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.AI2026
Say the Mission, Execute the Swarm: Agent-Enhanced LLM Reasoning in the Web-of-Drones
Andrea Iannoli, Lorenzo Gigli, Luca Sciullo +2
Large Language Models (LLMs) are increasingly explored as high-level reasoning engines for cyber-physical systems, yet their application to real-time UAV swarm management remains c…