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 …
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 ** hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM
in-Chief, Professor ** hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM
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 …
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
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 …
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
Concrete production contributes significantly to global greenhouse gas emissions, and its
manufacture requires substantial natural resources. These concerns can be partly mitigated …
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
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 …
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
The rockburst prediction becomes more and more challenging due to the development of
deep underground projects and constructions. Increasing numbers of intelligent algorithms …
deep underground projects and constructions. Increasing numbers of intelligent algorithms …