State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …

Advanced analytics for rock blasting and explosives engineering in mining

JLV Mariz, A Soofastaei - … Leverage Advanced Analytics in Mining Industry …, 2022 - Springer
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There
is a historical story of using explosive material in both underground and surface mines sites …

Can web search queries predict prices change on the real estate market?

N Rizun, A Baj-Rogowska - Ieee Access, 2021 - ieeexplore.ieee.org
This study aims to explore whether the intensity of internet searches, according to the
Google Trends search volume index (SVI), is a predictor of changes in real estate prices …

A four immune-related long noncoding RNAs signature as predictors for cervical cancer

M Xu, R Zhang, J Qiu - Human Cell, 2022 - Springer
The progression, metastasis, and prognosis of cervical cancer (CC) is influenced by the
tumor immune microenvironment. Studies proved that long non-coding RNAs (lncRNAs) to …

Estimating air over-pressure resulting from blasting in quarries based on a novel ensemble model (GLMNETs–MLPNN)

H Nguyen, XN Bui, QH Tran - Natural Resources Research, 2021 - Springer
In this study, a coupling of generalized linear modeling (GLMNET) and nonlinear neural
network modeling with multilayer perceptrons (MLPNN), called GLMNETs–MLPNN …

Spatial distribution pattern and health risk of groundwater contamination by cadmium, manganese, lead and nitrate in groundwater of an arid area

M Sakizadeh, C Zhang, A Milewski - Environmental Geochemistry and …, 2024 - Springer
Combining the results of base models to create a meta-model is one of the ensemble
approaches known as stacking. In this study, stacking of five base learners, including …

[HTML][HTML] Advanced glycation end products regulate macrophage apoptosis and influence the healing of diabetic foot wound through miR-361-3p/CSF1R and PI3K/AKT …

Y Jin, Y Huang, G Zeng, J Hu, M Li, M Tian, T Lei… - Heliyon, 2024 - cell.com
Abstract Background Diabetic foot ulcers (DFUs) are a severe complication of diabetes.
Persistent inflammation and impaired vascularization present considerable challenges in …

[图书][B] Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques

RM Bhatawdekar, DJ Armaghani, A Azizi - 2021 - Springer
This book gives a rigorous and up-to-date study of the various AI and machine learning
algorithms for resolving environmental challenges associated with blasting. Blasting is a …

Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques

RM Bhatawdekar, DJ Armaghani, A Azizi… - Environmental Issues of …, 2021 - Springer
With favorable fragmentation during blasting, environmental issues such as ground vibration
and air overpressure (AOp) have remained challenging issues for any mining or civil …

[PDF][PDF] Prediction of Ecological Restoration Following Mine Spoil Genesis in Chronosequence Coal Mine Overburden Spoil Using Machine Learning Techniques

P Agrawal, A Agrawal, S Panigrahi, AK Patel - suniv.ac.in
Ecological restoration should be dogmatic and involves holistic approach emphasizing the
role of microbial community composition that varies in accordance with the physiological …