Quantum theory based on real numbers can be experimentally falsified von Renou, Marc-Olivier, Trillo, David, Weilenmann, Mirjam, Le, Thinh P., Tavakoli, Armin, Gisin, Nicolas, Acín, Antonio, Navascués, Miguel

Volltext

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models von Ly, Hai-Bang, Pham, Binh Thai, Le, Lu Minh, Le, Tien-Thinh, Le, Vuong Minh, Asteris, Panagiotis G.

Volltext

Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling von Asteris, Panagiotis G., Lemonis, Minas E., Le, Tien-Thinh, Tsavdaridis, Konstantinos Daniel

Volltext

Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members von Le, Tien-Thinh, Le, Minh Vuong

Volltext

Probabilistic investigation of the effect of stochastic imperfect interfaces in nanocomposites von Le, Tien-Thinh

Volltext

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks von Asteris, Panagiotis G., Mamou, Anna, Hajihassani, Mohsen, Hasanipanah, Mahdi, Koopialipoor, Mohammadreza, Le, Tien-Thinh, Kardani, Navid, Armaghani, Danial J.

Volltext

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility von Dao, Dong Van, Jaafari, Abolfazl, Bayat, Mahmoud, Mafi-Gholami, Davood, Qi, Chongchong, Moayedi, Hossein, Phong, Tran Van, Ly, Hai-Bang, Le, Tien-Thinh, Trinh, Phan Trong, Luu, Chinh, Quoc, Nguyen Kim, Thanh, Bui Nhi, Pham, Binh Thai

Volltext

Development of advanced artificial intelligence models for daily rainfall prediction von Pham, Binh Thai, Le, Lu Minh, Le, Tien-Thinh, Bui, Kien-Trinh Thi, Le, Vuong Minh, Ly, Hai-Bang, Prakash, Indra

Volltext

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete von Dao, Dong Van, Ly, Hai-Bang, Trinh, Son Hoang, Le, Tien-Thinh, Pham, Binh Thai

Volltext

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach von Qi, Chongchong, Ly, Hai-Bang, Chen, Qiusong, Le, Tien-Thinh, Le, Vuong Minh, Pham, Binh Thai

Volltext

Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes von Ho, Nang Xuan, Le, Tien-Thinh

Volltext

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis von Pham, Binh Thai, Nguyen, Manh Duc, Dao, Dong Van, Prakash, Indra, Ly, Hai-Bang, Le, Tien-Thinh, Ho, Lanh Si, Nguyen, Kien Trung, Ngo, Trinh Quoc, Hoang, Vu, Son, Le Hoang, Ngo, Huong Thanh Thi, Tran, Hieu Trung, Do, Ngoc Minh, Van Le, Hiep, Ho, Huu Loc, Tien Bui, Dieu

Volltext

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation von Dong Van Dao, Adeli, Hojjat, Hai-Bang Ly, Lu Minh Le, Vuong Minh Le, Tien-Thinh Le, Binh Thai Pham

Volltext

A Cognitive Assistant for improving human reasoning skills von Le, Nguyen-Thinh, Wartschinski, Laura

Volltext

Surrogate Neural Network Model for Prediction of Load-Bearing Capacity of CFSS Members Considering Loading Eccentricity von Le, Tien-Thinh

Volltext

Practical Hybrid Machine Learning Approach for Estimation of Ultimate Load of Elliptical Concrete-Filled Steel Tubular Columns under Axial Loading von Le, Tien-Thinh

Volltext

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data von Ly, Hai-Bang, Le, Lu Minh, Phi, Luong Van, Phan, Viet-Hung, Tran, Van Quan, Pham, Binh Thai, Le, Tien-Thinh, Derrible, Sybil

Volltext

Improving human–object interaction with auxiliary semantic information and enhanced instance representation von Nguyen, Khang, Le, Thinh V., Van, Huyen Ngoc N., Bui, Doanh C.

Volltext

Testing Real Quantum Theory in an Optical Quantum Network von Li, Zheng-Da, Mao, Ya-Li, Weilenmann, Mirjam, Tavakoli, Armin, Chen, Hu, Feng, Lixin, Yang, Sheng-Jun, Renou, Marc-Olivier, Trillo, David, Le, Thinh P, Gisin, Nicolas, Acín, Antonio, Navascués, Miguel, Wang, Zizhu, Fan, Jingyun

Volltext

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees von Ly, Hai-Bang, Monteiro, Eric, Le, Tien-Thinh, Le, Vuong Minh, Dal, Morgan, Regnier, Gilles, Pham, Binh Thai

Volltext