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 | 352 | 2009 |
Evaluation of blast-induced ground vibration predictors M Khandelwal, TN Singh Soil Dynamics and Earthquake Engineering 27 (2), 116-125, 2007 | 302 | 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 | 300 | 2006 |
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 (7), 1637-1643, 2013 | 224 | 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 | 166 | 2009 |
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 | 137 | 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 | 137 | 2010 |
Correlating P-wave velocity with the physico-mechanical properties of different rocks M Khandelwal Pure and Applied Geophysics 170 (4), 507-514, 2013 | 135 | 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 | 132 | 2014 |
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 (4), 2845-2860, 2015 | 125 | 2015 |
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 | 115 | 2013 |
Prediction of backbreak in open-pit blasting operations using the machine learning method M Khandelwal, M Monjezi Rock mechanics and rock engineering 46 (2), 389-396, 2013 | 105 | 2013 |
Prediction of blast induced air overpressure in opencast mine M Khandelwal, TN Singh Noise & Vibration Worldwide 36 (2), 7-16, 2005 | 103 | 2005 |
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 (1), 189-195, 2011 | 99 | 2011 |
Correlating index properties of rocks with P-wave measurements M Khandelwal, PG Ranjith Journal of applied geophysics 71 (1), 1-5, 2010 | 96 | 2010 |
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 | 95 | 2016 |
Application of soft computing to predict blast-induced ground vibration M Khandelwal, D Lalit Kumar, M Yellishetty Engineering with Computers 27 (2), 117-125, 2011 | 91 | 2011 |
Prediction of blast-induced air overpressure using support vector machine M Khandelwal, PK Kankar Arabian Journal of Geosciences 4 (3), 427-433, 2011 | 87 | 2011 |
Prediction of flyrock in open pit blasting operation using machine learning method K Manoj, M Monjezi International Journal of Mining Science and Technology 23 (3), 313-316, 2013 | 82 | 2013 |
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples M Khandelwal, A Marto, SA Fatemi, M Ghoroqi, DJ Armaghani, TN Singh, ... Engineering with Computers 34 (2), 307-317, 2018 | 68 | 2018 |