling methods applied in a comparative landslide spatial research in Penang Island, Malaysia
Published in SN applied sciences (01-09-2020)“…Two main problems in landslide spatial prediction research are the lack of landslide samples (minority) to train the models and the misunderstanding of…”
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14
Landslide hazard mapping of Penang Island using dominant factors
Published in 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT) (01-01-2014)“…Landslide is one of the natural disasters in Malaysia and precipitation is the triggering factors for landslide in Malaysia. Besides rainfall factors,…”
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Conference Proceeding -
15
Intelligent Landslide System Based on Discriminant Analysis and Cascade-Forward Back-Propagation Network
Published in Arabian Journal for Science and Engineering (01-07-2014)“…Inspired from the great potential of the discriminant analysis (DA) as a feature selection tool for pattern recognition, this paper proposes an intelligent…”
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16
Modeling of Landslide Susceptibility Mapping Using State-Of-Art Machine Learning Models
Published in 2022 International Conference on Engineering and Emerging Technologies (ICEET) (27-10-2022)“…This paper presents the modeling of landslide susceptibility mapping of Penang Island, Malaysia using the state-of-art machine learning models. Machine…”
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Conference Proceeding -
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Landslide hazard mapping of Penang island using probabilistic methods and logistic regression
Published in 2011 IEEE International Conference on Imaging Systems and Techniques (01-05-2011)“…This paper summarizes landslide hazard mapping of Penang Island, Malaysia using probabilistic methods and logistic regression. Probabilistic methods such as…”
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Conference Proceeding -
18
Allometric power-law relationships in a Hortonian fractal digital elevation model
Published in Geophysical research letters (2004)Get full text
Journal Article -
19
Landslide Susceptibility Hazard Mapping Techniques Review
Published in Journal of applied sciences (Asian Network for Scientific Information) (2012)“…Landslides continue to be one of the worst nature disasters around the world. Worldwide, landslide causes billion of dollars in damage and claim as many as…”
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20
Analysis of geophysical networks derived from multiscale digital elevation models: a morphological approach
Published in IEEE geoscience and remote sensing letters (01-10-2005)“…We provide a simple and elegant framework based on morphological transformations to generate multiscale digital elevation models (DEMs) and to extract…”
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