| Prediction of blast-induced ground vibration using artificial neural network M Khandelwal, TN Singh International Journal of Rock Mechanics and Mining Sciences 46 (7), 1214-1222, 2009 | 465 | 2009 |
| Evaluation of blast-induced ground vibration predictors M Khandelwal, TN Singh Soil Dynamics and Earthquake Engineering 27 (2), 116-125, 2007 | 358 | 2007 |
| Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach M Khandelwal, TN Singh Journal of sound and vibration 289 (4-5), 711-725, 2006 | 352 | 2006 |
| Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration Y Qiu, J Zhou, M Khandelwal, H Yang, P Yang, C Li Engineering with Computers 38 (Suppl 5), 4145-4162, 2022 | 334 | 2022 |
| Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network M Monjezi, M Hasanipanah, M Khandelwal Neural Computing and Applications 22, 1637-1643, 2013 | 274 | 2013 |
| Correlating static properties of coal measures rocks with P-wave velocity M Khandelwal, TN Singh International Journal of Coal Geology 79 (1-2), 55-60, 2009 | 217 | 2009 |
| Correlating P-wave velocity with the physico-mechanical properties of different rocks M Khandelwal Pure and Applied Geophysics 170, 507-514, 2013 | 203 | 2013 |
| Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal, ET Mohamad Underground Space 6 (5), 506-515, 2021 | 202 | 2021 |
| A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak A Sayadi, M Monjezi, N Talebi, M Khandelwal Journal of Rock Mechanics and Geotechnical Engineering 5 (4), 318-324, 2013 | 187 | 2013 |
| An ANN-based approach to predict blast-induced ground vibration ofGol-E-Gohar iron ore mine, Iran M Saadat, M Khandelwal, M Monjezi Journal of Rock Mechanics and Geotechnical Engineering 6 (1), 67–76, 2014 | 180 | 2014 |
| Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang International Journal of Rock Mechanics and Mining Sciences 145, 104856, 2021 | 170 | 2021 |
| Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting DJ Armaghani, E Momeni, SVANK Abad, M Khandelwal Environmental earth sciences 74, 2845-2860, 2015 | 165 | 2015 |
| Evaluation and prediction of blast induced ground vibration using support vector machine M KHANDELWAL, PK KANKAR, SP HARSHA Mining Science and Technology (China) 20 (1), 64-70, 2010 | 162 | 2010 |
| Evaluation and Prediction of Blast Induced Ground Vibration using Support Vector Machine M Khandelwal International Journal of Rock Mechanics & Mining Sciences 47 (3), 509-516, 2010 | 162 | 2010 |
| Prediction of backbreak in open-pit blasting operations using the machine learning method M Khandelwal, M Monjezi Rock mechanics and rock engineering 46, 389-396, 2013 | 144 | 2013 |
| Prediction of drillability of rocks with strength properties using a hybrid GA-ANN technique M Khandelwal, DJ Armaghani Geotechnical and Geological Engineering 34 (2), 605-620, 2016 | 131 | 2016 |
| Prediction of blast induced air overpressure in opencast mine M Khandelwal, TN Singh Noise & Vibration Worldwide 36 (2), 7-16, 2005 | 125 | 2005 |
| An experimental study on tensile characteristics of granite rocks exposed to different high-temperature treatments WGP Kumari, DM Beaumont, PG Ranjith, MSA Perera, BL Avanthi Isaka, ... Geomechanics and Geophysics for Geo-Energy and Geo-Resources 5, 47-64, 2019 | 121 | 2019 |
| A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity PK Sharma, M Khandelwal, TN Singh International Journal of Earth Sciences 100, 189-195, 2011 | 119 | 2011 |
| Application of soft computing to predict blast-induced ground vibration M Khandelwal, D Lalit Kumar, M Yellishetty Engineering with Computers 27, 117-125, 2011 | 114 | 2011 |
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South UniversityDirección de correo verificada de csu.edu.cn