Blar i USN Open Archive på forfatter "Tien Bui, Dieu"
-
Novel ensembles of deep learning neural network and statistical learning for flash-flood susceptibility mapping
Costache, Romulus; Ngo, Phuong Thao Thi; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)This study aimed to assess flash-flood susceptibility using a new hybridization approach of Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and Frequency Ratio (FR). A catchment area in south-eastern Romania ... -
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
Dang, Viet-Hung; Hoang, Nhat-Duc; Nguyen, Le-Mai-Duyen; Tien Bui, Dieu; Samui, Pijush (Peer reviewed; Journal article, 2020)This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning ... -
Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Flood at Tropical Area Using Sentinel-1 SAR Imagery and Geospatial data
Phuong-Thao Thi, Ngo; Hoang, Nhat-Duc; Biswajeet, Pradhan; Quang Khanh, Nguyen; Xuan Truong, Tran; Quang Minh, Nguyen; Viet Nghia, Nguyen; Pijush, Samui; Tien Bui, Dieu (Journal article; Peer reviewed, 2018)Flash floods are widely recognized as one of the most devastating natural hazards in the world, therefore prediction of flash flood-prone areas is crucial for public safety and emergency management. This research proposes ... -
Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Foong, Loke Kok; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of ... -
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
Melgar-García, Laura; Martínez-Álvarez, Francisco; Tien Bui, Dieu; Troncoso, Alicia (Peer reviewed; Journal article, 2023)Floods remain one of the most devastating weather-induced disasters worldwide, resulting in numerous fatalities each year and severely impacting socio-economic development and the environment. Therefore, the ability to ... -
Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework
Nguyen Van, Lam; Tornyeviadzi, Hoese Michel; Tien Bui, Dieu; Seidu, Razak (Peer reviewed; Journal article, 2022)Predicting discharges in sewage systems play an essential role in reducing sewer overflows and impacts on the environment and public health. Choosing a suitable model to predict discharges in these systems is essential to ... -
Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Lyu, Zongjie; Foong, Loke Kok (Peer reviewed; Journal article, 2019)The heating load calculation is the first step of the iterative heating, ventilation, and air conditioning (HVAC) design procedure. In this study, we employed six machine learning techniques, namely multi-layer perceptron ... -
Predicting Slope Stability Failure through Machine Learning Paradigms
Tien Bui, Dieu; Moayedi, Hossein; Gör, Mesut; Jaafari, Abolfazl; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression ... -
Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques
Tien Bui, Dieu; Moayedi, Hossein; Abdullahi, Mu’azu Mohammed; Rashid, Ahmad Safuan A; Nguyen, Hoang (Journal article; Peer reviewed, 2019)The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis functions neural networks (RBNN), general regression neural network ... -
Remote sensing approaches for monitoring mangrove species, structure and biomass: opportunities and challenges
Pham, Tien Dat; Yokoya, Naoto; Tien Bui, Dieu; Yoshino, Kunihiko; Friess, Daniel A. (Journal article; Peer reviewed, 2019)The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, mangroves have been lost worldwide, resulting in substantial ... -
Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron
Moayedi, Hossein; Tien Bui, Dieu; Ngo, Phuong Thao Thi (Peer reviewed; Journal article, 2020)The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the ... -
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic
Moayedi, Hossein; Tien Bui, Dieu; Foong, Loke Kok (Journal article; Peer reviewed, 2019)By the assist of remotely sensed data, this study examines the viability of slope stability monitoring using two novel conventional models. The proposed models are considered to be the combination of neuro-fuzzy (NF) system ... -
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
Pham Viet, Hoa; Nguyen Vu, Giang; Nguyen An, Binh; Le Vu Hong, Hai; Tien-Dat, Pham; Mahdi, Hasanlou; Tien Bui, Dieu (Journal article; Peer reviewed, 2019)Soil salinity caused by climate change associated with rising sea level is considered as one of the most severe natural hazards that has a negative effect on agricultural activities in the coastal areas in most tropical ... -
Spatial assessment of landslide risk using two novel integrations of neuro-fuzzy system and metaheuristic approaches; Ardabil Province, Iran
Moayedi, Hossein; Khari, Mahdy; Bahiraei, Mehdi; Foong, Loke Kok; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)This article addresses the spatial analysis of landslide susceptibility in the Ardabil province of Iran. To this end, two well-known optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization ... -
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles
Moayedi, Hossein; Osouli, Abdolreza; Tien Bui, Dieu; Foong, Loke Kok (Peer reviewed; Journal article, 2019)Regular optimization techniques have been widely used in landslide-related problems. This paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf optimization (GWO) and biogeography-based ... -
Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions
Rahmati, Omid; Ghorbanzadeh, Omid; Teimurian, Teimur; Mohammadi, Farnoush; Tiefenbacher, John P.; Falah, Fatemeh; Pirasteh, Saied; Ngo, Phuong-Thao Thi; Tien Bui, Dieu (Peer reviewed; Journal article, 2019)Although snow avalanches are among the most destructive natural disasters, and result in losses of life and economic damages in mountainous regions, far too little attention has been paid to the prediction of the snow ... -
Spatial Prediction of Fluvial Flood in High-Frequency Tropical Cyclone Area Using TensorFlow 1D-Convolution Neural Networks and Geospatial Data
Trong, Nguyen Gia; Quang, Pham Ngoc; Cuong, Nguyen Van; Le, Hong Anh; Nguyen, Hoang Long; Tien Bui, Dieu (Peer reviewed; Journal article, 2023)Fluvial floods endure as one of the most catastrophic weather-induced disasters worldwide, leading to numerous fatalities each year and significantly impacting socio-economic development and the environment. Hence, the ... -
Spatial Prediction of Groundwater Spring Potential Mapping Based on Adaptive Neuro-Fuzzy Inference System and Metaheuristic Optimization
Khosravi, Khabat; Panahi, Mahdi; Tien Bui, Dieu (Journal article; Peer reviewed, 2018)Groundwater is one of the most valuable natural resources in the world (Jha et al., 2007). However, it is not an unlimited resource; therefore understanding groundwater potential is crucial to ensure its sustainable use. ... -
Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil
Moayedi, Hossein; Tien Bui, Dieu; Anastasios, Dounis; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)Two novel hybrid predictors are suggested as the combination of artificial neural network (ANN), coupled with spotted hyena optimizer (SHO) and ant lion optimization (ALO) metaheuristic techniques, to simulate soil shear ... -
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
Moayedi, Hossein; Tien Bui, Dieu; Gör, Mesut; Pradhan, Biswajeet; Jaafari, Abolfazl (Journal article; Peer reviewed, 2019)In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is investigated for slope stability calculation. The results are also compared to another artificial intelligence technique of a ...