{"id":65958,"date":"2025-03-10T14:15:02","date_gmt":"2025-03-10T13:15:02","guid":{"rendered":"https:\/\/www.he-arc.ch\/?post_type=he-arc_publication&p=65958"},"modified":"2025-03-10T14:20:13","modified_gmt":"2025-03-10T13:20:13","slug":"lustra-waste-type-prediction-through-sound-and-accelerometer-data","status":"publish","type":"he-arc_publication","link":"https:\/\/www.he-arc.ch\/en\/publications\/lustra-waste-type-prediction-through-sound-and-accelerometer-data\/","title":{"rendered":"LusTra: waste type prediction through sound and accelerometer data"},"content":{"rendered":"\n
By : Ludovic Pfeiffer, Gabriel Da Silva Marques, Florent Gl\u00fcck, Noria Foukia, Ma\u00efck Huguenin-Vuillemin<\/a>, Artan Sadiku, Nuria Pazos Escudero<\/a>, Olivier H\u00fcsser<\/a><\/p>\n\n\n\n In : 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI)<\/p>\n\n\n\n