Binh Thai Pham, Chongchong Qi, Lanh Si Ho, T. Nguyen‐Thoi, Nadhir Al‐Ansari, Manh Duc Nguyen, Huu Duy Nguyen, Haï-Bang Ly, Hiep Van Le, Indra Prakash,
... soil samples from national highway project Hai Phong-Thai Binh of Vietnam were used to generate datasets for ...
Tópico(s): Soil and Unsaturated Flow
2020 - Multidisciplinary Digital Publishing Institute | Sustainability
Van-Hao Duong, Haï-Bang Ly, Dinh Huan Trinh, Thai‐Son Nguyen, Binh Thai Pham,
Understanding the radon dispersion released from this mine are important targets as radon dispersion is used to assess radiological hazard to human. In this paper, the main objective is to develop and optimize a machine learning model namely Artificial Neural Network (ANN) for quick and accurate prediction of radon dispersion released from Sinquyen mine, Vietnam. For this purpose, a total of million data collected from the study area, which includes input variables (the gamma data of uranium concentration ...
Tópico(s): Earthquake Detection and Analysis
2021 - Elsevier BV | Environmental Pollution
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, Phan Trọng Trịnh, Binh Thai Pham,
Tópico(s): Hydrology and Watershed Management Studies
2023 - Springer Science+Business Media | Earth Science Informatics
Le-Minh Nguyen, Pham The Truyen, Tran Van Phong, Abolfazl Jaafari, Mahdis Amiri, Van Duong Nguyen, Nguyễn Văn Biển, Dao Minh Duc, Indra Prakash, Binh Thai Pham,
Tópico(s): Fire effects on ecosystems
2023 - Springer Science+Business Media | Environmental Science and Pollution Research
Klemens Hoegenauer, Shaojian An, Jake Axford, Christina Benander, Christian Bergsdorf, J. Josephine Botsch, Suzanne Chau, César Fernández Fernández, Scott Gleim, Ulrich Hassiepen, Juerg Hunziker, Emilie Joly, Aramis Keller, Sandra Lopez Romero, Robert J. Maher, Anne-Sophie Mangold, Craig Mickanin, M. MIHALIC, Philippe Neuner, Andrew W. Patterson, Francesca Perruccio, Silvio Roggo, Julien Scesa, Martin Schröder, Dojna Shkoza, Binh Thai, Anna Vulpetti, Martin Renatus, John Reece-Hoyes,
Redirecting E3 ligases to neo-substrates, leading to their proteasomal disassembly, known as targeted protein degradation (TPD), has emerged as a promising alternative to traditional, occupancy-driven pharmacology. Although the field has expanded tremendously over the past years, the choice of E3 ligases remains limited, with an almost exclusive focus on CRBN and VHL. Here, we report the discovery of novel ligands to the PRY-SPRY domain of TRIM58, a RING ligase that is specifically expressed in erythroid ...
Tópico(s): Peptidase Inhibition and Analysis
2023 - American Chemical Society | ACS Medicinal Chemistry Letters
Romulus Costache, Alireza Arabameri, Iulia Costache, Anca Crăciun, Binh Thai Pham,
Floods are among the most severe natural hazard phenomena that affect people around the world. Due to this fact, the identification of zones highly susceptible to floods became a very important activity in the researcher's work. In this context, the present research work aimed to propose the following 3 novel ensembles to estimate the flood susceptibility in Putna river basin from Romania: UltraBoost-Weights of Evidence (U-WOE), Stochastic Gradient Descending-Weights of Evidence (SGD-WOE) and Cost ...
Tópico(s): Hydrology and Drought Analysis
2022 - Springer Science+Business Media | Water Resources Management
Romulus Costache, Tran Trung Tin, Alireza Arabameri, Anca Crăciun, R. S. Ajin, Iulia Costache, Abu Reza Md. Towfiqul Islam, Sani I. Abba, Mehebub Sahana, Mohammadtaghi Avand, Binh Thai Pham,
The present study was done in order to simulate the flash-flood susceptibility across the Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria decision-making analysis. It should be noted that flash-flood events are triggered by heavy rainfall in small river catchments. To achieve the proposed results, a total of 8 flash-flood predictors (slope angle, plan curvature, hydrological soil groups, land use, convergence index, profile curvature, topographic position ...
Tópico(s): Hydrological Forecasting Using AI
2022 - Elsevier BV | Journal of Hydrology
Haï-Bang Ly, Thuy‐Anh Nguyen, Binh Thai Pham,
This study aims to investigate the influence of all the mixture components of high-performance concrete (HPC) on its early compressive strength, ranging from 1 to 14 days. To this purpose, a Gaussian Process Regression (GPR) algorithm was first constructed using a database gathered from the available literature. The database included the contents of cement, blast furnace slag (BFS), fly ash (FA), water, superplasticizer, coarse, fine aggregates, and testing age as input variables to predict the output ...
Tópico(s): Concrete and Cement Materials Research
2022 - Public Library of Science | PLoS ONE
Hang Ha, Quynh Duy Bui, Huy Nguyen, Binh Thai Pham, Trinh Dinh Lai, Chinh Luu,
Tópico(s): Groundwater and Watershed Analysis
2022 - Springer Science+Business Media | Environment Development and Sustainability
Minh‐Ky Nguyen, Mohammed Hadi, Chitsan Lin, Hoang‐Lam Nguyen, Vu-Binh Thai, Hong-Giang Hoang, Dai‐Viet N. Vo, Huu-Tuan Tran,
Microplastic pollution is becoming a global challenge due to its long-term accumulation in the environment, causing adverse effects on human health and the ecosystem. Sludge discharged from wastewater treatment plants (WWTPs) plays a critical role as a carrier and primary source of environmental microplastic contamination. A significantly average microplastic variation between 1000 and 301,400 particles kg-1 has been reported in the sludge samples. In recent years, advanced technologies have been ...
Tópico(s): Graphene and Nanomaterials Applications
2022 - Elsevier BV | Chemosphere
Manh Duc Nguyen, Romulus Costache, An Ho Sy, Hassan Ahmadzadeh, Hiep Van Le, Indra Prakash, Binh Thai Pham,
Tópico(s): Mineral Processing and Grinding
2022 - Springer Science+Business Media | Bulletin of Engineering Geology and the Environment
Dong Van Dao, Quynh-Anh Thi Bui, Dam Duc Nguyen, Indra Prakash, Son Hoang Trinh, Binh Thai Pham,
The pavement damages such as slipping, rutting, top-down cracking of flexible pavement are very common during the operation process. These damages are mainly caused by interlayer shear stress acting between the asphalt layers during traffic movement. This is one of the main reasons for reduced pavement service life and increased maintenance costs. Therefore, the Interlayer Shear Strength (ISS) parameter needs to be evaluated and accurately predicted. Generally, ISS of double–layer asphalt concrete ...
Tópico(s): Water Systems and Optimization
2022 - Elsevier BV | Construction and Building Materials
Duc Dam Nguyen, Mahdis Amiri, Nadhir Al‐Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham,
Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are different methods for predicting landslide susceptibility, the bivariate statistical analysis method is considered to be simple and popular. In this study, the main aim is to evaluate the performance of Shannon entropy (SE) and weights of evidence (WOE) statistical models in landslide susceptibility mapping of Pithoragarh district of Uttarakhand ...
Tópico(s): Flood Risk Assessment and Management
2022 - Hindawi Publishing Corporation | Advances in Civil Engineering
Sushant K. Singh, Robert W. Taylor, Biswajeet Pradhan, Ataollah Shirzadi, Binh Thai Pham,
This study evaluates state-of-the-art machine learning models in predicting the most sustainable arsenic mitigation preference. A Gaussian distribution-based Naïve Bayes (NB) classifier scored the highest Area Under the Curve (AUC) of the Receiver Operating Characteristic curve (0.82), followed by Nu Support Vector Classification (0.80), and K-Neighbors (0.79). Ensemble classifiers scored higher than 70% AUC, with Random Forest being the top performer (0.77), and Decision Tree model ranked fourth with ...
Tópico(s): Heavy metals in environment
2022 - Elsevier BV | Ecotoxicology and Environmental Safety
Duc Dam Nguyen, Panayiotis C. Roussis, Binh Thai Pham, Maria Ferentinou, Anna Mamou, Dung Quang Vu, Quynh-Anh Thi Bui, Duong Kien Trong, Panagiotis G. Asteris,
Seasonal variations of the moisture content of fine-grained soils may result in the accumulation of significant volumetric strains, which may affect the stability of geotechnical infrastructure. Predicting the swelling potential of soil may therefore be crucial to geotechnical infrastructure integrity. This research presents a series of machine learning models namely Gaussian Process (GP), Multilayer Perceptron (MLP), and Bagging-MLP neural network models that developed for the prediction of the soil' ...
Tópico(s): Geotechnical Engineering and Analysis
2022 - Elsevier BV | Transportation Geotechnics
Hang Ha, Quynh Duy Bui, Thanh Dong Khuc, D. T. Tran, Binh Thai Pham, Sy Hung, Lam Phuong Nguyen, Chinh Luu,
Tópico(s): Soil erosion and sediment transport
2022 - Springer Science+Business Media | Modeling Earth Systems and Environment
Quynh Duy Bui, Chinh Luu, Sy Hung, Hang Thi Ha, Huong Thu Ta, Binh Thai Pham,
Abstract In this study, a new approach of machine learning (ML) models integrated with the analytic hierarchy process (AHP) method was proposed to develop a holistic flood risk assessment map. Flood susceptibility maps were created using ML techniques. AHP was utilized to combine flood vulnerability and exposure criteria. We selected Quang Binh province of Vietnam as a case study and collected available data, including 696 flooding locations of historical flooding events in 2007, 2010, 2016, and 2020; ...
Tópico(s): Hydrology and Watershed Management Studies
2022 - Wiley | Risk Analysis
Binh Thai Pham, Tran Van Phong, T. Nguyen‐Thoi, Phan Trọng Trịnh, Quoc Cuong Tran, Lanh Si Ho, Sushant K. Singh, Tran Thi Thanh Duyen, Nguyễn Thị Tố Loan, Huy Lê, Hiep Van Le, Nguyen Thi Bích Hanh, Nguyen Kim Quoc, Indra Prakash,
Landslide susceptibility mapping has become one of the most important tools for the management of landslide hazards. In this study, we proposed a novel approach to improve the performance of Credal Decision Tree (CDT) by using four ensemble frameworks: Bagging, Dagging, Decorate, and Rotation Forest (RF) for landslide susceptibility mapping. A total number of 180 past and present landslides data of the Muong Lay district (Viet Nam) was analyzed and used for generating training and validation of the ...
Tópico(s): Cryospheric studies and observations
2020 - Elsevier BV | Advances in Space Research
Produção Nacional
Revisado por pares
Jie Dou, Ali P. Yunus, Abdelaziz Merghadi, Ataollah Shirzadi, Hoang Nguyen, Yawar Hussain, Ram Avtar, Yu-Long Chen, Binh Thai Pham, Hiromitsu Yamagishi,
Predictive capability of landslide susceptibilities is assumed to be varied with different sampling techniques, such as (a) the landslide scarp centroid, (b) centroid of landslide body, (c) samples of the scrap region representing the scarp polygon, and (d) samples of the landslide body representing the entire landslide body. However, new advancements in statistical and machine learning algorithms continuously being updated the landslide susceptibility paradigm. This paper explores the predictive performance ...
Tópico(s): Flood Risk Assessment and Management
2020 - Elsevier BV | The Science of The Total Environment
Deliang Sun, Mahshid Lonbani, Behnam Askarian, Danial Jahed Armaghani, Reza Tarinejad, Binh Thai Pham, Van Van Huynh,
Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field. The present study developed five well-known machine learning techniques and compared their performance to predict the brittleness index of the rock samples. The comparison of the models’ performance was conducted through a ranking system. These techniques included Chi-square automatic interaction ...
Tópico(s): Drilling and Well Engineering
2020 - Multidisciplinary Digital Publishing Institute | Applied Sciences
Dieu Tien Bui, Ataollah Shirzadi, Ata Amini, Himan Shahabi, Nadhir Al‐Ansari, Shahriar Hamidi, Sushant K. Singh, Binh Thai Pham, Baharin Bin Ahmad, Pezhman Taherei Ghazvinei,
Local scour depth at complex piers (LSCP) cause expensive costs when constructing bridges. In this study, a hybrid artificial intelligence approach of random subspace (RS) meta classifier, based on the reduced error pruning tree (REPTree) base classifier, namely RS-REPTree, was proposed to predict the LSCP. A total of 122 laboratory datasets were used and portioned into training (70%: 85 cases) and validation (30%: 37 cases) datasets for modeling and validation processes, respectively. The statistical ...
Tópico(s): Dam Engineering and Safety
2020 - Multidisciplinary Digital Publishing Institute | Sustainability
Thanh-Hai Le, Hoang-Long Nguyen, Binh Thai Pham, May Huu Nguyen, Cao-Thang Pham, Ngoc-Lan Nguyen, Tien-Thinh Le, Haï-Bang Ly,
Stone Mastic Asphalt (SMA) is a tough, stable, rut-resistant mixture that takes advantage of the stone-to-stone contact to provide strength and durability for the material. Besides, the warm mix asphalt (WMA) technology allows reducing emissions and energy consumption by reducing the production temperature by 30–50 °C, compared to conventional hot mix asphalt technology (HMA). The dynamic modulus |E*| has been acknowledged as a vital material property in the mechanistic-empirical design and analysis ...
Tópico(s): Smart Materials for Construction
2020 - Multidisciplinary Digital Publishing Institute | Applied Sciences
Esmaeel Dodangeh, Vijay P. Singh, Binh Thai Pham, Jiabo Yin, Guang Yang, Amirhosein Mosavi,
Tópico(s): Flood Risk Assessment and Management
2020 - Springer Science+Business Media | Water Resources Management
Ataollah Shirzadi, Shahrokh Asadi, Himan Shahabi, Somayeh Ronoud, John J. Clague, Khabat Khosravi, Binh Thai Pham, Baharin Bin Ahmad, Dieu Tien Bui,
Reliable flash flood susceptibility maps are a vital tool for land planners and emergency management officials for early flood warning and mitigation. We have developed a new ensemble learning model that predicts flash flood susceptibility at Haraz, Iran. The new model couples a Bayesian Belief Network (BBN) model with an extreme learning machine (ELM) and backpropagation (BP) structure optimized by a genetic algorithm (GA) named GA-BN-NN model. We applied the support vector machine (SVM) technique to ...
Tópico(s): Tropical and Extratropical Cyclones Research
2020 - Elsevier BV | Engineering Applications of Artificial Intelligence
Dieu Tien Bui, Dawood Talebpour Asl, E Ghanavati, Nadhir Al‐Ansari, Saeed Khezri, Kamran Chapi, Ata Amini, Binh Thai Pham,
In recent years, the intensification of drought and unsustainable management and use of water resources have caused a significant decline in the water level of the Urmia Lake in the northwest of Iran. This condition has affected the lake, approaching an irreversible point such that many projects have been implemented and are being implemented to save the natural condition of the Urmia Lake, among which the inter-basin water transfer (IBWT) project from the Zab River to the lake could be considered ...
Tópico(s): Hydrology and Watershed Management Studies
2020 - Multidisciplinary Digital Publishing Institute | Sustainability
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, Abolfazl Jaafari, Huu Duy Nguyen, Nadhir Al‐Ansari, Tran Van Phong, Rohit Sharma, Raghvendra Kumar, Hiep Van Le, Lanh Si Ho, Indra Prakash, Binh Thai Pham,
Groundwater potential maps are one of the most important tools for the management of groundwater storage resources. In this study, we proposed four ensemble soft computing models based on logistic regression (LR) combined with the dagging (DLR), bagging (BLR), random subspace (RSSLR), and cascade generalization (CGLR) ensemble techniques for groundwater potential mapping in Dak Lak Province, Vietnam. A suite of well yield data and twelve geo-environmental factors (aspect, elevation, slope, curvature, ...
Tópico(s): Hydrological Forecasting Using AI
2020 - Multidisciplinary Digital Publishing Institute | Applied Sciences
Binh Thai Pham, Lei Lü, Tien-Thinh Le, Kien-Trinh Thi Bui, Vuong Minh Le, Haï-Bang Ly, Indra Prakash,
In this study, the main objective is to develop and compare several advanced Artificial Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized with Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks (ANN) and Support Vector Machines (SVM) for the prediction of daily rainfall in Hoa Binh province, Vietnam. For this, meteorological variable parameters such as maximum temperature, minimum temperature, wind speed, relative humidity and solar radiation were ...
Tópico(s): Stock Market Forecasting Methods
2020 - Elsevier BV | Atmospheric Research
Rabin Chakrabortty, Subodh Chandra Pal, Mehebub Sahana, Ayan Mondal, Jie Dou, Binh Thai Pham, Ali P. Yunus,
Tópico(s): Groundwater and Watershed Analysis
2020 - Springer Science+Business Media | Natural Hazards
Khabat Khosravi, James R. Cooper, Prasad Daggupati, Binh Thai Pham, Dieu Tien Bui,
The accurate prediction of bedload transport in gravel-bed rivers remains a significant challenge in river science. However the potential for data mining algorithms to provide models of bedload transport have yet to be explored. This study provides the first quantification of the predictive power of a range of standalone and hybrid data mining models. Using bedload transport data collected in laboratory flume experiments, the performance of four types of recently developed standalone data mining ...
Tópico(s): Time Series Analysis and Forecasting
2020 - Elsevier BV | Journal of Hydrology
Jian Zhou, Chuanqi Li, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Binh Thai Pham,
Peak particle velocity (PPV) is one of the most-used parameters for assessment of ground vibration resulting from blasting and associated damage to nearby areas. To prevent and control the damages might be caused by PPV, its amount should be predicted and controlled before conducting blasting operation. This paper analyzes results of this environmental issue of blasting using a combination of predictive and probabilistic models (prediction and simulation phases). To get the right patterns, a new intelligent ...
Tópico(s): Tunneling and Rock Mechanics
2020 - Taylor & Francis | International Journal of Mining Reclamation and Environment