Dynamic Evolution of Concrete Strength Grades: Insights Across Different Ages and Strain Rates

• Journals
• DOI reference: 10.1007/s40996-024-01556-w

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

Knowledge structure and research progress in earthquake-induced liquefaction assessment from 2000 to 2023: A scientometric analysis incorporating domain knowledge

• Journals
• DOI reference: 10.1016/j.soildyn.2024.109075

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

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

Surgical face masks as reinforcement to improve the tensile mode fracture toughness of reinforced concrete under three-point bending tests

• Journals
• DOI reference: 10.1016/j.engfracmech.2024.110741

Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models

• Journals
• DOI reference: 10.1007/s11069-025-07164-9

Geotechnical Challenges in Slope Stability: Experimental Investigation of Coconut Fiber Reinforcement Under Seismic Loading

• Journals
• DOI reference: 10.1007/s40996-025-01759-9

Ground Settlement Prediction in Urban Tunnelling: Leveraging Metaheuristic-Optimized Random Forest Models

• Journals
• DOI reference: 10.1007/s13369-025-10062-8

Optimized Random Forest Models for Rock Mass Classification in Tunnel Construction

• Journals
• DOI reference: 10.3390/geosciences15020047

Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization

• Journals
• DOI reference: 10.1016/j.ghm.2024.11.001

Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO2-Induced Alterations in Coal Strength

• Journals
• DOI reference: 10.32604/cmes.2025.062426

Advancements in Underground Infrastructures

• Book
• DOI reference: 10.1201/9781003336525

Preface - Advancements in Underground Infrastructures

• Book Chapters
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Improving the P-wave Velocity Determination by Considering the Effects of Joint Properties in Artificial Rock Samples

• Journals
• DOI reference: 10.22044/jme.2024.15261.2924

Towards sustainable sand resourcemanagement - Best governance practices and alternatives to river sand in India

• Journals
• DOI reference: 10.1007/s11356-025-36400-9

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

Enhancing tunnel safety with machine learning models for ground behavior prediction

• Journals
• DOI reference: 10.1016/j.tust.2025.106888

Preface - Proceedings of the Innovative and Sustainable Infrastructure International Convention, ISIIC 2023

• Book Chapters
• DOI reference:

Interpretable Ensemble Learning with Levy Flight-Enhanced Heuristic Technique for Strength Prediction of MICP-Treated Sands

• Journals
• DOI reference: 10.3390/app15147972

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

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

Optimisation of Ensemble Learning Algorithms for Geotechnical Applications: A Mathematical Approach to Relative Density Prediction

• Journals
• DOI reference: 10.1155/adce/3042895

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

Optimizing Random Forest with Hybrid Swarm Intelligence Algorithms for Predicting Shear Bond Strength of Cable Bolts

• Journals
• DOI reference: 10.3390/machines13090758

Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta-Heuristic Optimization

• Journals
• DOI reference: 10.1002/nag.70083

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

Integrating ANN Prediction with Honeybee Optimisation for Flyrock Minimisation in Open-Pit Mining

• Journals
• DOI reference: 10.17794/rgn.2025.5.11

Graded Evaluation and Optimal Scheme Selection of Mine Rock Diggability Based on the Multidimensional Cloud Model

• Journals
• DOI reference: 10.3390/machines13111019

Ground-Type Classification from Earth-Pressure-Balance Shield Operational Data with Uncertainty Quantification

• Journals
• DOI reference: 10.3390/app152413234

Slope stability analysis considering fully saturated poro-elasto-plasticity by an image-based scaled boundary finite element approach

• Journals
• DOI reference: 10.1016/j.enganabound.2023.10.011

Impact of Velocity of Detonation and Charge per Bank Cubic Meters on Flyrock Throw Prediction Using Support Vector Machine

• Journals
• DOI reference: 10.1007/s42461-024-00916-4

Genetic justification of COVID-19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm

• Journals
• DOI reference: 10.1111/jcmm.18105

A comparative analysis of hybrid RF models for efficient lithology prediction in hard rock tunneling using TBM working parameters

• Journals
• DOI reference: 10.1007/s11600-024-01320-8

Experimental and numerical investigation on crack propagation for a zigzag central cracked Brazilian disk

• Journals
• DOI reference: 10.1007/s40571-024-00762-7

Prediction of rock fragmentation in a fiery seam of an open-pit coal mine in India

• Journals
• DOI reference: 10.1016/j.jrmge.2023.11.047

Enhanced multi-task learning models for pile drivability prediction: Leveraging metaheuristic algorithms and statistical evaluation

• Journals
• DOI reference: 10.1016/j.trgeo.2024.101288

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

• Journals
• DOI reference: 10.1007/s40948-024-00768-8

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

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

Applications of Soft Computing Methods in Backbreak Assessment in Surface Mines: A Comprehensive Review

• Journals
• DOI reference: 10.32604/cmes.2024.048071

Determining the Cohesive Length of Rock Materials by Roughness Analysis

• Journals
• DOI reference: 10.3390/geosciences14070176

Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological overview (2002-2022)

• Journals
• DOI reference: 10.1016/j.tust.2024.106081

Computational Simulation and Experimental Analysis on Wearing Mechanisms of Gypsum and Concrete Samples in Pin-on-Disk ASTM Abrasion Testing

• Journals
• DOI reference: 10.1002/nag.3848

Advanced predictive modelling of electrical resistivity for geotechnical and geo-environmental applications using machine learning techniques

• Journals
• DOI reference: 10.1016/j.jappgeo.2024.105557

Stability Analysis of Mine Embankment Against River at Opencast Coal Mine

• Conference Proceedings
• DOI reference: 10.1007/978-981-97-1757-6_58

Experimental test and PFC3D simulation of the effect of a hole on the tensile behavior of concrete: A comparative analysis of four different hole shapes

• Journals
• DOI reference: 10.1080/15397734.2023.2174134

Dynamic compression mechanical properties of sandstone supported by Thin Spray-On Liner

• Journals
• DOI reference: 10.1080/15397734.2023.2185635

The Lithium-Ion Battery Recycling Process from a Circular Economy Perspective—A Review and Future Directions

• Journals
• DOI reference: 10.3390/en16073228

A true triaxial strength criterion for rocks by gene expression programming

• Journals
• DOI reference: 10.1016/j.jrmge.2023.03.004

Adaptive phase-field modelling of fracture propagation in poroelastic media using the scaled boundary finite element method

• Journals
• DOI reference: 10.1016/j.cma.2023.116056

Quantifying the cohesive strength of rock materials by roughness analysis using a domain based multifractal framework

• Journals
• DOI reference: 10.1016/j.ijrmms.2023.105492

Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils

• Journals
• DOI reference: 10.1007/s13369-023-07962-y

Knowledge mapping of research progress in blast-induced ground vibration from 1990 to 2022 using CiteSpace-based scientometric analysis

• Journals
• DOI reference: 10.1007/s11356-023-29712-1

Comparative Evaluation of Empirical Approaches and Artificial Intelligence Techniques for Predicting Uniaxial Compressive Strength of Rock

• Journals
• DOI reference: 10.3390/geosciences13100294

Comparison and application of top and bottom air decks to improve blasting operations

• Journals
• DOI reference: 10.3934/geosci.2023002

Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine

• Journals
• DOI reference: 10.3934/geosci.2023019

Order of Intermittent Rock Fractured Surfaces

• Journals
• DOI reference: 10.3390/su15010745

Estimating the mean cutting force of conical picks using random forest with salp swarm algorithm

• Journals
• DOI reference: 10.1016/j.rineng.2023.100892

Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models

• Journals
• DOI reference: 10.1007/s42461-022-00713-x

Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method

• Journals
• DOI reference: 10.3389/fpubh.2023.1119580

Sensitivity analysis on blast design parameters to improve bench blasting outcomes using the Taguchi method

• Journals
• DOI reference: 10.1007/s40948-023-00540-4

Stability prediction of underground entry-type excavations based on particle swarm optimization and gradient boosting decision tree

• Journals
• DOI reference: 10.1016/j.undsp.2022.08.002

Image based probabilistic slope stability analysis of soil layer interface fluctuations with Brownian bridges

• Journals
• DOI reference: 10.1016/j.engfailanal.2023.107227

Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation

• Journals
• DOI reference: 10.1007/s00366-021-01522-4

COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks

• Journals
• DOI reference: 10.1016/j.trgeo.2022.100806

Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting

• Journals
• DOI reference: 10.1007/s11053-022-10082-3

Simultaneous slope design optimisation and stability assessment using a genetic algorithm and a fully automatic image-based analysis

• Journals
• DOI reference: 10.1002/nag.3431

Mineral Composition and Grain Size Effects on the Fracture and Acoustic Emission (AE) Characteristics of Rocks Under Compressive and Tensile Stress

• Journals
• DOI reference: 10.1007/s00603-022-02980-y

SPATIALLY VARIABLE COAL SLOPE STABILITY ANALYSIS USING IMAGE-BASED SCALED BOUNDARY FINITE ELEMENT METHOD

• Conference Proceedings
• DOI reference: 10.23967/wccm-apcom.2022.106

Preface - Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures : ICGMTU, 20 December 2021

• Book Chapters
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Utilization Methods and Practice of Abandoned Mines and Related Rock Mechanics under the Ecological and Double Carbon Strategy in China—A Comprehensive Review

• Journals
• DOI reference: 10.3390/min12091065

Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach

• Journals
• DOI reference: 10.3390/app12189189

Spatially Variable Coal Slope Stability Analysis using Image-Based Scaled Boundary Finite Element Method

• Conference Proceedings
• DOI reference: 10.23967/wccm-apcom.2022.106

Mineral Texture Identification Using Local Binary Patterns Equipped with a Classification and Recognition Updating System (CARUS)

• Journals
• DOI reference: 10.3390/su141811291

Effect of multiple loading rates on uniaxial compressive strength of rock

• Conference Proceedings
• DOI reference:

Stability Prediction of Residual Soil and Rock Slope Using Artificial Neural Network

• Journals
• DOI reference: 10.1155/2022/4121193

Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach

• Journals
• DOI reference: 10.1016/j.resourpol.2022.103087

Intermittency of Rock Fractured Surfaces: A Power Law

• Journals
• DOI reference: 10.3390/w14223662

Feasibility Study and Design of an Underground Entry/Access Structure at an Underground Gold Mine

• Conference Proceedings
• DOI reference: 10.56952/ARMA-2022-0527

Computing Elastic Moduli of Igneous Rocks Using Modal Composition and Effective Medium Theory

• Journals
• DOI reference: 10.3390/geosciences12110413

Stability evaluation of dump slope using artificial neural network and multiple regression

• Journals
• DOI reference: 10.1007/s00366-021-01358-y

Development of the scaled boundary finite element method for image-based slope stability analysis

• Journals
• DOI reference: 10.1016/j.compgeo.2021.104586

Stability prediction of a natural and man-made slope using various machine learning algorithms

• Journals
• DOI reference: 10.1016/j.trgeo.2022.100745

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

• Journals
• DOI reference: 10.1007/s00521-021-06776-z

A study on environmental issues of blasting using advanced support vector machine algorithms

• Journals
• DOI reference: 10.1007/s13762-022-03999-y

Investigating the Slurry Fluidity and Strength Characteristics of Cemented Backfill and Strength Prediction Models by Developing Hybrid GA-SVR and PSO-SVR

• Journals
• DOI reference: 10.1007/s42461-022-00560-w

Experimental investigation and theoretical analysis of indentations on cuboid hard rock using a conical pick under uniaxial lateral stress

• Journals
• DOI reference: 10.1007/s40948-022-00345-x

Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms

• Journals
• DOI reference: 10.1016/j.tust.2022.104570

Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion

• Journals
• DOI reference: 10.1007/s00366-020-01230-5

Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations

• Journals
• DOI reference: 10.1007/s00366-021-01336-4

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

• Journals
• DOI reference: 10.1007/s00366-021-01393-9

Application of Slope Mass Rating and Kinematic Analysis Along Road Cut Slopes in the Himalayan Terrain

• Conference Proceedings
• DOI reference: 10.1007/978-981-16-9770-8_47

Intelligent Techniques for Prediction of Drilling Rate for Percussive Drills in Topically Weathered Limestone

• Conference Proceedings
• DOI reference: 10.1007/978-981-16-9770-8_29

Prediction of Rockburst Using Supervised Machine Learning

• Conference Proceedings
• DOI reference: 10.1007/978-981-16-9770-8_7

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

• Journals
• DOI reference: 10.1016/j.ijmst.2021.07.011

Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

• Journals
• DOI reference: 10.1016/j.jrmge.2021.07.013

Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models

• Journals
• DOI reference: 10.1109/ACCESS.2021.3089205

An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass

• Journals
• DOI reference: 10.1016/j.jrmge.2021.05.010

Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations

• Journals
• DOI reference: 10.1007/s11053-021-09929-y

Evaluation and Assessment of Blast-Induced Ground Vibrations in an Underground Gold Mine: A Case Study

• Journals
• DOI reference: 10.1007/s11053-021-09943-0

Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization

• Journals
• DOI reference: 10.1016/j.undsp.2020.05.008

A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting

• Journals
• DOI reference: 10.1007/s11053-020-09773-6

A case study of grinding coarse 5 mm particles into sand grade particles less than 2.36 mm

• Journals
• DOI reference: 10.15625/0866-7187/15701

Prediction and Assessment of Rock Burst Using Various Meta-heuristic Approaches

• Journals
• DOI reference: 10.1007/s42461-021-00415-w

Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique

• Journals
• DOI reference: 10.1016/j.ijrmms.2021.104794

Stress–strain relationship of sandstone under confining pressure with repetitive impact

• Journals
• DOI reference: 10.1007/s40948-021-00250-9

Low amplitude fatigue performance of sandstone, marble, and granite under high static stress

• Journals
• DOI reference: 10.1007/s40948-021-00266-1

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

• Journals
• DOI reference: 10.1016/j.ijrmms.2021.104856

Stability prediction of Himalayan residual soil slope using artificial neural network

• Journals
• DOI reference: 10.1007/s11069-020-04141-2

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling

• Journals
• DOI reference: 10.1007/s00366-019-00731-2

Waveform features and failure patterns of hollow cylindrical sandstone specimens under repetitive impact and triaxial confinements

• Journals
• DOI reference: 10.1007/s40948-020-00183-9

Experimental investigations on mechanical performance of rocks under fatigue loads and biaxial confinements

• Journals
• DOI reference: 10.1007/s11771-020-4523-7

Early age properties of alkali-activated cement and class G cement under different saturation conditions in oil well applications

• Journals
• DOI reference: 10.1016/j.conbuildmat.2020.121543

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

• Journals
• DOI reference: 10.1007/s00366-019-00711-6

Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques

• Journals
• DOI reference: 10.1007/s40948-020-00164-y

An experimental study on tensile characteristics of granite rocks exposed to different high-temperature treatments

• Journals
• DOI reference: 10.1007/s40948-018-0098-2

Prediction of index properties of different rocks using non-destructive testing

• Conference Proceedings
• DOI reference:

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples

• Journals
• DOI reference: 10.1007/s00366-017-0541-y

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models

• Journals
• DOI reference: 10.1007/s00366-016-0452-3

Classification and regression tree technique in estimating peak particle velocity caused by blasting

• Journals
• DOI reference: 10.1007/s00366-016-0455-0

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

• Journals
• DOI reference: 10.1007/s12665-016-6335-5

Study of crack propagation in concrete under multiple loading rates by acoustic emission

• Journals
• DOI reference: 10.1007/s40948-017-0067-1

An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals

• Journals
• DOI reference: 10.1007/s12665-017-6726-2

Evaluation and prediction of blast-induced ground vibration using support vector machine

• Journals
• DOI reference: 10.1016/j.ijrmms.2010.01.007

Validation of RMR-based support design using roof bolts by numerical modeling for underground coal mine of Monnet Ispat, Raigarh, India-a case study

• Journals
• DOI reference: 10.1007/s12517-011-0313-8

Soft Computing Approach to Evaluate and Predict Blast Vibrations

• Book
• DOI reference:

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

• Journals
• DOI reference: 10.1007/s00603-016-1015-z

Prediction of Safe Charge to Protect Surrounding Structures Using Support Vector Machine

• Journals
• DOI reference: 10.1007/s10706-012-9503-8

Predicting elastic properties of schistose rocks from unconfined strength using intelligent approach

• Journals
• DOI reference: 10.1007/s12517-009-0093-6

Prediction of backbreak in open-pit blasting operations using the machine learning method

• Journals
• DOI reference: 10.1007/s00603-012-0269-3

Prediction of blast-induced air overpressure using support vector machine

• Journals
• DOI reference: 10.1007/s12517-009-0092-7

Prediction of sea water intrusion for mining activity in close precincts of sea shore

• Journals
• DOI reference: 10.1186/2193-1801-2-417

Prediction of thermal conductivity of rocks by soft computing

• Journals
• DOI reference: 10.1007/s00531-010-0550-1

Prediction of flyrock in open pit blasting operation using machine learning method

• Journals
• DOI reference: 10.1016/j.ijmst.2013.05.005

Laboratory Investigations for the Role of Flushing Media in Diamond Drilling of Marble

• Journals
• DOI reference: 10.1007/s00603-011-0144-7

Effect of strain rate on strength properties of low-calcium fly-ash-based geopolymer mortar under dry condition

• Journals
• DOI reference: 10.1007/s12517-011-0507-0

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

• Journals
• DOI reference: 10.1007/s00521-012-0856-y

Evaluation of effect of blast design parameters on flyrock using artificial neural networks

• Journals
• DOI reference: 10.1007/s00521-012-0917-2

Evaluation of safe explosive charge in surface mines using artificial neural network

• Conference Proceedings
• DOI reference: 10.5220/0004761703660371

Correlating P-wave Velocity with the Physico-Mechanical Properties of Different Rocks

• Journals
• DOI reference: 10.1007/s00024-012-0556-7

comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak

• Journals
• DOI reference: 10.1016/j.jrmge.2013.05.007

An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran

• Journals
• DOI reference: 10.1016/j.jrmge.2013.11.001

An intelligent approach to evaluate drilling performance

• Journals
• DOI reference: 10.1007/s00521-010-0457-6

Blast-induced ground vibration prediction using support vector machine

• Journals
• DOI reference: 10.1007/s00366-010-0190-x

Behaviour of Brittle Material in Multiple Loading Rates Under Uniaxial Compression

• Journals
• DOI reference: 10.1007/s10706-013-9651-5

Backbreak prediction in the Chadormalu iron mine using artificial neural network

• Journals
• DOI reference: 10.1007/s00521-012-1038-7

Artificial Neural Network as a Tool for Backbreak Prediction

• Journals
• DOI reference: 10.1007/s10706-013-9686-7

Artificial neural network for prediction of air flow in a single rock joint

• Journals
• DOI reference: 10.1007/s00521-011-0595-5

Application of geogrids in waste dump stability: a numerical modeling approach

• Journals
• DOI reference: 10.1007/s12665-011-1385-1

Application of soft computing in predicting rock fragmentation to reduce environmental blasting side effects

• Journals
• DOI reference: 10.1007/s12517-012-0770-8

Application of soft computing to predict blast-induced ground vibration

• Journals
• DOI reference: 10.1007/s00366-009-0157-y

Application of an Expert System for the Assessment of Blast Vibration

• Journals
• DOI reference: 10.1007/s10706-011-9463-4

Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining

• Journals
• DOI reference: 10.1007/s00603-013-0368-9

Application of an expert system to predict thermal conductivity of rocks

• Journals
• DOI reference: 10.1007/s00521-011-0573-y

Differential evolution algorithm for predicting blast induced ground vibrations

• Journals
• DOI reference: 10.1016/j.ijrmms.2015.03.020

Assessment of Maximum Explosive Charge Used Per Delay in Surface Mines

• Conference Proceedings
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Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

• Journals
• DOI reference: 10.1007/s12665-015-4305-y

Superiority of neural networks for pillar stress prediction in bord and pillar method

• Journals
• DOI reference: 10.1007/s12517-009-0101-x

A new model based on gene expression programming to estimate air flow in a single rock joint

• Journals
• DOI reference: 10.1007/s12665-016-5524-6

Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique

• Journals
• DOI reference: 10.1007/s10706-015-9970-9

Evaluation of dump slope stability of a coal mine using artificial neural network

• Journals
• DOI reference: 10.1007/s40948-015-0009-8

Geophysical Characterization of Salinity Ingress in Surka Mining Lease Area of Gujarat, India

• Journals
• DOI reference: 10.4172/2168-9806.1000136

Software feasibility study to transform complex scientific written knowledge to a clear, rationale and simple language

• Journals
• DOI reference: 10.5121/ijdms.2015.7401

A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity

• Journals
• DOI reference: 10.1007/s00531-009-0506-5

A Dimensional Analysis Approach to Study Blast-Induced Ground Vibration

• Journals
• DOI reference: 10.1007/s00603-014-0604-y

A Method to Improve Transparency of Electronic Election Process without Identification

• Conference Proceedings
• DOI reference: 10.1016/j.procs.2015.12.016

The effect of simplification based on words and their role in approving or rejecting articles

• Conference Proceedings
• DOI reference: 10.1109/PIC.2015.7489812

Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks

• Journals
• DOI reference: 10.1016/j.fuel.2009.11.028

Geological and geotechnical aspects of underground coal mining methods within Australia

• Journals
• DOI reference: 10.1007/s12665-009-0239-6

Correlating index properties of rocks with P-wave measurements

• Journals
• DOI reference: 10.1016/j.jappgeo.2010.01.007

A review on existing opencast coal mining methods within Australia

• Journals
• DOI reference: 10.1007/s10913-010-0036-3

Enhancing diamond drilling performance by the addition of non-ionic polymer to the flushing media

• Journals
• DOI reference: 10.1016/S1674-5264(09)60215-5

Application of neural networks for the prediction of rock fragmentation in Chadormalu iron mine

• Journals
• DOI reference: 10.2478/v10267-012-0051-0

Artificial neural networks as a valuable tool for well log interpretation

• Journals
• DOI reference: 10.1080/10916460903030482

Evaluation and prediction of blast induced ground vibration using support vector machine

• Journals
• DOI reference: 10.1016/S1674-5264(09)60162-9