Artigos com autorizações de acesso público - Danial Jahed ArmaghaniSaiba mais
Não disponíveis em nenhum local: 24
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
J Zhou, Y Qiu, S Zhu, DJ Armaghani, C Li, H Nguyen, S Yagiz
Engineering Applications of Artificial Intelligence 97, 104015, 2021
Autorizações: National Natural Science Foundation of China
Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
H Guo, J Zhou, M Koopialipoor, D Jahed Armaghani, MM Tahir
Engineering with Computers 37, 173-186, 2021
Autorizações: National Natural Science Foundation of China
Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
E Li, J Zhou, X Shi, D Jahed Armaghani, Z Yu, X Chen, P Huang
Engineering with Computers 37, 3519-3540, 2021
Autorizações: National Natural Science Foundation of China
Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
J Zhou, B Yazdani Bejarbaneh, D Jahed Armaghani, MM Tahir
Bulletin of Engineering Geology and the Environment 79 (4), 2069-2084, 2020
Autorizações: National Natural Science Foundation of China
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
J Zhou, S Zhu, Y Qiu, DJ Armaghani, A Zhou, W Yong
Acta Geotechnica 17 (4), 1343-1366, 2022
Autorizações: National Natural Science Foundation of China
Random forest and bayesian network techniques for probabilistic prediction of flyrock induced by blasting in quarry sites
H Han, D Jahed Armaghani, R Tarinejad, J Zhou, MM Tahir
Natural Resources Research 29, 655-667, 2020
Autorizações: National Natural Science Foundation of China
Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm
J Zhou, H Guo, M Koopialipoor, D Jahed Armaghani, MM Tahir
Engineering with Computers 37, 1679-1694, 2021
Autorizações: National Natural Science Foundation of China
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
J Zhou, M Koopialipoor, E Li, DJ Armaghani
Bulletin of Engineering Geology and the Environment 79, 4265-4279, 2020
Autorizações: National Natural Science Foundation of China
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
J Zhou, S Huang, T Zhou, DJ Armaghani, Y Qiu
Artificial intelligence review 55 (7), 5673-5705, 2022
Autorizações: National Natural Science Foundation of China
A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles
W Yong, J Zhou, D Jahed Armaghani, MM Tahir, R Tarinejad, BT Pham, ...
Engineering with Computers 37, 2111-2127, 2021
Autorizações: National Natural Science Foundation of China
Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)
J Zhou, C Li, M Koopialipoor, D Jahed Armaghani, B Thai Pham
International Journal of Mining, Reclamation and Environment 35 (1), 48-68, 2021
Autorizações: National Natural Science Foundation of China
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS
H Jing, H Nikafshan Rad, M Hasanipanah, D Jahed Armaghani, ...
Engineering with Computers 37, 2717-2734, 2021
Autorizações: National Natural Science Foundation of China
Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM
C Li, J Zhou, M Tao, K Du, S Wang, DJ Armaghani, ET Mohamad
Transportation Geotechnics 36, 100819, 2022
Autorizações: National Natural Science Foundation of China
A GMDH predictive model to predict rock material strength using three non-destructive tests
D Li, DJ Armaghani, J Zhou, SH Lai, M Hasanipanah
Journal of Nondestructive Evaluation 39, 1-14, 2020
Autorizações: National Natural Science Foundation of China
A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration
Z Yu, X Shi, J Zhou, Y Gou, X Huo, J Zhang, DJ Armaghani
Engineering with Computers, 1-16, 2022
Autorizações: National Natural Science Foundation of China
Stochastic assessment of hard rock pillar stability based on the geological strength index system
C Li, J Zhou, DJ Armaghani, W Cao, S Yagiz
Geomechanics and Geophysics for Geo-Energy and Geo-Resources 7, 1-24, 2021
Autorizações: National Natural Science Foundation of China
A combination of fuzzy Delphi method and ANN-based models to investigate factors of flyrock induced by mine blasting
D Li, M Koopialipoor, DJ Armaghani
Natural Resources Research 30, 1905-1924, 2021
Autorizações: National Natural Science Foundation of China
Proposing several hybrid SSA—Machine learning techniques for estimating rock cuttability by conical pick with relieved cutting modes
J Zhou, Y Dai, S Huang, DJ Armaghani, Y Qiu
Acta Geotechnica 18 (3), 1431-1446, 2023
Autorizações: National Natural Science Foundation of China
A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines
J Zhou, C Chen, K Du, D Jahed Armaghani, C Li
Engineering with Computers, 1-19, 2020
Autorizações: National Natural Science Foundation of China
Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass
J Zhou, C Chen, DJ Armaghani, S Ma
Engineering with Computers, 1-24, 2022
Autorizações: National Natural Science Foundation of China
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