Zobrazeno 1 - 10
of 414
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
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
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
<<>>. 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
Publikováno v:
Water, Vol 16, Iss 20, p 2939 (2024)
Manganese (Mn) is one of the most abundant metals naturally present in the environment, but currently, it also represents an important factor of environmental contamination due to intense human activity. To investigate the nature of the presence of c
Externí odkaz:
https://doaj.org/article/0162e1b24fad485daae0b80278659883
Publikováno v:
Water, Vol 16, Iss 18, p 2580 (2024)
In the last decades, climate change has led to increasingly frequent drought events within the Mediterranean area, creating an urgent need of a more sustainable management of groundwater resources exploited for drinking and agricultural purposes. One
Externí odkaz:
https://doaj.org/article/a25e2417eb4642d7acc8db45d201379a
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
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
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