Advances in blast-induced impact prediction—A review of machine learning applications
Rock fragmentation in mining and construction industries is widely achieved using drilling
and blasting technique. The technique remains the most effective and efficient means of …
and blasting technique. The technique remains the most effective and efficient means of …
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 …
optimization (CSO), to predict rock fragmentation. This population-based method has a …
[HTML][HTML] Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models
Predicting crop yield is an important issue for farmers. Food security is important for decision-
makers. The agriculture industry can more accurately supply human demand for food if the …
makers. The agriculture industry can more accurately supply human demand for food if the …
Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings
This study aims to predict ground vibration intensity in mine blasting, which is measured by
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock
To design the tunnel excavations, the most important parameters are the engineering
properties of rock, eg, Young's modulus (E) and unconfined compressive strength (UCS) …
properties of rock, eg, Young's modulus (E) and unconfined compressive strength (UCS) …
Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning
The aim of this study is to improve ride comfort among tractor drivers by utilizing Internet of
Things (IoT) technology and Machine Learning (ML) techniques to analyze and predict …
Things (IoT) technology and Machine Learning (ML) techniques to analyze and predict …
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock
C Xu, M Nait Amar, MA Ghriga, H Ouaer… - Engineering with …, 2022 - Springer
The geomechanical properties of rock, including shear strength (SS) and uniaxial
compressive strength (UCS), are very important parameters in designing rock structures. To …
compressive strength (UCS), are very important parameters in designing rock structures. To …
A solar-driven lumped SOFC/SOEC system for electricity and hydrogen production: 3E analyses and a comparison of different multi-objective optimization algorithms
Y Cao - Journal of Cleaner Production, 2020 - Elsevier
In this paper, a plant consisting of a solid oxide fuel cell and solid oxide electrolysis cell is
proposed for power provision based on solar energy. In this system, water enters the solid …
proposed for power provision based on solar energy. In this system, water enters the solid …
Robust regression using support vector regressions
M Sabzekar, SMH Hasheminejad - Chaos, Solitons & Fractals, 2021 - Elsevier
Noisy data and outliers has always been one of the main challenges in regression
applications. The presence of these data among training data will produce several negative …
applications. The presence of these data among training data will produce several negative …
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 …
is a historical story of using explosive material in both underground and surface mines sites …