关注
Saeid Dindarloo
Saeid Dindarloo
MERS llc
在 mersedit.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of fuel consumption of mining dump trucks: A neural networks approach
E Siami-Irdemoosa, SR Dindarloo
Applied Energy 151, 77-84, 2015
1322015
Maximum surface settlement based classification of shallow tunnels in soft ground
SR Dindarloo, E Siami-Irdemoosa
Tunnelling and Underground Space Technology 49, 320-327, 2015
1052015
Work breakdown structure (WBS) development for underground construction
E Siami-Irdemoosa, SR Dindarloo, M Sharifzadeh
Automation in construction 58, 85-94, 2015
962015
Prediction of blast-induced ground vibrations via genetic programming
SR Dindarloo
International Journal of Mining Science and Technology 25 (6), 1011-1015, 2015
902015
A stochastic simulation framework for truck and shovel selection and sizing in open pit mines
SR Dindarloo, M Osanloo, S Frimpong
Journal of the Southern African Institute of Mining and Metallurgy 115 (3 …, 2015
682015
Determinants of fuel consumption in mining trucks
SR Dindarloo, E Siami-Irdemoosa
Energy 112, 232-240, 2016
572016
Peak particle velocity prediction using support vector machines: a surface blasting case study
SR Dindarloo
Journal of the Southern African Institute of Mining and Metallurgy 115 (7 …, 2015
462015
Prediction of blast boulders in open pit mines via multiple regression and artificial neural networks
M Ghiasi, N Askarnejad, SR Dindarloo, H Shamsoddini
International journal of mining science and technology 26 (2), 183-186, 2016
452016
Data mining in mining engineering: results of classification and clustering of shovels failures data
SR Dindarloo, E Siami-Irdemoosa
International Journal of Mining, Reclamation and Environment 31 (2), 105-118, 2017
432017
Evaluation of safety and social indexes in the selection of transportation system alternatives (Truck-Shovel and IPCCs) in open pit mines
H Abbaspour, C Drebenstedt, SR Dindarloo
Safety science 108, 1-12, 2018
342018
Reliability forecasting of a Load‐Haul‐Dump machine: a comparative study of ARIMA and Neural Networks
S Dindarloo
Quality and Reliability Engineering International 32 (4), 1545-1552, 2016
262016
Support vector machine regression analysis of LHD failures
SR Dindarloo
International Journal of Mining, Reclamation and Environment 30 (1), 64-69, 2016
262016
Prediction of the unburned carbon content of fly ash in coal-fired power plants
SR Dindarloo, JC Hower
Coal Combustion and Gasification Products 7 (3), 19-29, 2015
252015
Off-road truck-related accidents in US mines
SR Dindarloo, JP Pollard, E Siami-Irdemoosa
Journal of safety research 58, 79-87, 2016
232016
Estimating the unconfined compressive strength of carbonate rocks using gene expression programming
SR Dindarloo, E Siami-Irdemoosa
arXiv preprint arXiv:1602.03854, 2016
212016
Measuring the effectiveness
SR Dindarloo, E Siami-Irdemoosa, S Frimpong
Mining Engineering 68 (3), 45-50, 2016
202016
A statistical assessment of carbon monoxide emissions from the Truman Shepherd coal fire, Floyd County, Kentucky
SR Dindarloo, MM Hood, A Bagherieh, JC Hower
International Journal of Coal Geology 144, 88-97, 2015
202015
Fundamental evaluation of petrographic effects on coal grindability by seasonal autoregressive integrated moving average (SARIMA)
S Dindarloo, JC Hower, A Bagherieh, AS Trimble
International Journal of Mineral Processing 154, 94-99, 2016
172016
Design of controlled blasting (pre-splitting) in Golegohar iron ore mine, Iran
SR Dindarloo, NA Askarnejad, M Ataei
Mining Technology 124 (1), 64-68, 2015
142015
Soft modelling of the Hardgrove grindability index of bituminous coals: An overview
JC Hower, AH Bagherieh, SR Dindarloo, AS Trimble, SC Chelgani
International Journal of Coal Geology 247, 103846, 2021
112021
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