Search Results - "Pham, Binh An"

An Interpretable Hybrid Machine Learning Approach for Predicting the Compressive Strength of Internal-Curing Concrete Incorporating Recycled Roof-Tile Waste.

Authors: Khuat, Duy Dung Nguyen, Dam Duc Nguyen, May Huu et al.

Source: Buildings (2075-5309); Feb2026, Vol. 16 Issue 3, p674, 27p

Correction: Costache et al. Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. Sensors 2021, 21 , 280.

Authors: Costache, Romulus Arabameri, Alireza Blaschke, Thomas et al.

Source: Sensors (14248220). Mar2026, Vol. 26 Issue 6, p1815. 2p.

Effects of Thermal Treatment, Fermentation, Maceration, and Drying on Physicochemical Properties and Bioactive Compounds of Jujube (Ziziphus mauritiana Lamk.).

Authors: Vu, Duc Ngoc Pham, Binh An Pham, Son Dien et al.

Source: Advances in Agriculture. 5/11/2026, Vol. 2026, p1-11. 11p.

Dynamic Retinal Pathology in Glaucoma Progression Revealed by High‐Resolution Functional Imaging In Vivo.

Authors: Fu, Yiming Minh, Pham Binh He, Sicong et al.

Source: Laser & Photonics Reviews; 3/6/2026, Vol. 20 Issue 5, p1-21, 21p

Thermal Model of the AGR-5/6/7 Experiment with Offset Gas Gaps.

Authors: Hawkes, Grant Pham, Binh Otani, Courtney

Source: Nuclear Science & Engineering; Jan2026, Vol. 200 Issue 1, p69-94, 26p

Total gastrectomy and extended D2 lymphadenectomy for primary gastric squamous cell carcinoma: A case report.

Authors: Pham, Binh Van Nguyen, Duy Duc Tran, Manh Dai et al.

Source: Oncology Letters. Jul2025, Vol. 30 Issue 1, pN.PAG-N.PAG. 1p.

A novel PHDVPSS method to stabilize dredged sediments and AI model to predict its unconfined compressive strength.

Authors: Khan Mastoi, Aamir Arisar, Faheem Ali Bhatti, Nadeem ul karim et al.

Source: Marine Georesources & Geotechnology; Jan2026, Vol. 44 Issue 1, p182-194, 13p

Vietnam Foreign Minister Warns of Escalation in South China Sea.

Authors: Boudreau, John Wainer, David

Source: Bloomberg.com. 9/28/2019, pN.PAG-N.PAG. 1p.

A Combination of Feature Selection and Random Forest Techniques to Solve a Problem Related to Blast-Induced Ground Vibration.

Authors: Zhang, Hong Zhou, Jian Jahed Armaghani, Danial et al.

Source: Applied Sciences (2076-3417); Feb2020, Vol. 10 Issue 3, p869, 18p

Flood hazard potential evaluation using decision tree state‐of‐the‐art models.

Authors: Costache, Romulus Arabameri, Alireza Costache, Iulia et al.

Source: Risk Analysis: An International Journal. Feb2024, Vol. 44 Issue 2, p439-458.

Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam.

Authors: Bui, Long Ta Pham, Binh Quoc Cao, Tho Thi Be

Source: Asian Journal of Atmospheric Environment (AJAE). 6/10/2025, Vol. 19 Issue 1, p1-16. 16p.

Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system.

Authors: Tran, Quoc Anh Ho, Lanh Si Le, Hiep Van et al.

Source: Neural Computing & Applications; May2022, Vol. 34 Issue 10, p7835-7849, 15p

Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India.

Authors: Dam, Nguyen Duc Amiri, Mahdis Al-Ansari, Nadhir et al.

Source: Advances in Civil Engineering; 4/12/2022, p1-16, 16p

Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength.

Authors: Ly, Hai-Bang Nguyen, May Huu Pham, Binh Thai

Source: Neural Computing & Applications; Dec2021, Vol. 33 Issue 24, p17331-17351, 21p

Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis.

Authors: Pham, Binh Thai Van Dao, Dong Acharya, Tri Dev et al.

Source: Environmental Earth Sciences; Oct2021, Vol. 80 Issue 20, p1-13, 13p, 1 Color Photograph, 2 Diagrams, 3 Charts, 1 Graph, 2 Maps

Characterization of soybeans and calibration of their DEM input parameters.

Authors: Nguyen, Thiet Xuan Le, Lu Minh Nguyen, Thong Chung et al.

Source: Particulate Science & Technology; 2021, Vol. 39 Issue 5, p530-548, 19p

Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India.

Authors: Ngo, Trinh Quoc Dam, Nguyen Duc Al-Ansari, Nadhir et al.

Source: Advances in Civil Engineering; 7/23/2021, p1-19, 19p

Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process.

Authors: Bui, Quynh Duy Luu, Chinh Mai, Sy Hung et al.

Source: Risk Analysis: An International Journal. Jul2023, Vol. 43 Issue 7, p1478-1495.

Correlation-guided Masked Autoencoder with Multimodal Contrastive Interaction on Point Clouds.

Authors: Ren, Peng Li, Xiaoheng Bai, Yunfeng et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Dec2025, Vol. 21 Issue 12, p1-23, 23p

Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam.

Authors: Tran, Quoc Cuong Minh, Duc Do Jaafari, Abolfazl et al.

Source: Applied Sciences (2076-3417); Jun2020, Vol. 10 Issue 11, p3710, 19p