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Hyongdoo Tom Jang
Hyongdoo Tom Jang
Hanwha Mining Services Australia
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Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers
G Aydin, H Jang, E Topal
Energy Sources, Part B: Economics, Planning, and Policy 11 (3), 212-219, 2016
1562016
Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
H Jang, E Topal
Tunnelling and Underground Space Technology 38, 161-169, 2013
1382013
Development of underground mine monitoring and communication system integrated ZigBee and GIS
MA Moridi, Y Kawamura, M Sharifzadeh, EK Chanda, M Wagner, H Jang, ...
International Journal of Mining Science and Technology 25 (5), 811-818, 2015
1272015
An investigation of underground monitoring and communication system based on radio waves attenuation using ZigBee
MA Moridi, Y Kawamura, M Sharifzadeh, EK Chanda, H Jang
Tunnelling and Underground Space Technology 43, 362-369, 2014
1022014
Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments)
MA Moridi, M Sharifzadeh, Y Kawamura, HD Jang
Tunnelling and Underground Space Technology 73, 127-138, 2018
982018
A review of soft computing technology applications in several mining problems
H Jang, E Topal
Applied Soft Computing 22, 638-651, 2014
982014
Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system
H Jang, E Topal, Y Kawamura
Applied Soft Computing 32, 1-12, 2015
682015
A review of cut-off grade policy models for open pit mining operations
MWA Asad, MA Qureshi, H Jang
Resources Policy 49, 142-152, 2016
652016
Transformation of the Australian mining industry and future prospects
H Jang, E Topal
Mining Technology 129 (3), 120-134, 2020
482020
An empirical approach of overbreak resistance factor for tunnel blasting
H Jang, Y Kawamura, U Shinji
Tunnelling and Underground Space Technology 92, 103060, 2019
352019
Effects of water deck on rock blasting performance
H Jang, D Handel, Y Ko, HS Yang, J Miedecke
International Journal of Rock Mechanics and Mining Sciences 112, 77-83, 2018
332018
Unplanned dilution and ore loss prediction in longhole stoping mines via multiple regression and artificial neural network analyses
H Jang, E Topal, Y Kawamura
Journal of the Southern African Institute of Mining and Metallurgy 115 (5 …, 2015
322015
Development of 3D rock fragmentation measurement system using photogrammetry
H Jang, I Kitahara, Y Kawamura, Y Endo, E Topal, R Degawa, S Mazara
International Journal of Mining, Reclamation and Environment 34 (4), 294-305, 2020
312020
Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network
HD Jang
Curtin University, 2014
242014
Illumination of parameter contributions on uneven break phenomenon in underground stoping mines
H Jang, E Topal, Y Kawamura
International Journal of Mining Science and Technology 26 (6), 1095-1100, 2016
212016
Implementation and Verification of a Wi-Fi Ad Hoc Communication System in an Underground Mine Environment
H Ikeda, Y Kawamura, ZPL Tungol, MA Moridi, H Jang
Journal of Mining Science 55 (3), 505-514, 2020
202020
Review of machine learning application in mine blasting
A Abd Elwahab, E Topal, HD Jang
Arabian Journal of Geosciences 16 (2), 133, 2023
172023
Application of deep learning approaches in igneous rock hyperspectral imaging
BB Sinaice, Y Kawamura, J Kim, N Okada, I Kitahara, H Jang
Proceedings of the 28th International Symposium on Mine Planning and …, 2020
152020
Model scaling in smartphone gnss-aided photogrammetry for fragmentation size distribution estimation
ZPL Tungol, H Toriya, N Owada, I Kitahara, F Inagaki, M Saadat, HD Jang, ...
Minerals 11 (12), 1301, 2021
102021
A case study on tunnel blasting design evaluation considering blast damage zone
SS Kang, H Jang
Science and Technology of Energetic Materials 81 (4), 106-113, 2020
102020
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Artículos 1–20