RENO', VITO
RENO', VITO
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
A Wavelet-Based Method for Defect Detection in Aircraft Components by Using Ultrasonic Technology
2024 Patruno, C.; Liso, A.; Reno', Vito; Vespini, V.; Coppola, S.; Ferraro, Pietro; Gallo, N.; Del Prete, G.; Dentico, V.; Chirico, D.; Stella, E.
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
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.
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.
Scarfingtool: an advanced tool to repair carbon fiber reinforced plastic
2024 Negri, SIMONE PIO; Nitti, Massimiliano; Mosca, Nicola; Renò, Vito; Stella, Ettore
Vision-based omnidirectional indoor robots for autonomous navigation and localization in manufacturing industry
2024 Patruno, Cosimo; Renò, Vito; Nitti, Massimiliano; Mosca, Nicola; di Summa, Maria; Stella, Ettore
A Review on Deep Learning Techniques for Railway Infrastructure Monitoring
2023 Di Summa, M.; Griseta, M. E.; Mosca, N.; Patruno, C.; Nitti, M.; Renò, V.; Stella, E.
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.
AWANDT: Assessing Welding Anomalies via Non-Destructive Tests
2023 Liso, A.; Cardellicchio, A.; Patruno, C.; Nitti, M.; Stella, E.; Reno', V.
Better virtual objects placement in real world through photogrammetry for object recognition and spatial anchoring
2023 Di Summa, M.; Griseta, M.; Patruno, C.; Vigano, G. P.; Renò, V.; Mosca, N.
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
On the use of YOLOv5 for detecting common defects on existing RC bridges
2023 Cardellicchio, A.; Ruggieri, S.; Nettis, A.; Mosca, N.; Uva, G.; Reno', V.
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
Special Issue on Intelligent Systems Applications to Multiple Domains Based on Innovative Signal and Image Processing
2023 Reno, V.; Maglietta, R.; Dimauro, G.
Tomato detection in challenging scenarios using YOLO-based single stage detectors
2023 Cardellicchio, A.; Reno', V.; Devanna, R. P.; Marani, R.; Milella, A.
An accurate hardware calibration and 3D point cloud stitching towards automatic quality control in aerospace manufacturing
2022 Dibari, P.; Nitti, M.; Patruno, C.; Pernisco, G.; Di Summa, M.; Mosca, N.; Renò, V.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 | |
| A Wavelet-Based Method for Defect Detection in Aircraft Components by Using Ultrasonic Technology | 1-gen-2024 | Patruno, C.; Liso, A.; Reno', Vito; Vespini, V.; Coppola, S.; Ferraro, Pietro; Gallo, N.; Del Prete, G.; Dentico, V.; Chirico, D.; Stella, E. | |
| 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 | |
| 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. | |
| 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. | |
| Scarfingtool: an advanced tool to repair carbon fiber reinforced plastic | 1-gen-2024 | Negri, SIMONE PIO; Nitti, Massimiliano; Mosca, Nicola; Renò, Vito; Stella, Ettore | |
| Vision-based omnidirectional indoor robots for autonomous navigation and localization in manufacturing industry | 1-gen-2024 | Patruno, Cosimo; Renò, Vito; Nitti, Massimiliano; Mosca, Nicola; di Summa, Maria; Stella, Ettore | |
| A Review on Deep Learning Techniques for Railway Infrastructure Monitoring | 1-gen-2023 | Di Summa, M.; Griseta, M. E.; Mosca, N.; Patruno, C.; Nitti, M.; Renò, V.; Stella, E. | |
| 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. | |
| AWANDT: Assessing Welding Anomalies via Non-Destructive Tests | 1-gen-2023 | Liso, A.; Cardellicchio, A.; Patruno, C.; Nitti, M.; Stella, E.; Reno', V. | |
| Better virtual objects placement in real world through photogrammetry for object recognition and spatial anchoring | 1-gen-2023 | Di Summa, M.; Griseta, M.; Patruno, C.; Vigano, G. P.; Renò, V.; Mosca, N. | |
| 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 | |
| On the use of YOLOv5 for detecting common defects on existing RC bridges | 1-gen-2023 | Cardellicchio, A.; Ruggieri, S.; Nettis, A.; Mosca, N.; Uva, G.; Reno', V. | |
| 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 | |
| Special Issue on Intelligent Systems Applications to Multiple Domains Based on Innovative Signal and Image Processing | 1-gen-2023 | Reno, V.; Maglietta, R.; Dimauro, G. | |
| Tomato detection in challenging scenarios using YOLO-based single stage detectors | 1-gen-2023 | Cardellicchio, A.; Reno', V.; Devanna, R. P.; Marani, R.; Milella, A. | |
| An accurate hardware calibration and 3D point cloud stitching towards automatic quality control in aerospace manufacturing | 1-gen-2022 | Dibari, P.; Nitti, M.; Patruno, C.; Pernisco, G.; Di Summa, M.; Mosca, N.; Renò, V. |