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PATRUNO, COSIMO

PATRUNO, COSIMO  

Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA) Sede Secondaria Bari  

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Risultati 1 - 20 di 54 (tempo di esecuzione: 0.033 secondi).
Titolo Data di pubblicazione Autore(i) File
Analysis of Input Data Configurations in CNN-based Human Action Recognition for Assembly Task In corso di stampa Patruno, Cosimo; Cicirelli, Grazia; Romeo, Laura; D'Orazio, Tiziana
Deep Learning Methods with Iterative-Boosting for performing Human Action Recognition in Manufacturing Scenarios In corso di stampa Romeo, Laura; Patruno, Cosimo; Cicirelli, Grazia; D'Orazio, Tiziana
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
Automated quality inspection of fastening screws for furniture using 3D computer vision and data analysis techniques 1-gen-2025 Patruno, Cosimo; Nitti, Massimiliano; Tagliaferri, Chiara; Mauri, Luca; Renò, Vito
High density polyurethane blocks handling with an AI-powered multimodal vision system on a custom compact omnidirectional mobile robot: a case study 1-gen-2025 Renò, Vito; Patruno, Cosimo; Cardellicchio, Angelo; Guaragnella, Giovanna; Pedrocchi, Nicola; Nitti, Massimiliano
Multi-View Skeleton Analysis for Human Action Segmentation Tasks 1-gen-2025 Romeo, L.; Patruno, C.; Cicirelli, G.; D'Orazio, T.
Skeleton-based human action recognition for manufacturing in assembly task by deep learning 1-gen-2025 Patruno, Cosimo; Romeo, Laura; Bono, Annaclaudia; D'Orazio, Tiziana; Cicirelli, Grazia
Transformer Decoder Learns from a Pretrained Protein Language Model to Generate Ligands with High Affinity 1-gen-2025 Creanza, T. M.; Alberga, D.; Patruno, C.; Mangiatordi, G. F.; Ancona, N.
Transformer-based Human Action Recognition for Fine-Grained Industrial Assembly Tasks 1-gen-2025 Gallón, Mayra Vanessa Alvear; Patruno, Cosimo; Mata, Gadea; Domínguez, César; Cicirelli, Grazia
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
Exploring the Microcosm: Immersive Tomographic Analysis of Specimens 1-gen-2024 Mosca, N.; Di Summa, M.; Rafik, M.; Bianco, V.; Patruno, C.; Stella, E.
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
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.
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.