2 papers
cs.CV2026
Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection
Mattia Forlesi, Alfonso Esposito, Ivan Zyrianoff +2
Cracks are a critical indicator of building health, and early stage identification is fundamental to prevent harmful damages. Advances in deep learning (DL), particularly convoluti…
cs.ET2024
ZONIA: a Zero-Trust Oracle System for Blockchain IoT Applications
Lorenzo Gigli, Ivan Zyrianoff, Federico Montori +3
The rapid expansion of the Internet of Things (IoT) has led to significant data reliability and system transparency challenges, aggravated by the centralized nature of existing IoT…