Selective separation of metals from wastewater using sulfide precipitation: A critical review in agents, operational factors and particle aggregation

X Zhang, L Zeng, Y Wang, J Tian, J Wang… - Journal of …, 2023 - Elsevier
Extensive research has been conducted on the separation and recovery of heavy metals
from wastewater through the targeted precipitation of metal sulfides. It is necessary to …

Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering

W Zhang, KK Phoon - Journal of Rock Mechanics and …, 2022 - ui.adsabs.harvard.edu
We are privileged to be invited by the Honorary Editor-in-Chief, Professor Qihu Qian, Editor-
in-Chief, Professor Xia-Ting Feng, and the editorial staff of the Journal of Rock Mechanics …

Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations

J Zhou, S Huang, Y Qiu - Tunnelling and Underground Space Technology, 2022 - Elsevier
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …

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… - Artificial intelligence …, 2022 - Springer
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …

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, 2022 - Springer
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …

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… - Transportation …, 2022 - Elsevier
Accurate prediction of TBM performance is very important for efficient completion of TBM
construction tunnel project. This paper aims to predict the advance rate (AR) of tunnel boring …

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

Y Dai, M Khandelwal, Y Qiu, J Zhou, M Monjezi… - Neural Computing and …, 2022 - Springer
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an
explosion operation. Excessive backbreak increases operational costs and also poses a …

LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis

B Xi, E Li, Y Fissha, J Zhou… - Mechanics of Advanced …, 2024 - Taylor & Francis
Concrete production contributes significantly to global greenhouse gas emissions, and its
manufacture requires substantial natural resources. These concerns can be partly mitigated …

Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting

C Li, J Zhou, M Khandelwal, X Zhang… - Natural Resources …, 2022 - Springer
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …

[HTML][HTML] Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization

D Li, Z Liu, P Xiao, J Zhou, DJ Armaghani - Underground Space, 2022 - Elsevier
The rockburst prediction becomes more and more challenging due to the development of
deep underground projects and constructions. Increasing numbers of intelligent algorithms …