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2020 – today
- 2024
[j40]Bui Nhi Thanh, Tran Van Phong, Phan Trong Trinh, Romulus Costache, Mahdis Amiri, Dam Duc Nguyen, Hiep Van Le, Indra Prakash, Binh Thai Pham
:
Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models. Earth Sci. Informatics 17(1): 401-419 (2024)- 2023
- [j39]Xiang Lu, Wei Zhou, Hai-Bang Ly, Chongchong Qi, Thuy-Anh Nguyen, May Huu Nguyen, Jiandong Huang, Binh Thai Pham:
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining. Appl. Soft Comput. 147: 110769 (2023) - [j38]Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, Phan Trong Trinh, Binh Thai Pham:
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning. Earth Sci. Informatics 16(1): 131-146 (2023) - 2022
- [j37]Muhammad Aqeel Ashraf, Zhenling Liu, Dangquan Zhang, Binh Thai Pham:
Effects of elastic foundation on the large-amplitude vibration analysis of functionally graded GPL-RC annular sector plates. Eng. Comput. 38(1): 325-345 (2022) - [j36]Quoc Anh Tran, Lanh Si Ho, Hiep Van Le, Indra Prakash, Binh Thai Pham:
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system. Neural Comput. Appl. 34(10): 7835-7849 (2022) - 2021
- [j35]Binh Thai Pham, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Duy Huu Nguyen, Neelima Satyam, Md Masroor, Sufia Rehman, Haroon Sajjad, Mehebub Sahana, Hiep Van Le, Indra Prakash:
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides. Int. J. Digit. Earth 14(5): 575-596 (2021) - [j34]Tran Thi Tuyen, Abolfazl Jaafari, Hoang Phan Hai Yen, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Hiep Van Le, Tran Thi Mai Phuong, Son Hoang Nguyen, Indra Prakash, Binh Thai Pham:
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm. Ecol. Informatics 63: 101292 (2021) - [j33]Binh Thai Pham, Abolfazl Jaafari, Tran Van Phong, Davood Mafi Gholami, Mahdis Amiri, Nguyen Van Tao, Van-Hao Duong, Indra Prakash:
Naïve Bayes ensemble models for groundwater potential mapping. Ecol. Informatics 64: 101389 (2021) - [j32]Payam Sarir, Shuilong Shen, Zhi-Feng Wang, Jun Chen, Suksun Horpibulsuk, Binh Thai Pham:
Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC. Eng. Comput. 37(2): 797-807 (2021) - [j31]Weixun Yong, Jian Zhou, Danial Jahed Armaghani, Mahmood M. D. Tahir, Reza Tarinejad, Binh Thai Pham, Van Van Huynh:
A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles. Eng. Comput. 37(3): 2111-2127 (2021) - [j30]Jianwei Tian, Chongchong Qi, Yingfeng Sun, Zaher Mundher Yaseen, Binh Thai Pham:
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods. Eng. Comput. 37(4): 3455-3471 (2021) - [j29]Binh Thai Pham, Chinh Luu, Dong Van Dao, Tran Van Phong, Duy Huu Nguyen, Hiep Van Le, Jason von Meding, Indra Prakash:
Flood risk assessment using deep learning integrated with multi-criteria decision analysis. Knowl. Based Syst. 219: 106899 (2021) - [j28]Hai-Bang Ly, Binh Thai Pham, Lu Minh Le, Tien-Thinh Le, Vuong Minh Le, Panagiotis G. Asteris:
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models. Neural Comput. Appl. 33(8): 3437-3458 (2021) - [j27]Hai-Bang Ly, May Huu Nguyen, Binh Thai Pham:
Metaheuristic optimization of Levenberg-Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength. Neural Comput. Appl. 33(24): 17331-17351 (2021) - [j26]Romulus Costache, Alireza Arabameri, Thomas Blaschke, Quoc Bao Pham, Binh Thai Pham, Manish Pandey, Aman Arora, Nguyen Thi Thuy Linh, Iulia Costache:
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. Sensors 21(1): 280 (2021) - [j25]Panagiotis G. Asteris, Liborio Cavaleri, Hai-Bang Ly, Binh Thai Pham:
Surrogate models for the compressive strength mapping of cement mortar materials. Soft Comput. 25(8): 6347-6372 (2021) - [j24]Binh Thai Pham, Hai-Bang Ly, Nadhir Al-Ansari, Lanh Si Ho:
A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient. Sci. Program. 2021: 3625289:1-3625289:13 (2021) - 2020
- [j23]Ataollah Shirzadi, Shahrokh Asadi, Himan Shahabi, Somayeh Ronoud, John J. Clague, Khabat Khosravi, Binh Thai Pham, Baharin Bin Ahmad, Dieu Tien Bui:
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping. Eng. Appl. Artif. Intell. 96: 103971 (2020) - [j22]Jian Zhou, Atefeh Nekouie, Chelang A. Arslan, Binh Thai Pham, Mahdi Hasanipanah:
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. Eng. Comput. 36(2): 703-712 (2020) - [j21]Xinxiang Lei, Wei Chen, Binh Thai Pham:
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis. ISPRS Int. J. Geo Inf. 9(7): 443 (2020) - [j20]Minh Thanh Vo, Rohit Sharma, Raghvendra Kumar, Le Hoang Son, Binh Thai Pham, Dieu Tien Bui, Ishaani Priyadarshini, Manash Sarkar, Tuong Le:
Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering. J. Intell. Fuzzy Syst. 38(4): 4287-4299 (2020) - [j19]Romulus Costache, Quoc Bao Pham, Ema Corodescu-Rosca, Catalin I. Cîmpianu, Haoyuan Hong, Nguyen Thi Thuy Linh, Ming Fai Chow, Ali Najah Ahmed, Matej Vojtek, Siraj Muhammed Pandhiani, Gabriel Minea, Nicu Ciobotaru, Mihnea Cristian Popa, Daniel Constantin Diaconu, Binh Thai Pham:
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. Remote. Sens. 12(9): 1422 (2020) - [j18]Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, Nadhir Al-Ansari, Tran Dinh Du, Hoang Phan Hai Yen, Tran Van Phong, Duy Huu Nguyen, Hiep Van Le, Davood Mafi Gholami, Indra Prakash, Hoang Thi Thuy, Tran Thi Tuyen:
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction. Symmetry 12(6): 1022 (2020) - [j17]Elham Yazdani Bejarbaneh, Arash Hosseinian Ahangarnejad, Ahmad Bagheri, Behnam Yazdani Bejarbaneh, Binh Thai Pham, Salinda Buyamin, Fatemeh Shirinzadeh:
Optimal design of adaptive and proportional integral derivative controllers using a novel hybrid particle swarm optimization algorithm. Trans. Inst. Meas. Control 42(8): 1492-1510 (2020)
2010 – 2019
- 2019
- [j16]Mahmoud Bayat, Mansour Ghorbanpour, Rozita Zare, Abolfazl Jaafari, Binh Thai Pham:
Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran. Comput. Electron. Agric. 164 (2019) - [j15]Khabat Khosravi, Prasad Daggupati, Mohammad Taghi Alami, Salih Muhammad Awadh, Mazen Ismaeel Ghareb, Mehdi Panahi, Binh Thai Pham, Fatemeh Rezaie, Chongchong Qi, Zaher Mundher Yaseen:
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq. Comput. Electron. Agric. 167 (2019) - [j14]Qingfeng He, Zhihao Xu, Shaojun Li, Renwei Li, Shuai Zhang, Nianqin Wang, Binh Thai Pham, Wei Chen:
Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling. Entropy 21(2): 106 (2019) - [j13]Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Nhat-Duc Hoang, Binh Thai Pham, Quang-Thanh Bui, Chuyen-Trung Tran, Mahdi Panahi, Baharin Bin Ahmad, Saro Lee:
Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538. Remote. Sens. 11(1): 57 (2019) - [j12]Abolfazl Jaafari, Davood Mafi Gholami, Binh Thai Pham, Dieu Tien Bui:
Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics. Remote. Sens. 11(6): 618 (2019) - [j11]Jie Dou, Ali P. Yunus, Dieu Tien Bui, Mehebub Sahana, Chi-Wen Chen, Zhongfan Zhu, Weidong Wang, Binh Thai Pham:
Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM. Remote. Sens. 11(6): 638 (2019) - [j10]Dieu Tien Bui, Himan Shahabi, Ebrahim Omidvar, Ataollah Shirzadi, Marten Geertsema, John J. Clague, Khabat Khosravi, Biswajeet Pradhan, Binh Thai Pham, Kamran Chapi, Zahra Barati, Baharin Bin Ahmad, Hosein Rahmani, Gyula Gróf, Saro Lee:
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. Remote. Sens. 11(8): 931 (2019) - [j9]Dieu Tien Bui, Khabat Khosravi, Himan Shahabi, Prasad Daggupati, Jan Franklin Adamowski, Assefa M. Melesse, Binh Thai Pham, Hamid Reza Pourghasemi, Mehrnoosh Mahmoudi, Sepideh Bahrami, Biswajeet Pradhan, Ataollah Shirzadi, Kamran Chapi, Saro Lee:
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model. Remote. Sens. 11(13): 1589 (2019) - [j8]Dieu Tien Bui, Ataollah Shirzadi, Himan Shahabi, Kamran Chapi, Ebrahim Omidvar, Binh Thai Pham, Dawood Talebpour Asl, Hossein Khaledian, Biswajeet Pradhan, Mahdi Panahi, Baharin Bin Ahmad, Hosein Rahmani, Gyula Gróf, Saro Lee:
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran). Sensors 19(11): 2444 (2019) - [j7]Hai-Bang Ly, Lu Minh Le, Luong Van Phi, Viet-Hung Phan, Van Quan Tran, Binh Thai Pham, Tien-Thinh Le, Sybil Derrible:
Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data. Sensors 19(22): 4941 (2019) - 2018
- [j6]Abolfazl Jaafari, Eric K. Zenner, Binh Thai Pham:
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers. Ecol. Informatics 43: 200-211 (2018) - [j5]Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Nhat-Duc Hoang, Binh Thai Pham, Quang-Thanh Bui, Chuyen-Trung Tran, Mahdi Panahi, Baharin Bin Ahmad, Saro Lee:
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote. Sens. 10(10): 1538 (2018) - [j4]Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, Ataollah Kavian, Kamran Chapi, Himan Shahabi, Wei Chen, Khabat Khosravi, Binh Thai Pham, Biswajeet Pradhan, Anuar Ahmad, Baharin Bin Ahmad, Dieu Tien Bui:
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping. Sensors 18(11): 3777 (2018) - 2017
- [j3]Kamran Chapi, Vijay P. Singh, Ataollah Shirzadi, Himan Shahabi, Dieu Tien Bui, Binh Thai Pham, Khabat Khosravi:
A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environ. Model. Softw. 95: 229-245 (2017) - 2016
- [j2]Dieu Tien Bui, Binh Thai Pham, Quoc Phi Nguyen, Nhat-Duc Hoang:
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam. Int. J. Digit. Earth 9(11): 1077-1097 (2016) - [j1]Binh Thai Pham, Biswajeet Pradhan, Dieu Tien Bui, Indra Prakash, M. B. Dholakia:
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India). Environ. Model. Softw. 84: 240-250 (2016)
Coauthor Index
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