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Manoj Khandelwal
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Year
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
4262009
Evaluation of blast-induced ground vibration predictors
M Khandelwal, TN Singh
Soil Dynamics and Earthquake Engineering 27 (2), 116-125, 2007
3432007
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
3342006
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
2592013
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
2002009
Correlating P-wave velocity with the physico-mechanical properties of different rocks
M Khandelwal
Pure and Applied Geophysics 170, 507-514, 2013
1832013
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
1822022
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
1602014
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
1582010
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
1582010
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
1562013
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
1532015
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
1432021
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
1312021
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
1272013
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
1192016
Prediction of blast induced air overpressure in opencast mine
M Khandelwal, TN Singh
Noise & Vibration Worldwide 36 (2), 7-16, 2005
1192005
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
1112011
Correlating index properties of rocks with P-wave measurements
M Khandelwal, PG Ranjith
Journal of applied geophysics 71 (1), 1-5, 2010
1112010
Application of soft computing to predict blast-induced ground vibration
M Khandelwal, D Lalit Kumar, M Yellishetty
Engineering with Computers 27, 117-125, 2011
1102011
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