Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Horacio C. Neto"'
Autor:
David Mota, Helena Cruz, Pedro R. Miranda, Rui Policarpo Duarte, Jose T. de Sousa, Horacio C. Neto, Mario P. Vestias
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3600-3611 (2022)
Synthetic aperture radar is a microwave technique to extracting image information of the target. Electromagnetic waves that are reflected from the target are acquired by the aircraft or satellite receivers and sent to a ground station to be processed
Externí odkaz:
https://doaj.org/article/a8e7d5a31ad840e58231d4be4c1237b6
Autor:
Daniel Pestana, Pedro R. Miranda, Joao D. Lopes, Rui P. Duarte, Mario P. Vestias, Horacio C. Neto, Jose T. De Sousa
Publikováno v:
IEEE Access, Vol 9, Pp 75864-75877 (2021)
Object detection and classification is an essential task of computer vision. A very efficient algorithm for detection and classification is YOLO (You Look Only Once). We consider hardware architectures to run YOLO in real-time on embedded platforms.
Externí odkaz:
https://doaj.org/article/6769f844dca2477b83480a2b03ef65a3
Publikováno v:
IEEE Access, Vol 8, Pp 107229-107243 (2020)
Convolutional neural networks have become the state of the art of machine learning for a vast set of applications, especially for image classification and object detection. There are several advantages to running inference on these models at the edge
Externí odkaz:
https://doaj.org/article/9ba698e6a78c468785026cabf6e99df3
Publikováno v:
IEEE Access, Vol 7, Pp 170864-170877 (2019)
This paper presents kNN STreaming Unit For Fpgas (kNN-STUFF), a modular, scalable and efficient Hardware/Software implementation of k-Nearest Neighbors (kNN) classifier targeting System on Chip (SoC) devices. It takes advantage of custom accelerators
Externí odkaz:
https://doaj.org/article/cf1e274d9c30438d89235c83083263e7
Autor:
Horacio C. Neto
Publikováno v:
2010 VI Southern Programmable Logic Conference (SPL).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a968d6f90846ab2c93d4eb73a7719f2
https://doi.org/10.1109/spl.2010.5482999
https://doi.org/10.1109/spl.2010.5482999
Publikováno v:
Algorithms, Vol 16, Iss 3, p 141 (2023)
Wearable devices used for personal monitoring applications have been improved over the last decades. However, these devices are limited in terms of size, processing capability and power consumption. This paper proposes an efficient hardware/software
Externí odkaz:
https://doaj.org/article/b43da1f921ed431d83abc2a59fe7c0f5
Publikováno v:
Sensors, Vol 22, Iss 1, p 348 (2022)
Biometric identification systems are a fundamental building block of modern security. However, conventional biometric methods cannot easily cope with their intrinsic security liabilities, as they can be affected by environmental factors, can be easil
Externí odkaz:
https://doaj.org/article/4570f12eb318418aa3a5db490da4ca90
Autor:
Pedro R. Miranda, Daniel Pestana, João D. Lopes, Rui Policarpo Duarte, Mário P. Véstias, Horácio C. Neto, José T. de Sousa
Publikováno v:
Future Internet, Vol 13, Iss 11, p 280 (2021)
Object detection is an important task for many applications, like transportation, security, and medical applications. Many of these applications are needed on edge devices to make local decisions. Therefore, it is necessary to provide low-cost, fast
Externí odkaz:
https://doaj.org/article/bd055852bd1d4233ad824b714ad595ad
Autor:
Mário P. Véstias, Horácio C. Neto
Publikováno v:
Algorithms, Vol 14, Iss 7, p 198 (2021)
Financial and commercial data are mostly represented in decimal format. To avoid errors introduced when converting some decimal fractions to binary, these data are processed with decimal arithmetic. Most processors only have hardwired binary arithmet
Externí odkaz:
https://doaj.org/article/3546ecbea54e454ca04b61d6612abdbc
Publikováno v:
Algorithms, Vol 13, Iss 5, p 125 (2020)
Deep learning is now present in a wide range of services and applications, replacing and complementing other machine learning algorithms. Performing training and inference of deep neural networks using the cloud computing model is not viable for appl
Externí odkaz:
https://doaj.org/article/1bed178e8c92486ab2efa4ef9781bbb3