Jian Zhou
Jian Zhou
Professor, School of Resources and Safety Engineering, Central South University
Verified email at - Homepage
Cited by
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Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines [ESI 1%]
J Zhou*, X Li, X Shi
Safety science 50 (4), 629-644, 2012
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods [ESI 1%]
J Zhou*, X Li, HS Mitri
Journal of Computing in Civil Engineering, ASCE 30 (5), 04016003, 2016
Evaluation method of rockburst: State-of-the-art literature review [ESI 0.1%]
J Zhou*, X Li, HS Mitri
Tunnelling and Underground Space Technology 81, 632-659, 2018
A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning [ESI 1%]
LT Le, H Nguyen, J Dou, J Zhou
Applied Sciences 9 (13), 2630, 2019
Experimental Study of Slabbing and Rockburst Induced by True-Triaxial Unloading and Local Dynamic Disturbance [ESI 1%]
K Du, M Tao, X Li, J Zhou
Rock Mechanics and Rock Engineering 49, 3437–3453, 2016
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories [ESI 0.1%]
J Zhou, E Li, S Yang*, M Wang, X Shi, S Yao, HS Mitri
Safety Science 118, 505-518, 2019
Some developments and new insights of environmental problems and deep mining strategy for cleaner production in mines [ESI 1%]
L Dong, X Tong, X Li, J Zhou, S Wang, B Liu
Journal of cleaner production 210, 1562-1578, 2019
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate [ESI 1%]
J Zhou*, Y Qiu, S Zhu, DJ Armaghani*, C Li, H Nguyen, S Yagiz
Engineering Applications of Artificial Intelligence 97, 104015, 2021
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration [ESI 1%]
Y Qiu, J Zhou*, M Khandelwal*, H Yang, P Yang, C Li
Engineering with Computers 38, 4145–4162, 2022
Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials [ESI 1%]
J Zhou, E Li, H Wei*, C Li, Q Qiao, DJ Armaghani
Applied Sciences 9 (8), 1621, 2019
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate [ESI 1%]
H Xu, J Zhou, P G Asteris, D Jahed Armaghani, MM Tahir
Applied sciences 9 (18), 3715, 2019
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques [ESI 0.1%]
J Zhou*, Y Qiu, DJ Armaghani*, W Zhang, C Li, S Zhu, R Tarinejad
Geoscience Frontiers 12 (3), 101091, 2021
Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
J Zhou*, X Li, HS Mitri
Natural Hazards 79 (1), 291-316, 2015
Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel
J Zhou*, X Shi, K Du, X Qiu, X Li, HS Mitri
International Journal of Geomechanics, ASCE 17 (6), 04016129, 2017
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization [ESI 0.1%]
J Zhou*, Y Qiu, S Zhu, DJ Armaghani*, M Khandelwal, ET Mohamad
Underground Space 6 (5), 506-515, 2021
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models [ESI 0.1%]
J Zhou, PG Asteris, DJ Armaghani, BT Pham
Soil Dynamics and Earthquake Engineering 139, 106390, 2020
Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
X Shi, J Zhou, B Wu, D Huang, W Wei
Transactions of Nonferrous Metals Society of China 22 (2), 432-441, 2012
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations [ESI 0.1%]
J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang
International Journal of Rock Mechanics and Mining Sciences 145, 104856, 2021
Deep neural network and whale optimization algorithm to assess flyrock induced by blasting [ESI 0.1%]
H Guo, J Zhou*, M Koopialipoor, DJ Armaghani*, MM Tahir
Engineering with Computers 37, 173–186, 2021
Review and practice of deep mining for solid mineral resources
X Li, J Zhou, S Wang, B Liu
The Chinese Journal of Nonferrous Metals 27 (6), 1236-1262, 2017
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