Search Results - "Nguyen, Duc Dam"

  • Showing 1 - 17 results of 17
Refine Results
  1. 1

    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.

    Published in Materials (29-10-2021)
    “…The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace…”
    Get full text
    Journal Article
  2. 2

    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…”
    Get full text
    Journal Article
  3. 3

    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

    Published in Construction & building materials (14-03-2022)
    “…•Interlayer Shear Strength of Double-Layer Asphalt was predicted using optimized ANFIS models.•Temperature, normal pressure, and nominal maximum aggregate size…”
    Get full text
    Journal Article
  4. 4

    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…”
    Get full text
    Journal Article
  5. 5

    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,…”
    Get full text
    Journal Article
  6. 6

    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…”
    Get full text
    Journal Article
  7. 7

    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

    Published in Geocarto international (13-12-2022)
    “…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…”
    Get full text
    Journal Article
  8. 8

    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.

    Published in Transportation Geotechnics (01-09-2022)
    “…Seasonal variations of the moisture content of fine-grained soils may result in the accumulation of significant volumetric strains, which may affect the…”
    Get full text
    Journal Article
  9. 9

    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

    Published in Advances in civil engineering (2022)
    “…Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are…”
    Get full text
    Journal Article
  10. 10

    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

    Published in Journal of hydroinformatics (01-01-2024)
    “…Abstract Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for managing and mitigating soil erosion. This study applied four…”
    Get full text
    Journal Article
  11. 11

    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…”
    Get full text
    Journal Article
  12. 12

    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

    Published in Applied water science (01-01-2024)
    “…Recently, the spread of white spot disease in shrimps has a major impact on the aquaculture activity worldwide affecting the economy of the countries,…”
    Get full text
    Journal Article
  13. 13

    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

    Published in Advances in civil engineering (2021)
    “…Landslides are one of the most devastating natural hazards causing huge loss of life and damage to properties and infrastructures and adversely affecting the…”
    Get full text
    Journal Article
  14. 14

    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),…”
    Get full text
    Journal Article
  15. 15
  16. 16

    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

    Published in Earth science informatics (01-02-2024)
    “…Globally, coastal erosion significantly impacts the socio-economic conditions and infrastructure development of coastal regions, with Vietnam facing…”
    Get full text
    Journal Article
  17. 17

    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

    Published in Maǧallaẗ al-abḥath al-handasiyyaẗ (01-09-2024)
    “…Recompression coefficient (Cr) is =an essential parameter utilized to predict consolidation settlement of over-consolidated soil. Thus, the main aim of this…”
    Get full text
    Journal Article