TSUTSUMIUCHI, VICTOR K.2025-01-292025-01-29TSUTSUMIUCHI, VICTOR K. Radionuclide dispersion from waste piles: a predictive modeling approach using simulations and Recurrent Neural Networks. In: WASTE MANAGEMENT SYMPOSIUM, March 10-14, 2024, Phoenix, AZ, USA. <b>Abstract...</b> Tempe, AZ, USA: WM Symposia, 2024. DisponÃvel em: https://repositorio.ipen.br/handle/123456789/48930.https://repositorio.ipen.br/handle/123456789/48930This project aims to understand radionuclide dispersion in mining, emphasizing safety. Minerals in various industries often contain radionuclides, elevating dispersion risks. Wind plays a key role, potentially contaminating nearby areas. We utilize advanced predictive models, particularly Recurrent Neural Networks, to grasp dispersion patterns. These insights guide safety protocols and responsible decision-making. Our focus is on integrating safety measures and promoting sustainable mining practices, effectively mitigating dispersion risks.openAccessRadionuclide dispersion from waste pilesResumo de eventos cientÃficos