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Jian Zhou 0007
Person information
- affiliation: Central South University, School of Resources and Safety Engineering, Changsha, China
Other persons with the same name
- Jian Zhou — disambiguation page
- Jian Zhou 0001 — Southeast University, Laboratory of Image Science and Technology, Nanjing, China (and 3 more)
- Jian Zhou 0002
— University of Ulsan, Graduate School of Electrical Engineering, South Korea
- Jian Zhou 0003
— Shanghai University, School of Management, China (and 1 more)
- Jian Zhou 0004
— Huazhong University of Science & Technology, Wuhan National Laboratory for Optoelectronics, China (and 1 more)
- Jian Zhou 0005
— University of Science and Technology of China, Department of Precision Machinery & Precision Instrum., Hefei, China
- Jian Zhou 0006
— Anhui University, Institute of Media Computing, Hefei, China
- Jian Zhou 0008
— Hohai University, School of Earth Sciences and Engineering, Nanjing, China
- Jian Zhou 0009
— Nanjing University of Posts and Telecommunications, College of Computer, China (and 1 more)
- Jian Zhou 0010
— Rutgers University, Department of Industrial and Systems Engineering, Piscataway, NJ, USA
- Jian Zhou 0011
— Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Jian Zhou 0012
— Arizona State University, SECEE, Tempe, USA
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2020 – today
- 2024
- [j28]Jian Zhou, Yulin Zhang, Yingui Qiu:
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting. Artif. Intell. Rev. 57(1): 5 (2024) - [j27]Chuanqi Li
, Jian Zhou, Kun Du:
Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting. J. Comput. Sci. 78: 102266 (2024) - 2023
- [j26]Jian Zhou, Yulin Zhang, Chuanqi Li, Weixun Yong, Yingui Qiu, Kun Du
, Shiming Wang:
Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer. Earth Sci. Informatics 16(3): 2405-2420 (2023) - [j25]Jian Zhou, Zhenyu Wang, Chuanqi Li
, Wei Wei, Shiming Wang, Danial Jahed Armaghani, Kang Peng:
Hybridized random forest with population-based optimization for predicting shear properties of rock fractures. J. Comput. Sci. 72: 102097 (2023) - 2022
- [j24]Jian Zhou
, Shuai Huang, Tao Zhou, Danial Jahed Armaghani, Yingui Qiu:
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential. Artif. Intell. Rev. 55(7): 5673-5705 (2022) - [j23]Jian Zhou
, Chao Chen, Danial Jahed Armaghani, Shuyi Ma
:
Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass. Eng. Comput. 38(1): 247-270 (2022) - [j22]Jian Zhou
, Chao Chen, Manoj Khandelwal
, Ming Tao, Chuanqi Li:
Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion. Eng. Comput. 38(5): 3789-3809 (2022) - [j21]Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed
, Danial Jahed Armaghani, Jian Zhou, Edy Tonnizam Mohamad:
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance. Eng. Comput. 38(5): 3811-3827 (2022) - [j20]Jing Cao, Juncheng Gao
, Hima Nikafshan Rad, Ahmed Salih Mohammed
, Mahdi Hasanipanah, Jian Zhou:
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock. Eng. Comput. 38(5): 3829-3845 (2022) - [j19]Jue Zhao, Hoang Nguyen
, Trung Nguyen-Thoi
, Panagiotis G. Asteris, Jian Zhou:
Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams. Eng. Comput. 38(5): 3847-3869 (2022) - [j18]Yingui Qiu, Jian Zhou, Manoj Khandelwal
, Haitao Yang, Peixi Yang, Chuanqi Li:
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. Eng. Comput. 38(5): 4145-4162 (2022) - [j17]Jian Zhou
, Shuai Huang, Mingzheng Wang, Yingui Qiu:
Performance evaluation of hybrid GA-SVM and GWO-SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation. Eng. Comput. 38(5): 4197-4215 (2022) - [j16]Yong Dai, Manoj Khandelwal
, Yingui Qiu, Jian Zhou, Masoud Monjezi, Peixi Yang:
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting. Neural Comput. Appl. 34(8): 6273-6288 (2022) - [j15]Weixun Yong, Wengang Zhang, Hoang Nguyen, Xuan-Nam Bui
, Yosoon Choi, Trung Nguyen-Thoi
, Jian Zhou, Trung Tin Tran
:
Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms. Reliab. Eng. Syst. Saf. 221: 108335 (2022) - 2021
- [j14]Jian Zhou, Yingui Qiu, Shuangli Zhu, Danial Jahed Armaghani, Chuanqi Li, Hoang Nguyen
, Saffet Yagiz:
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. Eng. Appl. Artif. Intell. 97: 104015 (2021) - [j13]Hongquan Guo, Jian Zhou
, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Mahmood M. D. Tahir:
Deep neural network and whale optimization algorithm to assess flyrock induced by blasting. Eng. Comput. 37(1): 173-186 (2021) - [j12]Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah
, Hassan Bakhshandeh Amnieh:
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng. Comput. 37(1): 265-274 (2021) - [j11]Zhi Yu
, Xiuzhi Shi, Jian Zhou, Dijun Rao, Xin Chen
, Wenming Dong, Xiaohu Miao, Timo Ipangelwa:
Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models. Eng. Comput. 37(2): 991-1006 (2021) - [j10]Jian Zhou, Hongquan Guo, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Mahmood M. D. Tahir:
Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm. Eng. Comput. 37(3): 1679-1694 (2021) - [j9]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) - [j8]Enming Li, Jian Zhou, Xiuzhi Shi, Danial Jahed Armaghani, Zhi Yu
, Xin Chen, Peisheng Huang:
Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill. Eng. Comput. 37(4): 3519-3540 (2021) - [j7]Mahdi Shariati, Danial Jahed Armaghani, Manoj Khandelwal, Jian Zhou, Arameh Eyvaziyan, Majid Khorami:
Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network. J. Adv. Eng. Comput. 5(1): 50 (2021) - [j6]Qiancheng Fang, Hoang Nguyen
, Xuan-Nam Bui
, Trung Nguyen-Thoi, Jian Zhou:
Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model. Neural Comput. Appl. 33(8): 3503-3519 (2021) - 2020
- [j5]Chun Bai, Hoang Nguyen
, Panagiotis G. Asteris, Trung Nguyen-Thoi
, Jian Zhou:
A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams. Appl. Soft Comput. 97(Part B): 106831 (2020) - [j4]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) - [j3]Jian Zhou, Nasim Aghili, Ebrahim Noroozi Ghaleini, Dieu Tien Bui, Mahmood M. D. Tahir, Mohammadreza Koopialipoor:
A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network. Eng. Comput. 36(2): 713-723 (2020)
2010 – 2019
- 2019
- [j2]Xin Chen
, Xiuzhi Shi, Jian Zhou
, Zhi Yu
:
Influence of Polypropylene Fiber Reinforcement on Tensile Behavior and Failure Mode of Tailings Cemented Paste Backfill. IEEE Access 7: 69015-69026 (2019) - 2016
- [j1]Jian Zhou
, Xibing Li, Hani S. Mitri
:
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods. J. Comput. Civ. Eng. 30(5) (2016)
Coauthor Index
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last updated on 2024-09-10 23:44 CEST by the dblp team
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