Confounding factors-aware hierarchical deep learning for sustainable edge wildfire detection

Authors: El Madafri, Ismail

Contributors: University/Department: Universitat Politècnica de Catalunya. Institut Universitari de Recerca en Ciència i Tecnologies de la Sostenibilitat

Thesis Advisors: Peña Carrera, Marta, Olmedo Torre, Noelia

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: wildfire detection, deep learning, confounding elements, multi-task learning, knowledge distillation, hierarchical learning, domain adaptation, edge devices, sustainable AI, environmental monitoring., detecció d'incendis forestals, aprenentatge profund, elements confusos, aprenentatge multitarea, destil·lació de coneixement, aprenentatge jeràrquic, adaptació al domini, dispositius edge, IA sostenible, monitoratge ambiental, detección de incendios forestales, aprendizaje profundo, elementos confusos, aprendizaje multitarea, destilación de conocimiento, aprendizaje jerárquico, adaptación al dominio, dispositivos edge, monitoreo ambiental., Àrees temàtiques de la UPC::Desenvolupament humà i sostenible, 502 - Natura. Estudi, conservació i protecció de la natura, 630 - Silvicultura. Arboricultura

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Access URL: http://hdl.handle.net/10803/695130
https://dx.doi.org/10.5821/dissertation-2117-440594

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