| Novel approach to predicting blast-induced ground vibration using Gaussian process regression CK Arthur, VA Temeng, YY Ziggah Engineering with Computers 36 (1), 29-42, 2020 | 83 | 2020 |
| Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction CK Arthur, VA Temeng, YY Ziggah International journal of mining, reclamation and environment 34 (3), 198-222, 2020 | 66 | 2020 |
| A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network VA Temeng, YY Ziggah, CK Arthur International Journal of Mining Science and Technology 30 (5), 683-689, 2020 | 58 | 2020 |
| The future of mining in Ghana: Are stakeholders prepared for the adoption of autonomous mining systems? BA Kansake, FA Kaba, NK Dumakor-Dupey, CK Arthur Resources Policy 63, 101411, 2019 | 38 | 2019 |
| Performance evaluation of training algorithms in backpropagation neural network approach to blast-induced ground vibration prediction CK Arthur, VA Temeng, YY Ziggah Ghana Mining Journal 20 (1), 20-33, 2020 | 35 | 2020 |
| Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration CK Arthur, VA Temeng, YY Ziggah Journal of Sustainable Mining 18 (4), 287-296, 2019 | 23 | 2019 |
| A Self‑adaptive differential evolutionary extreme learning machine (SaDE‑ELM): a novel approach to blast‑induced ground vibration prediction CK Arthur, VA Temeng, YY Ziggah SN Applied Sciences, 2020 | 18 | 2020 |
| Prediction of blast-induced ground vibration at a limestone quarry: an artificial intelligence approach CK Arthur, RM Bhatawdekar, ET Mohamad, MMS Sabri, M Bohra, ... Applied Sciences 12 (18), 9189, 2022 | 11 | 2022 |
| Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana VA Temeng, CK Arthur, YY Ziggah Modeling Earth Systems and Environment 8 (1), 897-909, 2022 | 11 | 2022 |
| Blast-induced noise level prediction model based on brain inspired emotional neural network VA Temeng, YY Ziggah, CK Arthur Journal of Sustainable Mining 20, 2021 | 8 | 2021 |
| A new synergetic model of neighbourhood component analysis and artificial intelligence method for blast-induced noise prediction YY Ziggah, VA Temeng, CK Arthur Modeling Earth Systems and Environment 9 (3), 3483-3502, 2023 | 4 | 2023 |
| A hybrid paretosearch algorithm and goal attainment method for maximizing production and reducing blast-induced ground vibration: a blast design parameter selection approach CK Arthur, RB Kaunda Mining Technology 129 (3), 151-158, 2020 | 3 | 2020 |
| Predicting open-pit mine production using machine learning techniques FN Kumah, AK Saim, MN Oppong, CK Arthur Journal of Sustainable Mining 23 (2), 118-131, 2024 | | 2024 |
| Application of artificial intelligence in predicting blast-induced ground vibration CK Arthur, RM Bhatawdekar, VA Temeng, G Agyei, YY Ziggah Applications of Artificial Intelligence in Mining, Geotechnical and …, 2024 | | 2024 |
| Blast-induced ground vibration and air overpressure prediction using artificial intelligence techniques CK Arthur University of Mines and Technology, 2019 | | 2019 |
| PREPAREDNESS OF GHANAIAN MINE STAKEHOLDERS FOR THE ADOPTION OF AUTONOMOUS SURFACE MINING SYSTEMS BA Kansake, FA Kaba, NK Dumakor-Dupey, CK Arthur | | |
Yao Yevenyo Ziggah (PhD)Senior Lecturer, Geomatic Engineering, University of Mines and Technology在 umat.edu.gh 的电子邮件经过验证
