Ali Soofastaei
Ali Soofastaei
The University of Queensland
Verified email at soofastaei.net - Homepage
Title
Cited by
Cited by
Year
Development of a Multi-layer Perceptron Artificial Neural Network Model to Determine Haul Trucks Energy Consumption
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
International Journal of Mining Science and Technology, 2015
292015
A discrete-event model to simulate the effect of truck bunching due to payload variance on cycle time, hauled mine materials and fuel consumption
A Soofastaei, SM Aminossadati, MS Kizil, P Knights
International Journal of Mining Science and Technology 26 (5), 745-752, 2016
202016
A Comprehensive Investigation of Loading Variance Influence on Fuel Consumption and Gas Emissions in Mine Haulage Operation
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
International Journal of Mining Science and Technology, 2015
202015
Reducing Fuel Consumption of Haul Trucks in Surface Mines Using Artificial Intelligence Models
A Soofastaei, SM Aminossadati, M Kizil, M Knights
Coal Operators’ Conference (Coal 2016), 2016
132016
Payload variance plays a critical role in fuel consumption of mining haul trucks
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
Australian resources and investment 8 (4), 63-64, 2014
92014
Simulation of payload variance effects on truck bunching to minimise energy consumption and greenhouse gas emissions
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
Coal Operators’ Conference (Coal 2015), 2015
62015
Energy Efficient Loading and Hauling Operations
A Soofastaei, E Karimpoor, P Knights, M Kizil
Energy Efficiency in Minerals Industry 1, 2017
52017
Development of an advanced data analytics model to improve the energy efficiency of haul trucks in surface mines
A Soofastaei
52016
A Discrete-Event Model to Simulate the Effect of Payload Variance on Truck Bunching, Cycle Time and Hauled mine Materials
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
International Journal of Mining Science and Technology, 2015
52015
Reducing Fuel Consumption of Haul Trucks in Surface Mines Using Genetic Algorithm
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
Applied Soft Computing Journal, 2015
42015
Development of an Artificial Intelligence Model to Determine Trucks Energy Consumption
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
Future Energy Conference, 2014
42014
Filling up the tank
M De Francia, A Soofastaei, S Aminossadati, M Kizil, P Knights
Australasian Mining Review 2 (12), 56-57, 2015
22015
The application of artificial intelligence to reduce greenhouse gas emissions in the mining industry
A Soofastaei
Green Technologies to Improve the Environment on Earth, 2018
12018
Intelligence Predictive Analysis to Reduce Production Cost
A Soofastaei
Australian Resources and Investment 11 (1), 24-5, 2017
12017
Rolling Resistance in Haul Truck Operations
L Adair, A Soofastaei, SM Aminossadati, MS Kizil, P Knights
Australian Mining 107 (6), 2015
12015
Data Analytics Applied to the Mining Industry
A Soofastaei
CRC Press, 2020
2020
Introductory Chapter: Advanced Analytics and Artificial Intelligence Applications
A Soofastaei
Advanced Analytics and Artificial Intelligence Applications, 2019
2019
Advanced Analytics and Artificial Intelligence Applications
A Soofastaei
BoD–Books on Demand, 2019
2019
Energy-Efficiency Improvement in Mine-Railway Operation Using AI
A Soofastaei
Journal of Energy and Power Engineering 13, 333-348, 2019
2019
Application of Advanced Data Analytics to Improve Haul Trucks Energy Efficiency in Surface Mines
A Soofastaei, P Knights, M Kizil
Extracting Innovations: Mining, Energy, and Technological Change in the …, 2018
2018
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