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
Aphrophoridae Foam Detection using YOLOv11 for Sustainable Management of Xylella Fastidiosa Vectors
2025 Cardellicchio, Angelo; Elia, Michele; Rana, Arianna; Petitti, Antonio; Paciolla, Francesco; Pascuzzi, Simone; Reno', Vito; Milella, Annalisa
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.
Incremental Learning with Domain Adaption for Tomato Plant Phenotyping
2025 Cardellicchio, Angelo; Renò, Vito; Cellini, Francesco; Summerer, Stephan; Petrozza, Angelo; Milella, Annalisa
Using Attention for Improving Defect Detection in Existing RC Bridges
2025 Ruggieri, S.; Cardellicchio, A.; Nettis, A.; Reno', V.; Uva, G.
A new methodology to automatically detect cracks in existing RC bridges
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
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
2024 Di Summa, M.; Cardellicchio, A.; Mosca, N.; Ferraro, P.; Bianco, V.; Stella, E.
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
Automatic Tomato Seedling Segmentation for Genotypic Assessment via Gaussian Mixture Models
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
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
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
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
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
Assessing Switch Weld Quality with 3D Sensing and Machine Learning
2023 Patruno, C.; Nitti, M.; Cardellicchio, A.; Mosca, N.; Di Summa, M.; Reno', V.
| 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 | |
| Aphrophoridae Foam Detection using YOLOv11 for Sustainable Management of Xylella Fastidiosa Vectors | 1-gen-2025 | Cardellicchio, Angelo; Elia, Michele; Rana, Arianna; Petitti, Antonio; Paciolla, Francesco; Pascuzzi, Simone; Reno', Vito; Milella, Annalisa | |
| 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. | |
| Incremental Learning with Domain Adaption for Tomato Plant Phenotyping | 1-gen-2025 | Cardellicchio, Angelo; Renò, Vito; Cellini, Francesco; Summerer, Stephan; Petrozza, Angelo; Milella, Annalisa | |
| 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 | |
| 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 | |
| Assessing Switch Weld Quality with 3D Sensing and Machine Learning | 1-gen-2023 | Patruno, C.; Nitti, M.; Cardellicchio, A.; Mosca, N.; Di Summa, M.; Reno', V. |