## 5 Conclusions
(2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Microseismic location in hardrock metal mines by machine learning models based on hyperparameter optimization using bayesian optimizer. _Rock Mech. Rock Eng._**2023**, _56_, 8771-8788. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Prediction of ground vibration due to quarry blasting based on gene expression programming: A new model for peak particle velocity prediction. _Int. J. Environ. Sci. Technol._**2016**, _13_, 1453-1464. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining. _J. Vib. Control_**2016**, _22_, 3986-3997. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON] Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. _Environ. Earth Sci._**2015**, _74_, 2845-2860. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] [PERSON] Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms. _Eng. Comput._**2017**, _33_, 835-851. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Novel soft computing model for predicting blast-induced ground vibration in open-pit mines based on particle swarm optimization and XGBoost. _Nat. Res._**2020**, _29_, 711-721. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO. _Nat. Res._**2020**, _29_, 739-750. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Prediction of blast-induced ground vibration intensity in open-pit mines using unmanned aerial vehicle and a novel intelligence system. _Nat. Res._**2020**, _29_, 771-790. [CrossRef]
* [PERSON] (2019) [PERSON] Neuro-fuzzy based approach for prediction of blast-induced ground vibration. _Appl. Acoust._**2019**, _152_, 73-78. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models. _Soil Dyn. Earthq. Eng._**2020**, _139_, 106390. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON] Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural networks. _Int. J. Coal Geol._**2023**, _275_, 104294. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Knowledge mapping of research progress in blast-induced ground vibration from 1990 to 2022 using CiteSpace-based scientometric analysis. _Environ. Sci. Pollut. R._**2023**, _30_, 103534-103555. [CrossRef] [PubMed]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON] Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings. _Reliab. Eng. Syst. Saf._**2023**, _231_, 109032. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] [PERSON] Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms. _Nat. Resour. Res._**2021**, _30_, 1849-1863. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. _Eng. Comput._**2022**, _38_, 4145-4162. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration. _Eng. Comput._**2021**, _37_, 1455-1471.