CNR Institutional Research Information System

CARDELLICCHIO, ANGELO

CARDELLICCHIO, ANGELO  

Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA) Sede Secondaria Bari  

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Risultati 1 - 20 di 52 (tempo di esecuzione: 0.039 secondi).
Titolo Data di pubblicazione Autore(i) File
Aphrophoridae Foam Detection using YOLOv11 for Sustainable Management of Xylella Fastidiosa Vectors In corso di stampa Cardellicchio, Angelo; Elia, Michele; Rana, Arianna; Petitti, Antonio; Paciolla, Francesco; Pascuzzi, Simone; Reno', Vito; Milella, Annalisa
A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data 1-gen-2025 Liso, Adriano; Patruno, Cosimo; Cardellicchio, Angelo; Ardino, Pierfrancesco; Gallo, Nicola; Del Prete, Giuseppe; Dentico, Valerio; Vespini, Veronica; Coppola, Sara; Ferraro, Pietro; Renò, Vito
Computer vision-based seismic assessment of RC simply supported bridges characterized by corroded circular piers 1-gen-2025 Di Mucci, V. M.; Cardellicchio, A.; Ruggieri, S.; Nettis, A.; Reno', V.; Uva, G.
Editorial: Agricultural innovation in the age of climate change: a 4.0 approach 1-gen-2025 Cardellicchio, A.; Reno', V.; Guadagno, C. R.; Cellini, F.; Amitrano, C.
High density polyurethane blocks handling with an AI-powered multimodal vision system on a custom compact omnidirectional mobile robot: a case study 1-gen-2025 Renò, Vito; Patruno, Cosimo; Cardellicchio, Angelo; Guaragnella, Giovanna; Pedrocchi, Nicola; Nitti, Massimiliano
Incremental Learning with Domain Adaption for Tomato Plant Phenotyping 1-gen-2025 Cardellicchio, Angelo; Renò, Vito; Cellini, Francesco; Summerer, Stephan; Petrozza, Angelo; Milella, Annalisa
Recent Advances and Innovative Approaches to Railway Safety based on Applications, Sensors and Algorithms: A Systematic Review 1-gen-2025 Vadukkal, U. K. V.; Cardellicchio, A.; Nitti, M.; Fiume, M.; Reno', V.
Unsupervised learning techniques for finding missing bolts in railways combining 3D data, deep learning, and weighted content loss 1-gen-2025 Vadakkum Vadukkal, Udith Krishnan; Cardellicchio, Angelo; Mosca, Nicola; Di Summa, Maria; Nitti, Massimiliano; Renò, Vito
Using Attention for Improving Defect Detection in Existing RC Bridges 1-gen-2025 Ruggieri, S.; Cardellicchio, A.; Nettis, A.; Reno', V.; Uva, G.
A new methodology to automatically detect cracks in existing RC bridges 1-gen-2024 Di Mucci, V. M.; Cardellicchio, A.; Ruggieri, S.; Nettis, A.; Reno', V.; Uva, G.
A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms 1-gen-2024 Liso, Adriano; Cardellicchio, Angelo; Patruno, Cosimo; Nitti, Massimiliano; Ardino, Pierfrancesco; Stella, Ettore; Renò, Vito
An integrated virtual system for monitoring operations on the railway 1-gen-2024 Di Summa, M.; Cardellicchio, A.; Mosca, N.; Ferraro, P.; Bianco, V.; Stella, E.
Artificial intelligence in structural health management of existing bridges 1-gen-2024 Di Mucci, V. M.; Cardellicchio, A.; Ruggieri, S.; Nettis, A.; Renò, V.; Uva, G.
Automatic detection of typical defects in reinforced concrete bridges via YOLOv5 1-gen-2024 Ruggieri, S.; Cardellicchio, A.; Nettis, A.; Renò, V.; Uva, G.
Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence 1-gen-2024 Cardellicchio, A.; Nitti, M.; Patruno, C.; Mosca, N.; di Summa, M.; Stella, E.; Reno', V
Automatic Tomato Seedling Segmentation for Genotypic Assessment via Gaussian Mixture Models 1-gen-2024 Nitti, M.; Cardellicchio, A.; Cellini, F.; Petrozza, A.; Summerer, S.; Carriero, F.; Reno', V.
Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging 1-gen-2024 Vadukkal, U. K. V.; Cardellicchio, A.; Mosca, N.; Di Summa, M.; Nitti, M.; Stella, E.; Reno', V.
Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations 1-gen-2024 Solimani, F.; Cardellicchio, A.; Dimauro, G.; Mininni, A.; Calabritto, M.; Di Biase, R.; Petrozza, A.; Summerer, S.; Cellini, F.; Reno, V.
Integrating Deep Learning Based Anomaly Detection with Extended Reality: A Case Study on Extensive Railways Monitoring 1-gen-2024 Di Summa, M.; Cardellicchio, A.; Mosca, N.; Ricci, M.; Renò, V.; Vadukkal, U. K. V.; Stella, E.
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity 1-gen-2024 Solimani, Firozeh; Cardellicchio, Angelo; Dimauro, Giovanni; Petrozza, Angelo; Summerer, Stephan; Cellini, Francesco; Renò, Vito