RENO', VITO
RENO', VITO
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA) Sede Secondaria Bari
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.
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
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.
Multimodal People Re-identification using 3D Skeleton, Depth and Color Information
2024 Patruno, Cosimo; Renò, Vito; Cicirelli, Grazia; D'Orazio, Tiziana
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
VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view
2024 Mosca, Nicola; Renò, Vito; Nitti, Massimiliano; Patruno, Cosimo; Negri, Simone Pio; 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
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. | |
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 | |
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. | |
Multimodal People Re-identification using 3D Skeleton, Depth and Color Information | 1-gen-2024 | Patruno, Cosimo; Renò, Vito; Cicirelli, Grazia; D'Orazio, Tiziana | |
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 | |
VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view | 1-gen-2024 | Mosca, Nicola; Renò, Vito; Nitti, Massimiliano; Patruno, Cosimo; Negri, Simone Pio; 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 |