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of 405
pro vyhledávání: '"P, Sappa"'
Traditional crime prediction techniques are slow and inefficient when generating predictions as crime increases rapidly \cite{r15}. To enhance traditional crime prediction methods, a Long Short-Term Memory and Gated Recurrent Unit model was construct
Externí odkaz:
http://arxiv.org/abs/2409.00640
Most high-level computer vision tasks rely on low-level image operations as their initial processes. Operations such as edge detection, image enhancement, and super-resolution, provide the foundations for higher level image analysis. In this work we
Externí odkaz:
http://arxiv.org/abs/2308.06468
Autor:
Simone Palumbo, Mohammad Amin Khalili, Domenico Calcaterra, Amirbahador Kouchakkapourchali, Gerardo Grelle, Luigi Guerriero, Giuseppe Sappa, Diego Di Martire
Publikováno v:
Research and Review Journal of Nondestructive Testing, Vol 2, Iss 2 (2024)
Over recent years, the worldwide increase in infrastructure failures due to natural hazards such as landslides and earthquakes has raised significant concern. Aggravated by the effects of climate change, this issue has had a considerable impact, part
Externí odkaz:
https://doaj.org/article/62452097ccb847748036b8b5867e7649
Publikováno v:
Journal of Manufacturing Systems 64 (2022) 497-507
Collaborative robotic industrial cells are workspaces where robots collaborate with human operators. In this context, safety is paramount, and for that a complete perception of the space where the collaborative robot is inserted is necessary. To ensu
Externí odkaz:
http://arxiv.org/abs/2210.10365
<<>>. Edge detection is the basis of many computer vision applications. State of the art predominantly relies on deep learnin
Externí odkaz:
http://arxiv.org/abs/2112.02250
Autor:
Leo Thomas Ramos, Angel D. Sappa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14295-14336 (2024)
Land cover classification (LCC) is a process used to categorize the earth's surface into distinct land types. This classification is vital for environmental conservation, urban planning, agricultural management, and climate change research, providing
Externí odkaz:
https://doaj.org/article/7ebf4593e0cd4704a2547a8eecb6dfce
Publikováno v:
Artificial Intelligence in Agriculture, Vol 9, Iss , Pp 89-99 (2023)
This article presents an efficient approach to classify a set of corn kernels in contact, which may contain good, or defective kernels along with impurities. The proposed approach consists of two stages, the first one is a next-generation segmentatio
Externí odkaz:
https://doaj.org/article/fa887a87dc4d4e7fa241997d189280fb
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 1 (2024)
Digital Twins is a digital replica of a physical object to observe its real-time performance, gather data, and recommend corrective actions if required to enhance its performance. This fascinating technological idea is now reaching the agriculture fi
Externí odkaz:
https://doaj.org/article/ff49b061b6c943f1a461f32288c826b5
Lightweight super resolution networks have extremely importance for real-world applications. In recent years several SR deep learning approaches with outstanding achievement have been introduced by sacrificing memory and computational cost. To overco
Externí odkaz:
http://arxiv.org/abs/2011.04566
Akademický článek
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