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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
772015
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
512016
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
442016
Energy Efficient Loading and Hauling Operations
A Soofastaei, E Karimpoor, P Knights, M Kizil
Energy Efficiency in Minerals Industry 1, 2017
352017
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
342015
Development of an advanced data analytics model to improve the energy efficiency of haul trucks in surface mines
A Soofastaei
192016
Data analytics applied to the mining industry
A Soofastaei
CRC Press, 2020
182020
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
162015
Introductory Chapter: Virtual Assistants
A Soofastaei
Virtual Assistant 1, 2021
152021
Application of machine learning techniques to predict haul truck fuel consumption in open-pit mines
S Alamdari, MH Basiri, A Mousavi, A Soofastaei
Journal of Mining and Environment 13 (1), 69-85, 2022
132022
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
132018
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
122014
Intelligence predictive analysis to reduce production cost
A Soofastaei
Australian Resources and Investment 11 (1), 24-25, 2017
82017
Advanced data analytic: A new competitive advantage to increase energy efficiency in surface mines
A Soofastaei, J Davis
Australian Resources and Investment 1 (1), 68-69, 2016
82016
Advanced analytics for rock blasting and explosives engineering in mining
JLV Mariz, A Soofastaei
Advanced Analytics in Mining Engineering: Leverage Advanced Analytics in …, 2022
72022
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
62018
The influence of rolling resistance on haul truck fuel consumption in surface mines
A Soofastaei, SM Aminossadati, MS Kizil, P Knights
Tribology International Journal 2 (1), 215-228, 2016
62016
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
62015
Development of an Artificial Intelligence Model to Determine Trucks Energy Consumption
A Soofastaei, SM Aminossadati, MS Kizil, PF Knights
Future Energy Conference, 2014
62014
Digital transformation of mining
A Soofastaei
Data analytics applied to the mining industry, 1-29, 2020
52020
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