| Prediction of fuel consumption of mining dump trucks: A neural networks approach E Siami-Irdemoosa, SR Dindarloo Applied Energy 151, 77-84, 2015 | 129 | 2015 |
| 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 | 104 | 2015 |
| Work breakdown structure (WBS) development for underground construction E Siami-Irdemoosa, SR Dindarloo, M Sharifzadeh Automation in construction 58, 85-94, 2015 | 91 | 2015 |
| Prediction of blast-induced ground vibrations via genetic programming SR Dindarloo International Journal of Mining Science and Technology 25 (6), 1011-1015, 2015 | 88 | 2015 |
| 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 | 67 | 2015 |
| Determinants of fuel consumption in mining trucks SR Dindarloo, E Siami-Irdemoosa Energy 112, 232-240, 2016 | 53 | 2016 |
| 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 | 45 | 2016 |
| 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 | 44 | 2015 |
| 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 | 42 | 2017 |
| 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 | 33 | 2018 |
| 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 | 27 | 2016 |
| Support vector machine regression analysis of LHD failures SR Dindarloo International Journal of Mining, Reclamation and Environment 30 (1), 64-69, 2016 | 26 | 2016 |
| 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 | 25 | 2015 |
| Off-road truck-related accidents in US mines SR Dindarloo, JP Pollard, E Siami-Irdemoosa Journal of safety research 58, 79-87, 2016 | 22 | 2016 |
| Measuring the effectiveness SR Dindarloo, E Siami-Irdemoosa, S Frimpong Mining Engineering 68 (3), 45-50, 2016 | 22 | 2016 |
| Estimating the unconfined compressive strength of carbonate rocks using gene expression programming SR Dindarloo, E Siami-Irdemoosa arXiv preprint arXiv:1602.03854, 2016 | 21 | 2016 |
| 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 | 19 | 2015 |
| 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 | 17 | 2016 |
| 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 | 14 | 2015 |
| Merits of discrete event simulation in modeling mining operations SR Dindarloo, E Siami-Irdemoosa SME annual meeting, Phoenix, AZ, 24-26, 2016 | 11 | 2016 |
Elnaz SiamiBoard memberVerified email at mersedit.com
