Long short-term memory artificial neural network approach to forecast meteorology and PM2.5 local variables in Bogotá, Colombia

Autor: Nathalia Celis, Caroline Mogollón-Sotelo, Camilo Ferro, Martha Merchán, Alejandro Casallas, Fredy Alejandro Guevara-Luna, Marco Andrés Guevara-Luna

Publikováno v: Modeling Earth Systems and Environment. 8:2951-2964

In places with complex topography, the reproduction of atmospheric dynamics is challenging and resource demanding. Recently, machine learning has been successfully implemented to forecast pollution and weather variables. LSTM (long short-term memory)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cf5adb3fb65684e853588d57113da33
https://doi.org/10.1007/s40808-021-01274-6

Photostability and photobactericidal properties of porphyrin-layered double hydroxide–polyurethane composite films

Autor: Fabrice Leroux, Christian Coelho, Tan-Sothea Ouk, Pavel Kubát, Vincent Sol, Kamil Lang, Sophie Commereuc, Christine Taviot-Guého, Vincent Verney, Martha Merchán

Publikováno v: Journal of Materials Chemistry
Journal of Materials Chemistry, Royal Society of Chemistry, 2013, 1 (16), pp.2139-2146. ⟨10.1039/c3tb20070a⟩
Journal of Materials Chemistry, 2013, 1 (16), pp.2139-2146. ⟨10.1039/c3tb20070a⟩

International audience; The photostability and photobactericidal properties of PdTPPC (Pd(ii)-5,10,15,20-tetrakis(4-carboxyphenyl)porphyrin)-Zn2Al/PU (polyurethane) composite films have been studied in order to investigate their applicability as new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d75a95583062724bd3e14ea2a8827ec6
https://doi.org/10.1039/c3tb20070a