4 papers
Enhanced Water Leak Detection with Convolutional Neural Networks and One-Class Support Vector Machine
Daniele Ugo Leonzio, Paolo Bestagini, Marco Marcon +1
Water is a critical resource that must be managed efficiently. However, a substantial amount of water is lost each year due to leaks in Water Distribution Networks (WDNs). This und…
Super-Resolution of BVOC Emission Maps Via Domain Adaptation
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Enhancing the resolution of Biogenic Volatile Organic Compound (BVOC) emission maps is a critical task in remote sensing. Recently, some Super-Resolution (SR) methods based on Deep…
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Biogenic Volatile Organic Compounds (BVOCs) emitted from the terrestrial ecosystem into the Earth's atmosphere are an important component of atmospheric chemistry. Due to the scarc…
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Antonio Giganti, Sara Mandelli, Paolo Bestagini +2
Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere…