| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 459.22 KB | Microsoft Powerpoint XML |
Orientador(es)
Resumo(s)
Urban waste management constitutes a critical infrastructure challenge for modern cities. Traditional waste collection methodologies operate on fixed schedules regardless of actual container fill levels, resulting in inefficient resource allocation, unnecessary carbon emissions, and occasional overflow incidents. Additionally, the inability to detect hazardous materials creates environmental and safety risks, particularly with improperly disposed hot ash that can cause fires in waste containers. Smart sensors, artificial intelligence, and optimization algorithms offer a transformative approach to monitor waste conditions in real-time and provide actionable insights to stakeholders.
Descrição
Palavras-chave
Contexto Educativo
Citação
Izidorio, Felipe; Izidorio, Felipe; Igrejas, Getúlio; Rodrigues, Pedro João; Lopes, Rui Pedro (2025). VOC pattern recognition in waste using AI-Enabled BME688 sensors. In Symposium of applied Science for young Researchers. Bragança