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pro vyhledávání: '"Rayson, P."'
Super-resolution algorithms often struggle with images from surveillance environments due to adverse conditions such as unknown degradation, variations in pose, irregular illumination, and occlusions. However, acquiring multiple images, even of low q
Externí odkaz:
http://arxiv.org/abs/2408.15386
Autor:
Nascimento, Valfride, Laroca, Rayson, Ribeiro, Rafael O., Schwartz, William Robson, Menotti, David
Despite significant advancements in License Plate Recognition (LPR) through deep learning, most improvements rely on high-resolution images with clear characters. This scenario does not reflect real-world conditions where traffic surveillance often c
Externí odkaz:
http://arxiv.org/abs/2408.15103
Vehicle information recognition is crucial in various practical domains, particularly in criminal investigations. Vehicle Color Recognition (VCR) has garnered significant research interest because color is a visually distinguishable attribute of vehi
Externí odkaz:
http://arxiv.org/abs/2408.11589
This study aims to explore the implementation of Natural Language Processing (NLP) and machine learning (ML) techniques to automate the coding of medical letters with visualised explainability and light-weighted local computer settings. Currently in
Externí odkaz:
http://arxiv.org/abs/2407.13638
Autor:
Emezue, Chris Chinenye, Okoh, Ifeoma, Mbonu, Chinedu, Chukwuneke, Chiamaka, Lal, Daisy, Ezeani, Ignatius, Rayson, Paul, Onwuzulike, Ijemma, Okeke, Chukwuma, Nweya, Gerald, Ogbonna, Bright, Oraegbunam, Chukwuebuka, Awo-Ndubuisi, Esther Chidinma, Osuagwu, Akudo Amarachukwu, Nmezi, Obioha
The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communication, learning and preservation. To create robust, impactful, and wi
Externí odkaz:
http://arxiv.org/abs/2405.00997
Autor:
Levan, Andrew J., Jonker, Peter G., Saccardi, Andrea, Malesani, Daniele Bjørn, Tanvir, Nial R., Izzo, Luca, Heintz, Kasper E., Sánchez, Daniel Mata, Quirola-Vásquez, Jonathan, Torres, Manuel A. P., Vergani, Susanna D., Schulze, Steve, Rossi, Andrea, D'Avanzo, Paolo, Gompertz, Benjamin, Martin-Carrillo, Antonio, Postigo, Antonio de Ugarte, Schneider, Benjamin, Yuan, Weimin, Ling, Zhixing, Zhang, Wenjie, Mao, Xuan, Liu, Yuan, Sun, Hui, Xu, Dong, Zhu, Zipei, Fernández, José Feliciano Agüí, Amati, Lorenzo, Bauer, Franz E., Campana, Sergio, Carotenuto, Francesco, Chrimes, Ashley, van Dalen, Joyce N. D., D'Elia, Valerio, Della Valle, Massimo, De Pasquale, Massimiliano, Dhillon, Vikram S., Galbany, Lluís, Gaspari, Nicola, Gianfagna, Giulia, Gomboc, Andreja, Habeeb, Nusrin, van Hoof, Agnes P. C., Hu, Youdong, Jakobsson, Pall, Julakanti, Yashaswi, Korth, Judith, Kouveliotou, Chryssa, Laskar, Tanmoy, Littlefair, Stuart P., Maiorano, Elisabetta, Mao, Jirong, Melandri, Andrea, Miller, M. Coleman, Mukherjee, Tamal, Oates, Samantha R., O'Brien, Paul, Palmerio, Jesse T., Parviainen, Hannu, Pieterse, Daniëlle L. A., Piranomonte, Silvia, Piro, Luigi, Pugliese, Giovanna, Ravasio, Maria E., Rayson, Ben, Salvaterra, Ruben, Sánchez-Ramírez, Rubén, Sarin, Nikhil, Shilling, Samuel P. R., Starling, Rhaana L. C., Tagliaferri, Gianpiero, Thakur, Aishwarya Linesh, Thöne, Christina C., Wiersema, Klaas, Worssam, Isabelle, Zafar, Tayyaba
The nature of the minute-to-hour long Fast X-ray Transients (FXTs) localised by telescopes such as Chandra, Swift, and XMM-Newton remains mysterious, with numerous models suggested for the events. Here, we report multi-wavelength observations of EP24
Externí odkaz:
http://arxiv.org/abs/2404.16350
License Plate Recognition (LPR) plays a critical role in various applications, such as toll collection, parking management, and traffic law enforcement. Although LPR has witnessed significant advancements through the development of deep learning, the
Externí odkaz:
http://arxiv.org/abs/2309.04331
The abundance of observed data in recent years has increased the number of statistical augmentations to complex models across science and engineering. By augmentation we mean coherent statistical methods that incorporate measurements upon arrival and
Externí odkaz:
http://arxiv.org/abs/2307.05334
Autor:
Nascimento, Valfride, Laroca, Rayson, Lambert, Jorge de A., Schwartz, William Robson, Menotti, David
Publikováno v:
Computers & Graphics, vol. 113, pp. 69-76, 2023
Recent years have seen significant developments in the field of License Plate Recognition (LPR) through the integration of deep learning techniques and the increasing availability of training data. Nevertheless, reconstructing license plates (LPs) fr
Externí odkaz:
http://arxiv.org/abs/2305.17313
This work draws attention to the large fraction of near-duplicates in the training and test sets of datasets widely adopted in License Plate Recognition (LPR) research. These duplicates refer to images that, although different, show the same license
Externí odkaz:
http://arxiv.org/abs/2304.04653