Prediction of HGI of South African coalfields: a comparative application of ANN, SVR and LSTM models

• Journals
• DOI reference: 10.1080/19392699.2024.2339319

Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization

• Journals
• DOI reference: 10.1016/j.tust.2024.106153

Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models

• Journals
• DOI reference: 10.1016/j.fuel.2024.133953

Dynamic Simulation of Heat Distribution and Losses in Cement Kilns for Sustainable Energy Consumption in Cement Production

• Journals
• DOI reference: 10.3390/su17020553

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

• Journals
• DOI reference: 10.1002/dug2.70024

Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Efficiency

• Journals
• DOI reference: 10.3390/machines13050367

Optimized Slope Stability Assessment Using an Intuitionistic Fuzzy MCDM Approach for LEM Model Selection

• Journals
• DOI reference: 10.1007/s10706-025-03164-5

Reflections on destress blasting for deep level hardrock mining: Key considerations for successful application of the techniques

• Journals
• DOI reference: 10.17159/2411-9717/3686/2025

Evaluating destress blasting for rock fracture and rockburst prediction in deep level hardrock mining

• Journals
• DOI reference: 10.17159/2411-9717/3685/2025

Evaluating the creditworthiness of a viable artisanal and small-scale mining operation

• Journals
• DOI reference: 10.17159/2411-9717/3627/2025

Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy

• Journals
• DOI reference: 10.1016/j.rockmb.2025.100219

Modeling the Abrasive Index from Mineralogical and Calorific Properties Using Tree-Based Machine Learning: A Case Study on the KwaZulu-Natal Coalfield

• Journals
• DOI reference: 10.3390/mining5030048

Study on functional group evolution mechanisms and chemical kinetics during gas coal oxygen-free pyrolysis: Insights from high-temperature in-situ FTIR

• Journals
• DOI reference: 10.1016/j.jclepro.2025.146801

Advanced machine learning for pillar stress prediction and design optimisation in hardrock platinum mining: enhancing safety and sustainability on the Great Dyke of Zimbabwe

• Journals
• DOI reference: 10.1007/s40948-025-00990-y

Optimising tunnel support design with machine learning models

• Journals
• DOI reference: 10.1007/s12665-025-12573-x

Optimising ground support for mine tunnelling on the Great Dyke of Zimbabwe using analytical, empirical, and kinematic methods

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2025-0589

Room and pillar layout analysis for a Great Dyke of Zimbabwe deposit

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2025-0588

A Sustainable and Practical Machine Learning Approach Using Scikit-Learn for Predicting Stope Instability: Identification of Critical Geotechnical Factors

• Journals
• DOI reference: 10.17794/rgn.2025.5.14

An Artificial Intelligence-Based Modification to NHV Estimation of Biomass

• Conference Proceedings
• DOI reference: 10.1007/978-3-031-87558-8_45

A combined application of advanced statistical, soft computing and least square methods for the prediction of higher heating value of coal

• Journals
• DOI reference: 10.1080/19392699.2025.2593959

Real-Time Drilling Control for Hanging-Wall Stability: SCADA-Based Mitigation of Overbreak and Dilution in Long-Hole Stoping

• Journals
• DOI reference: 10.3390/mining5040068

Modernization of Hoisting Operations Through the Design of an Automated Skip Loading System-Enhancing Efficiency and Sustainability

• Journals
• DOI reference: 10.3390/mining5040062

Recent advances in blockchain technology: prospects, applications and constraints in the minerals industry

• Journals
• DOI reference: 10.1080/17480930.2024.2319453

On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives

• Journals
• DOI reference: 10.1080/17480930.2024.2347131

Towards application of positioning systems in the mining industry

• Journals
• DOI reference: 10.1504/IJMME.2024.138723

Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks

• Journals
• DOI reference: 10.1016/j.fuel.2024.132319

Prioritising the Experimental Procedures for Mode I Fracture Toughness Using Fuzzy Group Multi Criteria Decision Making (MCDM) Methods

• Journals
• DOI reference: 10.1007/s00603-024-04123-x

Investigation into the rock mass response to pillar extraction in a hard rock tabular mine

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2024-1011

Geotechnical design for open pit coal mining in proximity to electrical power lines: risks, mitigation, and regulatory compliance

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2024-1003

Comparative investigation of spontaneous combustion of biomass, hydrochar, coal and their blends using Wits-Ehac and thermogravimetric analysis

• Journals
• DOI reference: 10.1080/19392699.2024.2312174

Numerical modeling application in the design of regional pillars for an ore-replacement project: underground platinum mining case study

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2023-0795

Safe mining operations through technological advancement

• Journals
• DOI reference: 10.1016/j.psep.2023.05.052

Enhancement of efficient coal fragmentation through technological advancement

• Journals
• DOI reference: 10.1504/ijmme.2023.131614

Prediction of Thermal Coal Ash Behavior of South African Coals: Comparative Applications of ANN, GPR, and SVR

• Journals
• DOI reference: 10.1007/s11053-023-10192-6

A review of geospatial technology-based applications in mineral exploration

• Journals
• DOI reference: 10.1007/s10708-022-10784-4

Challenges and applications of digital technology in the mineral industry

• Journals
• DOI reference: 10.1016/j.resourpol.2023.103978

Optimization of porous carbons for methane adsorption from South African coal wastes

• Journals
• DOI reference: 10.1080/19392699.2022.2040493

Inhibition of Spontaneous Combustion Characteristic of Biomass Treated with Imidazolium-Based Ionic Liquids Using Thermogravimetric Analysis

• Journals
• DOI reference: 10.1021/acsomega.3c03265

Recycling of Trees Planted for Phytostabilization to Solid Fuel: Parametric Optimization Using the Response Surface Methodology and Genetic Algorithm

• Journals
• DOI reference: 10.1021/acsomega.2c06272

Effects of Proximate Analysis on Coal Ash Fusion Temperatures: An Application of Artificial Neural Network

• Journals
• DOI reference: 10.1021/acsomega.3c04113

A COMPARATIVE STUDY ON POWER CALCULATION METHODS FOR CONVEYOR BELTS IN MINING INDUSTRY

• Journals
• DOI reference: 10.1080/17480930.2021.1949859

Computational intelligence-based models for predicting the spontaneous combustion liability of coal

• Journals
• DOI reference: 10.1080/19392699.2020.1741558

Self-heating characteristics of materials for producing activated carbon

• Journals
• DOI reference: 10.1080/19392699.2020.1729138

Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis

• Journals
• DOI reference: 10.1080/19392699.2019.1695605

On the spontaneous combustion liability of South African coal: a report

• Journals
• DOI reference: 10.1080/19392699.2021.1884554

Overview of mine rescue approaches for underground coal fires: A South African perspective

• Journals
• DOI reference: 10.17159/2411-9717/1738/2022

Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels

• Journals
• DOI reference: 10.1080/19392699.2020.1768080

Predicting the peak particle velocity from rock blasting operations using Bayesian approach

• Journals
• DOI reference: 10.1007/s11600-022-00727-5

On the Performance Assessment of ANN and Spotted Hyena Optimized ANN to Predict the Spontaneous Combustion Liability of Coal

• Journals
• DOI reference: 10.1080/00102202.2020.1815196

Prediction of thermal conductivity of granitic rock: an application of arithmetic and salp swarm algorithms optimized ANN

• Journals
• DOI reference: 10.1007/s12145-022-00880-x

The Spontaneous Combustion of Chemically Activated Carbons from South African Coal Waste

• Journals
• DOI reference: 10.1080/00102202.2020.1854747

Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

• Journals
• DOI reference: 10.1007/s40789-020-00346-9

An Artificial Intelligence-based Model for the Prediction of Spontaneous Combustion Liability of Coal Based on Its Proximate Analysis

• Journals
• DOI reference: 10.1080/00102202.2020.1736577

Spontaneous Combustion Liability Indices of Coal

• Journals
• DOI reference: 10.1080/00102202.2020.1754208

Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions

• Journals
• DOI reference: 10.1007/s10706-021-01772-5

On the dependence of predictive models on experimental dataset: a spontaneous combustion studies scenario

• Journals
• DOI reference: 10.1080/17480930.2021.1884336

Prediction of Mechanical Properties of Coal from Non-destructive Properties: A Comparative Application of MARS, ANN, and GA

• Journals
• DOI reference: 10.1007/s11053-021-09955-w

Countermeasures against coal spontaneous combustion: a review

• Journals
• DOI reference: 10.1080/19392699.2021.1920933

A comparative application of the Buckingham ? (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction

• Journals
• DOI reference: 10.1007/s12517-021-07391-x

On the Application of the Novel Thin Spray-on Liner (TSL): A Progress Report in Mining Operations

• Journals
• DOI reference: 10.1007/s10706-021-01861-5

On the application of drones: a progress report in mining operations

• Journals
• DOI reference: 10.1080/17480930.2020.1804653

Towards an emergency preparedness for self-rescue from underground coal mines

• Journals
• DOI reference: 10.1016/j.psep.2021.03.049

Development of multiple soft computing models for estimating organic and inorganic constituents in coal

• Journals
• DOI reference: 10.1016/j.ijmst.2021.02.003

Determination of semi-mobile in-pit crushing and conveying (SMIPCC) system performance

• Journals
• DOI reference: 10.1007/s12517-021-06550-4

Influence of antioxidants on spontaneous combustion and coal properties

• Journals
• DOI reference: 10.1016/j.psep.2021.02.017

Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modelling

• Journals
• DOI reference: 10.1016/j.jafrearsci.2021.104287

Spontaneous combustion liability between coal seams: A thermogravimetric study

• Journals
• DOI reference: 10.1016/j.ijmst.2020.03.006

Analysis of spontaneous combustion liability indices and coal recording standards/basis

• Journals
• DOI reference: 10.1016/j.ijmst.2020.03.016

A review of research on spontaneous combustion of coal

• Journals
• DOI reference: 10.1016/j.ijmst.2020.03.001

Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines

• Journals
• DOI reference: 10.1016/j.resourpol.2020.101879

The impact of mining on sustainable practices and the traditional culture of developing countries

• Journals
• DOI reference: 10.1007/s13412-020-00613-w

Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties

• Journals
• DOI reference: 10.1186/s40643-020-00350-6

Investigating the effects of gemstone mining on the environs: A case study of Komu in Southwestern Nigeria

• Journals
• DOI reference: 10.1504/IJMME.2020.108640

An overview of conventional and non-conventional techniques for machining of titanium alloys

• Journals
• DOI reference: 10.1051/mfreview/2020029

Performance evaluation of inorganic salts on spontaneous combustion liability

• Conference Proceedings
• DOI reference:

A review of spontaneous combustion studies–South African context

• Journals
• DOI reference: 10.1080/17480930.2018.1466402

Influence of organic and inorganic properties of coal-shale on spontaneous combustion liability

• Journals
• DOI reference: 10.1016/j.ijmst.2019.02.006

Spontaneous combustion liability of coal and coal-shale: a review of prediction methods

• Journals
• DOI reference: 10.1007/s40789-019-0242-9

Prediction of the spontaneous combustion liability of coals and coal shales using statistical analysis

• Journals
• DOI reference: 10.17159/2411-9717/2018/v118n8a2

A new apparatus to establish the spontaneous combustion propensity of coals and coal-shales

• Journals
• DOI reference: 10.1016/j.ijmst.2018.05.012

Spontaneous combustion of coals and coal-shales

• Journals
• DOI reference: 10.1016/j.ijmst.2018.05.013

Comparative analysis of coal and coal-shale intrinsic factors affecting spontaneous combustion

• Journals
• DOI reference: 10.1007/s40789-018-0222-5

Modelling spontaneous combustion liability of carbonaceous materials

• Journals
• DOI reference: 10.1007/s40789-018-0209-2