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Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam nguyen nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Cellular models of stress resistance may pave ways to fight neurodegenerative diseases

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Neural Regeneration Research 2025年第9期20卷 2579-2580页

作者： Thu nguyen Minh Pham Christian Behl Institute of Pathobiochemistry University Medical Center of the Johannes Gutenberg UniversityMainzGermany

Alzheimer's disease(AD),the most common form of neurodegeneration,is characterized by selective neuronal vulnerability and brain regionselective neuron *** entorhinal cortex and hippoc,ampal CA1 projection neurons are at greater risk in AD whereas other regions display resistance to ***,the cerebellum,a phylogenetically very old region,is affected only very late in the disease progression.

关键词： cortex resistance Alzheimer

A new formula for screening metabolic syndrome in Asians:skin fold thickness at A8 point on Erdheim diagram and waist circumference

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Journal of Geriatric Cardiology 2007年第1期4卷 32-41页

作者： Toan C nguyen thai Q Ngo Khoa TA Pham son V nguyen Hieu T Luong Cong D nguyen Vietnam Military Medical University Ha Dong Town Ha Tay Province Vietnam Department of Cardiology Hospital 103 Vietnam

Background and objectives Recent studies have shown that abdominal obesity is an important component for the diagnosis of metabolic syndrome (MS) and MS is a high risk factor for cardiovascular disease and diabetes mellitus. The aim of this study was to develop a new formula for screening and diagnosis of MS using the waist circumference (WC) and skin fold thickness at the point A8 (SFA8) on the Erdheim diagram. Methods A total of 358 essential hypertensive patients (189 male and 169 female) with a mean age of 59.0±9.7 years were included; 151 healthy people (79 male, 72 female) with a mean age of 57.3±12.1 years (similar to hypertensive patients) who were non-hypertensive and non-diabetic served as a control group. All subjects had no evidence of hepatic, renal, or endocrine disease as determined by history, physical examination and screening blood tests. Height, weight, WC, SFA8, blood pressure (BP), fasting plasma glucose, HDL-cholesterol and triglyceride levels were measured in all subjects. Abdominal obesity measured by WC using the Asia-Pacific criteria (IDFA) was applied for meeting the MS definition. The normal value of SFA8 was measured in the non- MS group. Relationships between SFA8 and systolic BP, diastolic BP, fasting plasma glucose, HDL-cholesterol and triglyceride levels were calculated in the control group. A new formula was developed according to high SFA8 and high WC. Results The normal value of SFA8 in non-MS group was 23.6±7.2 mm in male and 26.5±4.6 mm in female, respectively. The value of SFA8 in MS group was 36.7± 7.4 mm in male and 38.9 ± 8.1 mm in female, respectively. The value of WC in MS group and non-MS group were 92.5±3.0 cm and 79.4±6. 1 cm in male and 86.3±6.4 cm and 74.7±5.4 cm in female, respectively. There was a correlation between SFA8 and systolic BP, diastolic BP, fasting plasma glucose, HDL-cholesterol and triglyceride in control group (the correlation coefficients were 0.29, 0.23, 0.25, -0.31 and 0.46, respectively, P < 0.01)

关键词： waist circumference skin fold thickness metabolic syndrome

A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh nguyen Binh thai PHAM May Huu nguyen Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

Skin fold thickness at abdomen:a simple anthropometric measurement may compliment metabolic syndrome definition in patients with normal waist circumference

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Journal of Geriatric Cardiology 2006年第2期3卷 85-92页

作者： Toan C nguyen thai Q Ngo son V nguyen Hieu T Luong Khoa TA Pham Cong D nguyen Vietnam Military Medical University Ha ToyVietnam

Backgroud and Objectives Previous studies have reported that skin fold thickness (SF) strongly correlated with insulin resistance in the metabolic syndrome (MetS). In this study, we developed a MetS definition by SF at A8 point (SFA8) on Erdheim diagram(MetSSFA8) in essential hypertensive patients. Subjects and Methods Medical records of 268 essential hypertensive patients (126males and 122 females) were analyzed, including 210 non-diabetic patients (NDM group) and 58 patients with diabetes (DM group).The mean age was 61.4 ± 9.9 and 59.0 ± 11.0 years, respectively. The control group consisted of 90 non-diabetic, non-hypertensive patients with a mean age of 58.0 ± 11.3 years. The proposed MetSSFA8 definition included SFA8 specific values ( ≥30 mm in female and ≥27 mm in male) and at least two of the following: raised triglyceride levels ( ≥1.7 mmol/L), or specific treatment for this lipid abnormality; raised blood pressure (SBP≥130 mmHg and/or DBP≥85 mmHg), or treatment of previously diagnosed hypertension;reduced HDL-cholesterol (＜ 1.03 mmol/L in men, ＜1.29 mmol/L in women), or specific treatment for this lipid abnormality; raised fasting plasma glucose (≥5.6 mmol/l), or previously diagnosed DM. Metabolic Syndrome by the National Cholesterol Education Program and International Diabetes Federation definitions were determined with abdominal obesity defined by Asia-Pacific criteria for waist circumference (NCEPA and IDFA). Results The percentage of MetS as defined by NCEPA, IDFA and MetSSFA8 in NDM group was lower than that of NCEPA, IDFA and MetSSFA8 in DM group [OR=7.7 (95%CI, 2.9-20.2) and 2.5 (95%CI, 1.4-4.8) and 2.7(95%CI, 1.3-5.6), respectively] and higher than that of the control group [OR=53.3 (95%CI, 16.7-170.6), 5.8 (95%CI, 2.6-13.2) and18.8 (95%CI, 7.3-48.7), respectively]. The percentage of MetS by NCEPA, IDFA and MetSSFA8 in males in NDM group was lower than the percentage of MetS by NCEPA, IDFA and MetSSFA8 in females in NDM group (50.8% and 77.9%, P＜ 0.0

关键词： skin fold thickness metabolic syndrome hypertension

Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic-ANFIS

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Computers, Materials & Continua 2022年第12期73卷 5961-5983页

作者： Ngoc thai Huynh Tien V.T.nguyen Quoc Manh nguyen Faculty of Automobile Technology Industrial University of Ho Chi Minh CityHo Chi Minh City70000Vietnam Faculty of Mechanical Technology Industrial University of Ho Chi Minh CityHo Chi Minh City70000Vietnam Faculty of Mechanical Engineering Hung Yen University of Technology and EducationHung Yen160000Vietnam

To achieve high work performance for compliant mechanisms of motion scope,continuous work condition,and high frequency,we propose a new hybrid algorithm that could be applied to multi-objective optimum *** this investigation,we use the tools of finite element analysis(FEA)for a magnificationmechanism to find out the effects of design variables on the magnification ratio of the mechanism and then select an optimal mechanism that could meet design requirements.A poly-algorithm including the Grey-Taguchi method,fuzzy logic system,and adaptive neuro-fuzzy inference system(ANFIS)algorithm,was utilized mainly in this *** FEA outcomes indicated that design variables have significantly affected on magnification ratio of the mechanism and verified by analysis of variance and analysis of the signal to noise of grey relational *** results are also predicted by employing the tool of ANFIS in *** conclusion,the optimal findings obtained:Its magnification is larger than 40 times in comparison with the initial design,the maximum principal stress is 127.89MPa,and the first modal shape frequency obtained 397.45 ***,we found that the outcomes obtained deviation error compared with predicted results of displacement,stress,and frequency are 8.76%,3.6%,and 6.92%,respectively.

关键词： Compliant mechanism grey relational analysis taguchi method multi-objective optimization fuzzy logic system adaptive neuro-fuzzy inference system(ANFIS)

A stable CS-FEM for the static and seismic stability of a single square tunnel in the soil where the shear strength increases linearly with depth

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Journal of Rock Mechanics and Geotechnical Engineering 2022年第4期14卷 1253-1265页

作者： H.C.nguyen L.nguyen-son Department of Civil and Environmental Engineering Imperial College LondonLondonUK Department of Civil Engineering and Industrial Design University of LiverpoolLiverpoolUK Faculty of Civil Engineering Ho Chi Minh City University of Technology(HUTECH)Ho Chi Minh CityViet Nam

A numerical procedure using a stable cell-based smoothed finite element method(CS-FEM)is presented for estimation of stability of a square tunnel in the soil where the shear strength increases linearly with *** kinematically admissible displacement fields are approximated by uniform quadrilateral elements in conjunction with the strain smoothing technique,eliminating volumetric locking issues and the singularity associated with the MohreCoulomb ***,a rich set of simulations was performed to compute the static stability of a square tunnel with different geometries and soil *** presented results are in excellent agreement with the upper and lower bound solutions using the standard finite element method(FEM).The stability charts and tables are given for practical use in the tunnel design,along with a newly proposed formulation for predicting the undrained stability of a single square ***,the seismic stability number was computed using the present numerical *** results reveal that the seismic stability number reduces with an increasing value of the horizontal seismic acceleration(a_(h)),for both cases of the weightless soil and the soil with unit ***,the link between the static and seismic stability numbers is described using corrective factors that represent reductions in the tunnel stability due to seismic *** is shown from the numerical results that the corrective factor becomes larger as the unit weight of soil mass increases;however,the degree of the reduction in seismic stability number tends to reduce for the case of the homogeneous ***,this advanced numerical procedure is straightforward to extend to three-dimensional(3D)limit analysis and is readily applicable for the calculation of the stability of tunnels in highly anisotropic and heterogeneous soils which are often encountered in practice.

关键词： Tunnels Stability Limit analysis Cell-based smoothed finite element method (CS-FEM) Second-order cone programming(SOCP)

Attribute Reduction on Decision Tables Based on Hausdorff Topology

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Computers, Materials & Continua 2024年第11期81卷 3097-3124页

作者： nguyen Long Giang Tran Thanh Dai Le Hoang son Tran Thi Ngan nguyen Nhu son Cu nguyen Giap Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10000Vietnam Faculty of Information Technology University of Economics-Technology for IndustriesHanoi10000Vietnam VNU Information Technology Institute Vietnam National UniversityHanoi10000Vietnam International School Vietnam National UniversityHanoi10000Vietnam Center of Science and Technology Research and Development Thuongmai UniversityHanoi10000Vietnam

Attribute reduction through the combined approach of Rough Sets(RS)and algebraic topology is an open research topic with significant potential for *** research works have introduced a strong relationship between RS and topology spaces for the attribute reduction ***,the mentioned recent methods followed a strategy to construct a new measure for attribute ***,the strategy for searching for the reduct is still to select each attribute and gradually add it to the ***,those methods tended to be inefficient for high-dimensional *** overcome these challenges,we use the separability property of Hausdorff topology to quickly identify distinguishable attributes,this approach significantly reduces the time for the attribute filtering stage of the *** addition,we propose the concept of Hausdorff topological homomorphism to construct candidate reducts,this method significantly reduces the number of candidate reducts for the wrapper stage of the *** are the two main stages that have the most effect on reducing computing time for the attribute reduction of the proposed algorithm,which we call the Cluster Filter Wrapper algorithm based on Hausdorff *** validation on the UCI Machine Learning Repository Data shows that the proposed method achieves efficiency in both the execution time and the size of the reduct.

关键词： Hausdorff topology rough sets topology from rough sets attribute reduction

A novel approach for synthesis of hierarchical mesoporous Nd2O3 nanomaterials

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Journal of Rare Earths 2017年第7期35卷 677-682页

作者： Le Huu Trinh Dinh Quang Khieu Hoang thai Long Tran thai Hoa Duong Tuan Quang nguyen Duc Cuong College of Sciences Hue University 77 Nguyen Hue Hue City Viet Nam Faculty of Hospitality and Tourism Hue University 22 Lam Hoang Hue CityViet Nam College of Education Hue University 34 Le LoL Hue City Viet Nam

A novel route to the fabrication of hierarchical mesoporous Nd_2O_3 nanostructures including nanospheres and nanoporous network was described. Their structure and morphology evolution of the as-synthesized materials were determined by various techniques such as scanning electron microscopy, transmission electron microscopy, high-resolution transmission electron microscopy, X-ray diffraction, energy-dispersive X-ray spectroscopy, Fourier transforminfrared spectra, nitrogen adsorption/desorption isotherm, and a formation mechanism was proposed. The results revealed that the Nd_2O_3 nanospheres had the diameter of 300 nm, which were composed of small primary nanoparticles（NPs） with the size of 10 nm. The nanoporous structure also formed the NPs of ca. 10 nm which were connected with each other to form a three-dimensional（3D） texture. This simple and mild approach to fabricate hierarchical mesoporous Nd_2O_3 nanostructures could be easily scaled up and potentially extended to synthesize other oxide hierarchical structures.

关键词： Nd2O3 hierarchical nanostructures nanospheres nanoporous network rare earths