Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
Super learner ensemble model: A novel approach for predicting monthly copper price in future
J Zhao, S Hosseini, Q Chen, DJ Armaghani - Resources Policy, 2023 - Elsevier
Companies and governments dependent on copper mining need to be able to predict
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
Medium-to long-term nickel price forecasting using LSTM and GRU networks
AC Ozdemir, K Buluş, K Zor - Resources Policy, 2022 - Elsevier
Recently, nickel is a critical metal for manufacturing stainless steel, rechargeable electric
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform
K Liu, J Cheng, J Yi - Resources Policy, 2022 - Elsevier
The metal prices play an important role in many aspects of economics. Copper, a widely
used metal in the industry, has received an extensive attention recently. Due to the high …
used metal in the industry, has received an extensive attention recently. Due to the high …
Forecasting rare earth stock prices with machine learning
I Henriques, P Sadorsky - Resources Policy, 2023 - Elsevier
Rare earth elements (REEs) are indispensable for producing green technologies and
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
A systematic procurement supply chain optimization technique based on industrial internet of things and application
Y Liu, C Yang, K Huang, W Gui… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Smart manufacturing has become mainstream in the development of manufacturing industry,
where Industrial Internet of Things plays a critical role. In this article, a systematic intelligent …
where Industrial Internet of Things plays a critical role. In this article, a systematic intelligent …
A decomposition ensemble based deep learning approach for crude oil price forecasting
H Jiang, W Hu, L Xiao, Y Dong - Resources Policy, 2022 - Elsevier
As the price of crude oil has nonlinearity, instability, and randomness, capturing its behavior
precisely is significantly challenging and leads to difficulties in forecasting. This study …
precisely is significantly challenging and leads to difficulties in forecasting. This study …
What do the AI methods tell us about predicting price volatility of key natural resources: evidence from hyperparameter tuning
Volatility plays a significant role in pricing derivatives, managing portfolio risk, and using
hedging strategies in the financial markets. As a result, it is imperative to precisely estimate …
hedging strategies in the financial markets. As a result, it is imperative to precisely estimate …
Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction
H Luo, D Wang, J Cheng, Q Wu - Resources Policy, 2022 - Elsevier
Accurate copper price forecasting plays a vital role in many aspects of economics. However,
the complicated fluctuations of copper price make it a challenging job. This study develops a …
the complicated fluctuations of copper price make it a challenging job. This study develops a …
Forecasting on metal resource spot settlement price: New evidence from the machine learning model
T Shi, C Li, W Zhang, Y Zhang - Resources Policy, 2023 - Elsevier
Accurate prediction of the price of metal mineral resources is of great practical significance
for guiding the production of non-renewable resource enterprises and maintaining the …
for guiding the production of non-renewable resource enterprises and maintaining the …