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 | 156 | 2016 |
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 | 138 | 2013 |
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 | 127 | 2015 |
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 | 102 | 2014 |
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 | 98 | 2018 |
A review of soft computing technology applications in several mining problems H Jang, E Topal Applied Soft Computing 22, 638-651, 2014 | 98 | 2014 |
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 | 68 | 2015 |
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 | 65 | 2016 |
Transformation of the Australian mining industry and future prospects H Jang, E Topal Mining Technology 129 (3), 120-134, 2020 | 48 | 2020 |
An empirical approach of overbreak resistance factor for tunnel blasting H Jang, Y Kawamura, U Shinji Tunnelling and Underground Space Technology 92, 103060, 2019 | 35 | 2019 |
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 | 33 | 2018 |
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 | 32 | 2015 |
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 | 31 | 2020 |
Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network HD Jang Curtin University, 2014 | 24 | 2014 |
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 | 21 | 2016 |
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 | 20 | 2020 |
Review of machine learning application in mine blasting A Abd Elwahab, E Topal, HD Jang Arabian Journal of Geosciences 16 (2), 133, 2023 | 17 | 2023 |
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 | 15 | 2020 |
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 | 10 | 2021 |
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 | 10 | 2020 |