Gestión Segura y Sostenible de Recursos Minerales
GESSMin
Instituto Politécnico de Castelo Branco
Castelo Branco, PortugalPublicaciones en colaboración con investigadores/as de Instituto Politécnico de Castelo Branco (12)
2024
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Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making
Mathematical Geosciences, Vol. 56, Núm. 3, pp. 465-485
2021
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Future habitat suitability for species under climate change – Lessons learned from the strawberry tree case study
Forest Ecology and Management, Vol. 491
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Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach
Spatial Statistics, Vol. 42
2020
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Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas
Mathematical Geosciences, Vol. 52, Núm. 3, pp. 381-396
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Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study
Journal of Geochemical Exploration, Vol. 208
2019
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Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering
Reliability Engineering and System Safety, Vol. 188, pp. 195-204
2017
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AQUIFER VULNERABILITY MAPPING AND ASSOCIATED SPATIAL UNCERTAINTY
AGROLIFE SCIENTIFIC JOURNAL, Vol. 6, Núm. 1, pp. 9-13
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Developing a new Bayesian Risk Index for risk evaluation of soil contamination
Science of the Total Environment, Vol. 603-604, pp. 167-177
2015
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Neural networks applied to discriminate botanical origin of honeys
Food Chemistry, Vol. 175, pp. 128-136
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Prediction of mechanical strength of cork under compression using machine learning techniques
Materials and Design, Vol. 82, pp. 304-311
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Prediction of tension properties of cork from its physical properties using neural networks
European Journal of Wood and Wood Products, Vol. 73, Núm. 3, pp. 347-356
2013
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SESGAL software for managing earthquake risk in Galicia
ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies