关注
Chongchong Qi (齐冲冲)
标题
引用次数
引用次数
年份
Cemented paste backfill for mineral tailings management: Review and future perspectives
C Qi, A Fourie
Minerals Engineering 144, 106025, 2019
4752019
Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact
Q Chen, Q Zhang, C Qi, A Fourie, C Xiao
Journal of Cleaner Production 186, 418-429, 2018
3302018
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ...
Catena 188, 104451, 2020
2662020
Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill
C Qi, A Fourie, Q Chen
Construction and Building Materials 159, 473-478, 2018
2572018
A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill
C Qi, A Fourie, Q Chen, Q Zhang
Journal of Cleaner Production 183, 566-578, 2018
2022018
Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study
C Qi, X Tang
Computers & Industrial Engineering 118, 112-122, 2018
1982018
Experimental investigation on the relationship between pore characteristics and unconfined compressive strength of cemented paste backfill
L Liu, Z Fang, C Qi, B Zhang, L Guo, KIIL Song
Construction and Building Materials 179, 254-264, 2018
1872018
Big data management in the mining industry
C Qi
International Journal of Minerals, Metallurgy and Materials 27 (2), 131-139, 2020
1802020
A new procedure for recycling waste tailings as cemented paste backfill to underground stopes and open pits
H Lu, C Qi, Q Chen, D Gan, Z Xue, Y Hu
Journal of Cleaner Production 188, 601-612, 2018
1652018
An intelligent modelling framework for mechanical properties of cemented paste backfill
C Qi, Q Chen, A Fourie, Q Zhang
Minerals Engineering 123, 16-27, 2018
1292018
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
K Khosravi, P Daggupati, MT Alami, SM Awadh, MI Ghareb, M Panahi, ...
Computers and Electronics in Agriculture 167, 105041, 2019
1282019
Experimental investigation on the strength characteristics of cement paste backfill in a similar stope model and its mechanism
Q Chen, Q Zhang, A Fourie, X Chen, C Qi
Construction and Building Materials 154, 34-43, 2017
1242017
An experimental study on the early-age hydration kinetics of cemented paste backfill
L Liu, P Yang, C Qi, B Zhang, L Guo, KIIL Song
Construction and Building Materials 212, 283-294, 2019
1142019
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
BT Pham, T Nguyen-Thoi, C Qi, T Van Phong, J Dou, LS Ho, H Van Le, ...
Catena 195, 104805, 2020
1122020
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods
J Tian, C Qi, Y Sun, ZM Yaseen, BT Pham
Engineering with Computers 37, 3455-3471, 2021
1092021
A comparative study of kernel logistic regression, radial basis function classifier, multinomial naïve bayes, and logistic model tree for flash flood susceptibility mapping
BT Pham, TV Phong, HD Nguyen, C Qi, N Al-Ansari, A Amini, LS Ho, ...
Water 12 (1), 239, 2020
1082020
Lithium slag and fly ash-based binder for cemented fine tailings backfill
Y He, Q Chen, C Qi, Q Zhang, C Xiao
Journal of environmental management 248, 109282, 2019
1062019
Numerical study on the pipe flow characteristics of the cemented paste backfill slurry considering hydration effects
L Liu, Z Fang, C Qi, B Zhang, L Guo, KIIL Song
Powder technology 343, 454-464, 2019
1022019
A novel hybrid soft computing model using random forest and particle swarm optimization for estimation of undrained shear strength of soil
BT Pham, C Qi, LS Ho, T Nguyen-Thoi, N Al-Ansari, MD Nguyen, ...
Sustainability 12 (6), 2218, 2020
1002020
Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill
C Qi, X Tang, X Dong, Q Chen, A Fourie, E Liu
Minerals Engineering 133, 69-79, 2019
952019
系统目前无法执行此操作,请稍后再试。
文章 1–20