Tran Thi Tuyen

ORCID: 0000-0002-7960-5234
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Fire effects on ecosystems
  • Landslides and related hazards
  • EFL/ESL Teaching and Learning
  • Second Language Learning and Teaching
  • Virtual Reality Applications and Impacts
  • Vietnamese History and Culture Studies
  • Diverse Aspects of Tourism Research
  • Digital Marketing and Social Media
  • Groundwater and Watershed Analysis
  • Geological formations and processes
  • Oil Palm Production and Sustainability
  • COVID-19 Pandemic Impacts
  • Dam Engineering and Safety
  • Municipal Solid Waste Management
  • Educational Reforms and Innovations
  • Research studies in Vietnam
  • Crustacean biology and ecology
  • Remote Sensing and Land Use
  • Mosquito-borne diseases and control
  • Fire Detection and Safety Systems
  • Technology Adoption and User Behaviour
  • Grouting, Rheology, and Soil Mechanics
  • Student Assessment and Feedback
  • Soil and Unsaturated Flow

Ho Chi Minh City University of Social Sciences and Humanities
2022-2025

Vietnam National University Ho Chi Minh City
2024

Vinh University
2019-2023

Saigon University
2023

Northeast Forestry University
2021-2022

University of Da Nang
2022

Văn Hiến University
2021

Predicting and mapping fire susceptibility is a top research priority in fire-prone forests worldwide. This study evaluates the abilities of Bayes Network (BN), Naïve (NB), Decision Tree (DT), Multivariate Logistic Regression (MLP) machine learning methods for prediction across Pu Mat National Park, Nghe An Province, Vietnam. The modeling methodology was formulated based on processing information from 57 historical fires set nine spatially explicit explanatory variables, namely elevation,...

10.3390/sym12061022 article EN Symmetry 2020-06-17

Risk of flash floods is currently an important problem in many parts Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), Multinomial Naïve Bayes (NBM), and Model Tree (LMT) to generate flood susceptibility maps at the minor part Nghe An province Center region (Vietnam) where recurrent problems are being experienced. Performance these methods was evaluated select best method for mapping. model...

10.3390/w12010239 article EN Water 2020-01-15

Improving the accuracy of flood prediction and mapping is crucial for reducing damage resulting from events. In this study, we proposed validated three ensemble models based on Best First Decision Tree (BFT) Bagging (Bagging-BFT), Decorate Random Subspace (RSS-BFT) learning techniques an improved susceptibility in a spatially-explicit manner. A total number 126 historical events Nghe An Province (Vietnam) were connected to set 10 influencing factors (slope, elevation, aspect, curvature,...

10.1016/j.gsf.2020.11.003 article EN cc-by-nc-nd Geoscience Frontiers 2020-12-13

We proposed an innovative hybrid intelligent approach, namely, the multiboost based naïve bayes trees (MBNBT) method for spatial prediction of landslides in Mu Cang Chai District Yen Bai Province, Vietnam. The MBNBT, which is ensemble (MB) and (NBT) base classifier, has rarely been applied landslide susceptibility mapping around world. For modeling, we selected 248 locations hilly terrain study area. Fifteen conditioning factors were construction database on one-R attribute evaluation (ORAE)...

10.3390/app9142824 article EN cc-by Applied Sciences 2019-07-15

Virtual Tourism is Rapidly Expanding worldwide and serves as a practical support for traditional tourism by enhancing tourist experiences. In major cities, virtual widely utilized to advance smart promote night activities. Vietnam, Ho Chi Minh City has taken initial steps in this domain, incorporating applications cater both domestic international tourists. However, its development remains limited when compared other relevant urban destinations. This paper utilizes the...

10.55529//jsrth.51.1.11 article EN cc-by Journal of Social Responsibility Tourism and Hospitality 2025-03-27

Background: Consolidation coefficient (Cv) is a key parameter to forecast consolidation settlement of soft soil foundation as well in treatment design foundation, especially when drainage used soil. Objective: In this study, the main objective predict accurately using an artificial intelligence approach named Random Forest (RF) method. addition, we have analyzed sensitivity different combinations factors for prediction Cv. Method: A total 163 samples were collected from construction site...

10.2174/1874836801913010178 article EN The Open Construction and Building Technology Journal 2019-08-30

Abstract Recently, the spread of white spot disease in shrimps has a major impact on aquaculture activity worldwide affecting economy countries, especially South-East Asian countries like Vietnam. This deadly is caused by White Spot Syndrome Virus (WSSV). Researchers are trying to understand and control this doing field laboratory studies considering effect environmental conditions affected WSSV. Generally, they have not considered spatial factors their study. Therefore, present study, we...

10.1007/s13201-023-02049-3 article EN cc-by Applied Water Science 2023-12-09

Coarse wood debris (CWD) plays a critical role in forest productivity, nutrient cycling, decomposition, and carbon sequestration, shapes the pool ecosystem. However, elemental composition of CWD varies among different types decay classes for same dominant tree species (Pinus koraiensis, PK). We compared across (Picea koraiensis-Abies nephrolepis-Pinus koraiensis (PAPF), Betula costata-Pinus (BPF), Tilia amurensis-Pinus (TPF)), considering four decay. Results showed that N, P, Mg, Mn, Na, Zn,...

10.3390/f12040401 article EN Forests 2021-03-29

Abstract This study applied remote sensing methods combining GIS and machine learning (ML) in landslide assessment zonation for the western mountainous area of Nghe An province, Vietnam. Factors affecting susceptibility are analyzed included model including terrain elevation, slope, aspect, flow accumulation, geomorphology, profile curvature, Topographic Position Index (TPI), fault density, road rainfall land use. A field survey was conducted on July, 2023 to collect ground truth data areas...

10.1088/1755-1315/1345/1/012008 article EN IOP Conference Series Earth and Environmental Science 2024-05-01

The topic "Teaching and learning English for tourism after the Covid-19 pandemic in universities solution proposals" to a growing need sustainable development of as well human resources training pandemic.In this topic, we use teaching methods such survey listing, analysis, description, synthesis examine effects on occupational training.Since then, author offers proposals about at order improve students' outcomes where concepts can be gradually built quality language major.In addition, also...

10.2991/assehr.k.210226.017 article EN cc-by-nc Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research 2021-01-01

With the opening and integration of our country, we have attracted many investors from various fields all around world such as economy, society so on, leading to development changes in life, language culture Vietnamese communication. So "some issues research intercultural communication curriculum at Sai Gon University period” is a topic that has important value this worthy be paid attention for carrying out research. However, due limitation article, only discuss develop an training Master's...

10.5430/wjel.v13n2p288 article EN World Journal of English Language 2023-02-15

To explore the positive changes in teaching activities for General or non-specialist English and proposals evaluation criteria at Sai Gon University, a methodological approach involving listing, describing, synthesizing was employed. This aimed to identify context of modern technology that enhance capabilities both lecturers students University.The purpose article is clarify effects changing results learning University lecturers’ capacity students’ language ability modifications tasks...

10.5430/wjel.v13n8p84 article EN World Journal of English Language 2023-09-04

The purpose of this paper is to develop Vietnamese writing skills for first grade students. To achieve objective, the author conducted a study on their abilities using various research methods, specifically, survey research, statistical analysis, classification techniques, etc. Therefore, would like provide practical suggestions improving skills. These likely focus teaching and learning methods that are suitable students' current level ability. article's content valuable contribution...

10.59400/fls.v5i2.1790 article EN cc-by Forum for Linguistic Studies 2023-09-07

Soil erosion is a naturally occurring process in mountainous areas that affects all landforms.Located Central of Vietnam, the tropical monsoon climate Da Nang City characterized by more than 70 percentage area with hilly and topography.This study objective apply Universal Loss Equation (ULSE) model developed Wischmeier Smith (1978) integrating remote sensing data Geographical Information System (GIS) tool to evaluate soil risk City, Vietnam.Rainfall erosivity (R), slope length-steepness...

10.36335/vnjhm.2022(eme4).12-22 article EN Journal of Hydro-meteorology 2022-03-25

Topic "Developing Vietnamese listening -speaking skills for first-grade Chinese pupils in District 5, Ho Chi Minh City during Covid 19 pandemic period" is a necessary topic that researched to improve competency Vietnam nowadays.In this article, we use the method of surveying, listing results listeningspeaking who are living City.We enumerate, describe, analyze and synthesize results, cultural conditions characteristics expressed these pupils' ability -speaking.Since then, have given some...

10.2991/assehr.k.211224.005 article EN cc-by-nc Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research 2021-01-01
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