Výsledky vyhledávání

Analytical Model Approximation for Defect Classification in Fiberglass Composites Inspected by Stepped Thermography

Autor: R. Marani, D. Palumbo, G. Bono, G. Cicirelli, U. Galietti, T. D'Orazio

Publikováno v: IEEE International Conference on Industrial Technology (ICIT2020), Buenos Aires, Argentina, 26-26/02/2020
info:cnr-pdr/source/autori:R. Marani, D. Palumbo, G. Bono, G. Cicirelli, U. Galietti, T. D'Orazio/congresso_nome:IEEE International Conference on Industrial Technology (ICIT2020)/congresso_luogo:Buenos Aires, Argentina/congresso_data:26-26%2F02%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine

This paper presents a complete pipeline for automatic detection and classification of defects within composite laminates inspected by active IR thermography. Specifically, stepped thermography is proposed for non-destructive evaluation of samples mad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::b758358161839df4d7126096940fefa7
https://publications.cnr.it/doc/416101

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Disparity Image Analysis for 3D Characterization of Surface Anomalies

Autor: R. Marani, A. Petitti, G. Cicirelli, A. Milella, T. D'Orazio

Publikováno v: 20th International Conference on Image Analysis and Processing, Trento, 09-13 Settembre 2019
info:cnr-pdr/source/autori:R. Marani, A. Petitti, G. Cicirelli, A. Milella, and T. D'Orazio/congresso_nome:20th International Conference on Image Analysis and Processing/congresso_luogo:Trento/congresso_data:09-13 Settembre 2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

The detection of internal defects in composite materials, due to anomalies during the production processes, is a big issue especially for the production of large structures in aeronautic contexts. The costs of the repair processes can weigh upon the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::defdfac161c561bd31e28842808864cd
http://www.cnr.it/prodotto/i/406792

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An integrated system of low-cost cameras for monitoring neuro-degenerative diseases

Autor: G. Cicirelli, R. Marani, A. Petitti, Annalisa M., T. D'Orazio, D. Impedovo

Publikováno v: Prima Conferenza Nazionale di Robotica e Macchine Intelligenti (I-RIM 2019), Roma, 18-20 Ottobre 2019
info:cnr-pdr/source/autori:G. Cicirelli, R. Marani, A. Petitti, Annalisa M., T. D'Orazio, D. Impedovo/congresso_nome:Prima Conferenza Nazionale di Robotica e Macchine Intelligenti (I-RIM 2019)/congresso_luogo:Roma/congresso_data:18-20 Ottobre 2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

This paper presents the latest outcomes proposed by the authors within the context of an industrial research project aimed to the analysis of behaviors of individuals suffering from neurodegenerative diseases. It presents the experimental setup used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::5187e0a72b274aa0c03d9d81c87518bd
http://www.cnr.it/prodotto/i/406791

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BESIDE -BEhavioral integrated System for diagnosis, support and monItoring of neuro-Degenerative diseasEs

Autor: N. Lorusso, L. Cocola, A. Proscia, M.T. Angelillo, A. Caldarola, S. di Lillo, F. Mastroianni, V. Zullo, G. Saracino, D. Pignatale, L. D'Errico, D. Impedovo, G. Pirlo, V. Dentamaro, G. Cicirelli, T. D'Orazio

Publikováno v: Ital-IA: Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, 18-19 Marzo 2019
info:cnr-pdr/source/autori:N. Lorusso, L. Cocola, A. Proscia, M.T. Angelillo, A. Caldarola, S. di Lillo, F. Mastroianni, V. Zullo, G. Saracino, D. Pignatale, L. D'Errico, D. Impedovo, G. Pirlo, V. Dentamaro, G. Cicirelli, T. D'Orazio/congresso_nome:Ital-IA: Convegno Nazionale CINI sull'Intelligenza Artificiale/congresso_luogo:Roma/congresso_data:18-19 Marzo 2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

Il progetto di ricerca industriale e sviluppo speri-mentale denominato BESIDE intende applicare tec-niche di intelligenza artificiale per l'analisi di pat-tern motori (Gait Analysis) e comportamentali di in-dividui affetti da malattie neurodegenerati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::1cbacb39a4fad3ec7576c3938a5aa89d
https://publications.cnr.it/doc/406789

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Akademický článek

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Gesture Recognition by Using Depth Data: Comparison of Different Methodologies

Autor: G. Cicirelli, T. D'Orazio

Publikováno v: Motion Tracking and Gesture Recognition, pp. 119–141, 2017
info:cnr-pdr/source/autori:G. Cicirelli, T. D'Orazio/titolo:Gesture Recognition by Using Depth Data: Comparison of Different Methodologies/titolo_volume:Motion Tracking and Gesture Recognition/curatori_volume:/editore:/anno:2017

In this chapter, the problem of gesture recognition in the context of human computer interaction is considered. Several classifiers based on different approaches such as neural network (NN), support vector machine (SVM), hidden Markov model (HMM), de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::19bd97f78c88fc26d7a388dfee82aa28
https://www.intechopen.com/books/motion-tracking-and-gesture-recognition/gesture-recognition-by-using-depth-data-comparison-of-different-methodologies

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