CARDELLICCHIO, ANGELO
CARDELLICCHIO, ANGELO
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA) Sede Secondaria Bari
A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data
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
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
2025 Cardellicchio, A.; Reno', V.; Guadagno, C. R.; Cellini, F.; Amitrano, C.
Incremental Learning with Domain Adaption for Tomato Plant Phenotyping
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
2025 Vadukkal, U. K. V.; Cardellicchio, A.; Nitti, M.; Fiume, M.; Reno', V.
Using Attention for Improving Defect Detection in Existing RC Bridges
2025 Ruggieri, S.; Cardellicchio, A.; 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
2024 Liso, Adriano; Cardellicchio, Angelo; Patruno, Cosimo; Nitti, Massimiliano; Ardino, Pierfrancesco; Stella, Ettore; Renò, Vito
Artificial intelligence in structural health management of existing bridges
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
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
2024 Cardellicchio, A.; Nitti, M.; Patruno, C.; Mosca, N.; di Summa, M.; Stella, E.; Reno', V
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity
2024 Solimani, Firozeh; Cardellicchio, Angelo; Dimauro, Giovanni; Petrozza, Angelo; Summerer, Stephan; Cellini, Francesco; Renò, Vito
Patch-based probabilistic identification of plant roots using convolutional neural networks
2024 Cardellicchio, A.; Solimani, F.; Dimauro, G.; Summerer, S.; Reno', V.
A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping
2023 Solimani, Firozeh; Cardellicchio, Angelo; Nitti, Massimiliano; Lako, Alfred; Dimauro, Giovanni; Renò, Vito
AI-assisted image analysis and physiological validation for progressive drought detection in a diverse panel of Gossypium hirsutum L
2023 Renó, Vito; Cardellicchio, Angelo; Romanjenko, Benjamin Conrad; Guadagno, Carmela Rosaria
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
2023 Cardellicchio, Angelo; Solimani, Firozeh; Dimauro, Giovanni; Petrozza, Angelo; Summerer, Stephan; Cellini, Francesco; Renò, Vito
Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
2023 Cardellicchio, Angelo; Ruggieri, Sergio; Nettis, Andrea; Renò, Vito; Uva, Giuseppina
Analytical-mechanical based framework for seismic overall fragility analysis of existing RC buildings in town compartments
2022 Ruggieri, S; Calo, M; Cardellicchio, A; Uva, G
View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings
2022 Cardellicchio; Angelo;Ruggieri; Sergio;Leggieri; Valeria;Uva; Giuseppina
Machine-learning based vulnerability analysis of existing buildings
2021 Ruggieri, S; Cardellicchio, A; Leggieri, V; Uva, G
Data on long-term monitoring programs to assess environmental pressures on coastal area
2019 Mali M.; Ungaro N.; Cardellicchio A.; Dell'Anna M.M.; Romanazzi G.; Mastrorilli P.; Damiani L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| 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. | |
| Using Attention for Improving Defect Detection in Existing RC Bridges | 1-gen-2025 | Ruggieri, S.; Cardellicchio, A.; 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 | |
| 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 | |
| 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 | |
| Patch-based probabilistic identification of plant roots using convolutional neural networks | 1-gen-2024 | Cardellicchio, A.; Solimani, F.; Dimauro, G.; Summerer, S.; Reno', V. | |
| A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping | 1-gen-2023 | Solimani, Firozeh; Cardellicchio, Angelo; Nitti, Massimiliano; Lako, Alfred; Dimauro, Giovanni; Renò, Vito | |
| AI-assisted image analysis and physiological validation for progressive drought detection in a diverse panel of Gossypium hirsutum L | 1-gen-2023 | Renó, Vito; Cardellicchio, Angelo; Romanjenko, Benjamin Conrad; Guadagno, Carmela Rosaria | |
| Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors | 1-gen-2023 | Cardellicchio, Angelo; Solimani, Firozeh; Dimauro, Giovanni; Petrozza, Angelo; Summerer, Stephan; Cellini, Francesco; Renò, Vito | |
| Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage | 1-gen-2023 | Cardellicchio, Angelo; Ruggieri, Sergio; Nettis, Andrea; Renò, Vito; Uva, Giuseppina | |
| Analytical-mechanical based framework for seismic overall fragility analysis of existing RC buildings in town compartments | 1-gen-2022 | Ruggieri, S; Calo, M; Cardellicchio, A; Uva, G | |
| View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings | 1-gen-2022 | Cardellicchio; Angelo;Ruggieri; Sergio;Leggieri; Valeria;Uva; Giuseppina | |
| Machine-learning based vulnerability analysis of existing buildings | 1-gen-2021 | Ruggieri, S; Cardellicchio, A; Leggieri, V; Uva, G | |
| Data on long-term monitoring programs to assess environmental pressures on coastal area | 1-gen-2019 | Mali M.; Ungaro N.; Cardellicchio A.; Dell'Anna M.M.; Romanazzi G.; Mastrorilli P.; Damiani L. |