Challenges and applications of digital technology in the mineral industry

M Onifade, JA Adebisi, AP Shivute, B Genc - Resources Policy, 2023 - Elsevier
The mining industry's value chain is gradually changing in order to manage current assets
more effectively and boost production. The nature of mining has not changed much over the …

[HTML][HTML] The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach

GT Nwaila, HE Frimmel, SE Zhang, JE Bourdeau… - Resources Policy, 2022 - Elsevier
The concept of the 4th industrial revolution is becoming a strategic determinant of
sustainability, success and competitiveness in the modern mining sector. The importance of …

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

J Zhou, PG Asteris, DJ Armaghani, BT Pham - Soil Dynamics and …, 2020 - Elsevier
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …

A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

BT Pham, MD Nguyen, T Nguyen-Thoi, LS Ho… - Transportation …, 2021 - Elsevier
This research focuses on presenting new models based on classifiers that can be applied to
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …

A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm

J Huang, PG Asteris, S Manafi Khajeh Pasha… - Engineering with …, 2022 - Springer
The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …

Is Porter's Five Forces Framework Still Relevant? A study of the capital/labour intensity continuum via mining and IT industries

D Isabelle, K Horak, S McKinnon… - Technology Innovation …, 2020 - timreview.ca
Abstract Porter's Five Forces (P5F) framework, published in 1979, helps us to understand
the attractiveness of an industry. The five competitive forces are: the threat of new entrants …

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

J Zeng, B Roy, D Kumar, AS Mohammed… - Engineering with …, 2022 - Springer
A proper planning schedule for tunnel boring machine (TBM) construction is considered as a
necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance …

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

H Harandizadeh, DJ Armaghani - Applied Soft Computing, 2021 - Elsevier
Blasting operations typically have several negative impacts upon human beings and
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …

Co-disposal of magnesium slag and high-calcium fly ash as cementitious materials in backfill

L Liu, S Ruan, C Qi, B Zhang, B Tu, Q Yang… - Journal of Cleaner …, 2021 - Elsevier
Waste minimization is a major approach whereby many industries decrease environmental
pollution and promote cleaner production. To achieve sustainable development, a novel …

[HTML][HTML] Strategic load management: Enhancing eco-efficiency in mining operations through automated technologies

AA Firoozi, M Tshambane, AA Firoozi, SM Sheikh - Results in Engineering, 2024 - Elsevier
In the face of escalating global demands for sustainable practices within the construction
and mining sectors, this paper investigates the transformative impact of automated load …