Thomas, Georges, Valentin Avare
Use of Artificial Intelligence Techniques to Improve the User Experience With Waste Recycling.
Rel. Bartolomeo Montrucchio, Moreno La Quatra, Antonio Costantino Marceddu. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution. Download (1MB) | Preview |
Abstract
In the wake of escalating global environmental challenges, sustainable waste management practices have emerged as a major concern. The need for efficient recycling strategies has been evolving. Recycling has become more and more popular and adopted amongst most of people lives. The need to find easier and more attractive way to encourage people to recycle more and more accurately. In this context, recycling practices with state-of-the-art natural language processing technologies presents an opportunity to improve the way we approach waste management. For the past 10 years, the technological advancements in Deep Natural Language Processing (DNLP) have been a huge milestone in the field of artificial intelligence.
Since 2017, DNLP has progressed at rapid rate giving a leverage for a broader and more advanced applications
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
