Výsledky vyhledávání - "Alessandro Betti"

Akademický článek

YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery

Publikováno v: Sensors, Vol 23, Iss 4, p 1865 (2023)

Small target detection is still a challenging task, especially when looking at fast and accurate solutions for mobile or edge applications. In this work, we present YOLO-S, a simple, fast, and efficient network. It exploits a small feature extractor,

Externí odkaz: https://doaj.org/article/5af83d9276e64579b96e0ae6e7351aac

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Akademický článek

Visual Features and Their Own Optical Flow

Autor: Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori, Stefano Melacci

Publikováno v: Frontiers in Artificial Intelligence, Vol 4 (2021)

Symmetries, invariances and conservation equations have always been an invaluable guide in Science to model natural phenomena through simple yet effective relations. For instance, in computer vision, translation equivariance is typically a built-in p

Externí odkaz: https://doaj.org/article/43f817fbb0154a44b9ec3352a84b2bd1

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Akademický článek

Large-N ℂℙN−1 $$ \mathbb{C}{\mathrm{\mathbb{P}}}^{\mathrm{N}-1} $$ sigma model on a finite interval and the renormalized string energy

Autor: Alessandro Betti, Stefano Bolognesi, Sven Bjarke Gudnason, Kenichi Konishi, Keisuke Ohashi

Publikováno v: Journal of High Energy Physics, Vol 2018, Iss 1, Pp 1-28 (2018)

Abstract We continue the analysis started in a recent paper of the large-N two-dimensional ℂℙN−1 $$ \mathbb{C}{\mathrm{\mathbb{P}}}^{N-1} $$ sigma model, defined on a finite space interval L with Dirichlet (or Neumann) boundary conditions. Here

Externí odkaz: https://doaj.org/article/d8a52f137a3a4162b158af6e81c73a0a

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Akademický článek

Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps

Autor: Alessandro Betti, Mauro Tucci, Emanuele Crisostomi, Antonio Piazzi, Sami Barmada, Dimitri Thomopulos

Publikováno v: Sensors, Vol 21, Iss 5, p 1687 (2021)

In this paper, a novel and flexible solution for fault prediction based on data collected from Supervisory Control and Data Acquisition (SCADA) system is presented. Generic fault/status prediction is offered by means of a data driven approach based o

Externí odkaz: https://doaj.org/article/6afb082576d3425c91e3dc21b64d5ca3

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A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle

Autor: Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli, Benedetto Michelozzi

Publikováno v: Renewable Energy. 193:941-962

As solar capacity installed worldwide continues to grow, there is an increasing awareness that advanced inspection systems are becoming of utmost importance to schedule smart interventions and minimize downtime likelihood. In this work we propose a n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5166886918f5c42bf16f6335b91d523
https://doi.org/10.1016/j.renene.2022.04.046

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Condition monitoring and predictive maintenance methodologies for hydropower plants equipment

Autor: Emanuele Crisostomi, Gianluca Paolinelli, Fabrizio Ruffini, Mauro Tucci, Alessandro Betti, Antonio Piazzi

Publikováno v: Renewable Energy. 171:246-253

Hydropower plants are one of the most convenient option for power generation, as they generate energy exploiting a renewable source, they have relatively low operating and maintenance costs, and they may be used to provide ancillary services, exploit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3077f626d4e5a2ffc6c4880b50caaa0f
https://doi.org/10.1016/j.renene.2021.02.102

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Akademický článek

Dynamic Olfactometry Measurements of Geothermal Endogenous Gas Emissions

Autor: Marzio Invernizzi, Giacomo Scolieri, Francesca Tagliaferri, Alessandro Bettini, Marcello Cinci, Alessandro Lenzi, Selena Sironi

Publikováno v: Chemical Engineering Transactions, Vol 112 (2024)

Gaseous emissions which may be of odour impact and interest are not solely derived from industrial processes or agricultural fields, but also from natural sources. Natural odorous gaseous emissions are often present in geothermal areas. In these case

Externí odkaz: https://doaj.org/article/e38d532ba97745a781f6568fc28851cf

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Cognitive Action Laws: The Case of Visual Features

Autor: Stefano Melacci, Alessandro Betti, Marco Gori

Publikováno v: IEEE Transactions on Neural Networks and Learning Systems. 31:938-949

This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Artificial neural networks are regarded as systems whose connections are Lagrangian variables, namely, functions depending on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3015d8f9f81fd6d326ccddb51af7af84
https://doi.org/10.1109/tnnls.2019.2911174

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