PATRUNO, COSIMO
PATRUNO, COSIMO
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.
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
Multimodal People Re-identification using 3D Skeleton, Depth and Color Information
2024 Patruno, Cosimo; Renò, Vito; Cicirelli, Grazia; D'Orazio, Tiziana
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.
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.
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.
Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges
2022 Cardellicchio A.; Ruggieri S.; Nettis A.; Patruno C.; Uva G.; Reno V.
Learning Analytics: Analysis of Methods for Online Assessment
2022 Reno, V.; Stella, E.; Patruno, C.; Capurso, A.; Dimauro, G.; Maglietta, R.
Optical encoder neural network: a CNN-based optical encoder for robot localization
2022 Patruno, C.; Renò, V.; Nitti, M.; Pernisco, G.; Mosca, N.
A robust method for 2D occupancy map building for indoor robot navigation
2021 Patruno C.; Reno V.; Mosca N.; Di Summa M.; Nitti M.
Post assembly quality inspection using multimodal sensing in aircraft manufacturing
2021 Mosca, N; Reno, V; Nitti, M; Patruno, C; Stella, E
Qualitative comparison of methodologies for detecting surface defects in aircraft interiors
2021 Mosca, N; Patruno, C; Reno, V; Nitti, M; Stella, E
3d stereo reconstruction of train paths for supporting maintenance operations
2020 Nitti, Massimiliano; Mosca, Nicola; Renò, Vito; Patruno, Cosimo; Di Summa, Maria; Colella, Roberto; Stella, Ettore
A RANSAC-based method for detecting post-assembly defects in aircraft interiors
2020 Mosca, Nicola; Patruno, Cosimo; Colella, Roberto; Negri, SIMONE PIO; Stella, Ettore
A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots
2020 Patruno, Cosimo; Colella, Roberto; Nitti, Massimiliano; Renò, Vito; Mosca, Nicola; Stella, Ettore
An effective approach for 3D point cloud registration in railway contexts
2019 Patruno, Cosimo; Colella, Roberto; Nitti, Massimiliano; Stella, Ettore
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 | |
Multimodal People Re-identification using 3D Skeleton, Depth and Color Information | 1-gen-2024 | Patruno, Cosimo; Renò, Vito; Cicirelli, Grazia; D'Orazio, Tiziana | |
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. | |
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. | |
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. | |
Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges | 1-gen-2022 | Cardellicchio A.; Ruggieri S.; Nettis A.; Patruno C.; Uva G.; Reno V. | |
Learning Analytics: Analysis of Methods for Online Assessment | 1-gen-2022 | Reno, V.; Stella, E.; Patruno, C.; Capurso, A.; Dimauro, G.; Maglietta, R. | |
Optical encoder neural network: a CNN-based optical encoder for robot localization | 1-gen-2022 | Patruno, C.; Renò, V.; Nitti, M.; Pernisco, G.; Mosca, N. | |
A robust method for 2D occupancy map building for indoor robot navigation | 1-gen-2021 | Patruno C.; Reno V.; Mosca N.; Di Summa M.; Nitti M. | |
Post assembly quality inspection using multimodal sensing in aircraft manufacturing | 1-gen-2021 | Mosca, N; Reno, V; Nitti, M; Patruno, C; Stella, E | |
Qualitative comparison of methodologies for detecting surface defects in aircraft interiors | 1-gen-2021 | Mosca, N; Patruno, C; Reno, V; Nitti, M; Stella, E | |
3d stereo reconstruction of train paths for supporting maintenance operations | 1-gen-2020 | Nitti, Massimiliano; Mosca, Nicola; Renò, Vito; Patruno, Cosimo; Di Summa, Maria; Colella, Roberto; Stella, Ettore | |
A RANSAC-based method for detecting post-assembly defects in aircraft interiors | 1-gen-2020 | Mosca, Nicola; Patruno, Cosimo; Colella, Roberto; Negri, SIMONE PIO; Stella, Ettore | |
A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots | 1-gen-2020 | Patruno, Cosimo; Colella, Roberto; Nitti, Massimiliano; Renò, Vito; Mosca, Nicola; Stella, Ettore | |
An effective approach for 3D point cloud registration in railway contexts | 1-gen-2019 | Patruno, Cosimo; Colella, Roberto; Nitti, Massimiliano; Stella, Ettore |