Zobrazeno 1 - 10
of 836
pro vyhledávání: '"Urbano J"'
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3464 (2024)
In a completely locked-in state (CLIS), often resulting from traumatic brain injury or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS), patients lose voluntary muscle control, including eye movement, making communication impossibl
Externí odkaz:
https://doaj.org/article/3c5334222c13425e9054fea03e6b863a
Autor:
Urbano J. Pedraza Ferreira, Carlos A. Perdomo Pérez, Ariel Santos Fuentefria, Martín Rapado Acosta, Alfredo M. Del Castillo Serpa
Publikováno v:
Revista Científica de Ingeniería Energética, Vol 43, Iss 2, Pp 1-12 (2022)
El uso de las fuentes renovables de energía se ha incrementado exponencialmente a nivel mundial. Cuba ha implementado un plan hasta el 2030 donde las fuentes renovables juegan un papel fundamental dentro de la matriz energética nacional. La políti
Externí odkaz:
https://doaj.org/article/949d5a45bbd84f789f37d5ddeb08d752
Publikováno v:
IEEE Access, Vol 9, Pp 46011-46021 (2021)
Human-Machine Interfaces employing biosignal-based inputs are hard to translate to real-life applications, in part because of the difficulty of developing generalized models to classify physiological events representing a user’s actions. In the pro
Externí odkaz:
https://doaj.org/article/73c3ad1bc18145fcb3174b46ca25548d
Publikováno v:
Sensors, Vol 22, Iss 15, p 5767 (2022)
Increasing demand for more reliable and safe autonomous driving means that data involved in the various aspects of perception, such as object detection, will become more granular as the number and resolution of sensors progress. Using these data for
Externí odkaz:
https://doaj.org/article/ab067eae404b4088b2f65b4844284e80
Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification task into a challenging computer vision task. Despite the significant performance boost in classification tasks achieved
Externí odkaz:
http://arxiv.org/abs/2404.07739
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1319 (2022)
Multi-Object Tracking (MOT) techniques have been under continuous research and increasingly applied in a diverse range of tasks. One area in particular concerns its application in navigation tasks of assistive mobile robots, with the aim to increase
Externí odkaz:
https://doaj.org/article/8812e0723e9c44948bfa457ca2cee9f9
Autor:
Cunha, Nuno, Barros, Tiago, Reis, Mário, Marta, Tiago, Premebida, Cristiano, Nunes, Urbano J.
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, and yield estimation. From an image segmentation perspective, multispec
Externí odkaz:
http://arxiv.org/abs/2308.00159
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-based place recognition to find revisited places efficiently. However,
Externí odkaz:
http://arxiv.org/abs/2305.18013
With the rise of Deep Neural Networks, machine learning systems are nowadays ubiquitous in a number of real-world applications, which bears the need for highly reliable models. This requires a thorough look not only at the accuracy of such systems, b
Externí odkaz:
http://arxiv.org/abs/2304.05104
Publikováno v:
Pattern Recognition Letters, vol 179, pp. 24-30, 2024
This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation-based semantic features (SSFs). These features represent, per segment
Externí odkaz:
http://arxiv.org/abs/2302.06432