Search Results - "Dam Nguyen, Duc"

On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils by Trong, Duong Kien, Pham, Binh Thai, Jalal, Fazal E., Iqbal, Mudassir, Roussis, Panayiotis C., Mamou, Anna, Ferentinou, Maria, Vu, Dung Quang, Duc Dam, Nguyen, Tran, Quoc Anh, Asteris, Panagiotis G.

“…The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace…”
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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test by VU, Dung Quang, JALAL, Fazal E., IQBAL, Mudassir, NGUYEN, Dam Duc, TRONG, Duong Kien, PRAKASH, Indra, PHAM, Binh Thai

“…In this study, we developed novel hybrid models namely Adaptive Neuro Fuzzy Inference System (ANFIS) optimized by Shuffled Complex Evolution (SCE) on the one…”
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Prediction of interlayer shear strength of double-layer asphalt using novel hybrid artificial intelligence models of ANFIS and metaheuristic optimizations by Dao, Dong Van, Bui, Quynh-Anh Thi, Nguyen, Dam Duc, Prakash, Indra, Trinh, Son Hoang, Pham, Binh Thai

“…•Interlayer Shear Strength of Double-Layer Asphalt was predicted using optimized ANFIS models.•Temperature, normal pressure, and nominal maximum aggregate size…”
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Development of multiclass alternating decision trees based models for landslide susceptibility mapping by Pham, Binh Thai, Jaafari, Abolfazl, Nguyen, Dam Duc, Bayat, Mahmoud, Nguyen, Hanh Bich Thi

“…Worldwide landslide occurrences imply the need for intelligence tools to identify the most susceptible areas toward adopting efficient mitigation strategies…”
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Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges by Le, Manh Van, Nguyen, Dam Duc, Ha, Hoang, Prakash, Indra, Pham, Binh Thai

“…The vertical deflection of steel–concrete composite bridges (VDCB) was estimated using novel ensemble soft computing (SC) models. These models, namely SGBE-RF,…”
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Prediction of Interface Shear Stiffness Modulus of Asphalt Pavement using Bagging Ensemble-based Hybrid Machine Learning Model by Bui, Quynh-Anh Thi, Nguyen, Duc Dam, Iqbal, Mudassir, Jalal, Fazal E., Prakash, Indra, Pham, Binh Thai

“…Interface shear stiffness modulus ( K ) is one of the important bonding properties of layers. It is also used to evaluate interface shear strength between…”
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Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm by Bien, Tran Xuan, Truyen, Pham The, Phong, Tran Van, Nguyen, Dam Duc, Amiri, Mahdis, Costache, Romulus, Duc, Dao Minh, Le, Hiep Van, Nguyen, Hanh Bich Thi, Prakash, Indra, Pham, Binh Thai

“…Landslide susceptibility map is considered as one of the important steps in assessing vulnerability of an area to landslide hazard. In this study, the main…”
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Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil by Dam Nguyen, Duc, Roussis, Panayiotis C., Thai Pham, Binh, Ferentinou, Maria, Mamou, Anna, Quang Vu, Dung, Thi Bui, Quynh-Anh, Kien Trong, Duong, Asteris, Panagiotis G.

“…Seasonal variations of the moisture content of fine-grained soils may result in the accumulation of significant volumetric strains, which may affect the…”
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Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India by Dam, Nguyen Duc, Amiri, Mahdis, Al-Ansari, Nadhir, Prakash, Indra, Le, Hiep Van, Nguyen, Hanh Bich Thi, Pham, Binh Thai

“…Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are…”
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Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam by Quyet Nguyen, Chien, Thi Tran, Tuyen, Thanh Thi Nguyen, Trang, Ha Thi Nguyen, Thuy, Astarkhanova, T. S., Van Vu, Luong, Tai Dau, Khac, Nguyen, Hieu Ngoc, Pham, Giang Hương, Nguyen, Duc Dam, Prakash, Indra, Pham, Binh

“…Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for managing and mitigating soil erosion. This study applied four Machine…”
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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system by NGUYEN, Long Hoang, VU, Dung Quang, NGUYEN, Duc Dam, JALAL, Fazal E., IQBAL, Mudassir, DANG, Vinh The, LE, Hiep Van, PRAKASH, Indra, PHAM, Binh Thai

“…A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements, such as the modulus…”
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Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models by Tuyen, Tran Thi, Al-Ansari, Nadhir, Nguyen, Dam Duc, Le, Hai Minh, Phan, Thi Nga Quynh, Prakash, Indra, Costache, Romulus, Pham, Binh Thai

“…Recently, the spread of white spot disease in shrimps has a major impact on the aquaculture activity worldwide affecting the economy of the countries,…”
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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Ngo, Trinh Quoc, Dam, Nguyen Duc, Al-Ansari, Nadhir, Amiri, Mahdis, Phong, Tran Van, Prakash, Indra, Le, Hiep Van, Nguyen, Hanh Bich Thi, Pham, Binh Thai

“…Landslides are one of the most devastating natural hazards causing huge loss of life and damage to properties and infrastructures and adversely affecting the…”
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Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis by Nguyen Viet, Tiep, Nguyen, Dam Duc, Nguyen Duc, Manh, Cao Trong, Cong, Hung, Mai Sy, Le, Hiep Van, Prakash, Indra, Pham, Binh Thai

“…This study undertakes a comparative analysis of four distinct deep learning models, i.e., Convolutional Neural Network (CNN), Deep Neural Network (DNN),…”
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Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas by Bien, Tran Xuan, Iqbal, Mudassir, Jamal, Arshad, Nguyen, Dam Duc, Van Phong, Tran, Costache, Romulus, Ho, Lanh Si, Van Le, Hiep, Nguyen, Hanh Bich Thi, Prakash, Indra, Pham, Binh Thai

“…Landslides are among the most destructive natural hazards causing loss of life, destruction of infrastrucures and damage to properties, especially in hilly and…”
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Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models by Thanh, Bui Nhi, Van Phong, Tran, Trinh, Phan Trong, Costache, Romulus, Amiri, Mahdis, Nguyen, Dam Duc, Le, Hiep Van, Prakash, Indra, Pham, Binh Thai

“…Globally, coastal erosion significantly impacts the socio-economic conditions and infrastructure development of coastal regions, with Vietnam facing…”
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Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model by Nguyen, Manh Duc, Nguyen, Dam Duc, Nguyen Hai, Ha, Ho Sy, An, Nguyen Quang, Phuc, Nguyen Thai, Linh, Nguyen Cong, Dinh, Prakash, Indra, Le, Hiep Van, Pham, Binh Thai

“…Recompression coefficient (Cr) is =an essential parameter utilized to predict consolidation settlement of over-consolidated soil. Thus, the main aim of this…”
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