| Categorization of mineral resources based on different geostatistical simulation algorithms: A case study from an iron ore deposit N Battalgazy, N Madani Natural Resources Research 28, 1329-1351, 2019 | 44 | 2019 |
| Stochastic modeling of chemical compounds in a limestone deposit by unlocking the complexity in bivariate relationships N Battalgazy, N Madani Minerals 9 (11), 683, 2019 | 9 | 2019 |
| Addressing Geological Challenges in Mineral Resource Estimation: A Comparative Study of Deep Learning and Traditional Techniques N Battalgazy, R Valenta, P Gow, C Spier, G Forbes Minerals 13 (7), 982, 2023 | 1 | 2023 |
| Exploring deep learning in resource estimation N Battalgazy, R Valenta, P Gow, C Spier, G Forbes International Mining Geology Conference 2024, 371-378, 2024 | | 2024 |
| Unleashing the Power of AI in Resource Estimation N Battalgazy, R Valenta, P Gow, C Spier, G Forbes International Symposium on Earth Science and Technology 2023, 2023 | | 2023 |
| Application of Machine Learning and Deep Learning in Resource Estimation Nurassyl Battalgazy, Rick Valenta, Paul Gow, Carlos Spier, Gordon Forbes World Mining Congress, Artificial Intelligence, 2023 | | 2023 |
| Application of Machine Learning and Deep Learning in Resource Estimation N Battalgazy, R Valenta | | 2022 |
| Novel Methods and Applications for Mineral Exploration P Alexandre MDPI, 2020 | | 2020 |
| Uncertainty quantification of rock quality designation at the Gazestan phosphate deposit N Madani, S Yagiz, AC Adoko, N Battalgazy Geometallurgy Conference 2018:, Back to the Future Cape Town:,(6-8 August …, 2018 | | 2018 |
Nasser MadaniAssociate Professor, School of Mining and Geosciences, Nazarbayev University在 nu.edu.kz 的电子邮件经过验证
