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Mostrando ítems 1-10 de 12
Artículo
Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed
(MDPI, 2021-01)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases and 360,000 deaths in 2018. As it has been estimated, its mortality will double by 2040, mostly ...
Artículo
Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)
Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The classic techniques to detect it have undergone a great change since the intrusion of machine learning ...
Artículo
An eLearning Standard Approach for Supporting PBL in Computer Engineering
(IEEE Computer Society, 2009)
Problem-based learning (PBL) has proved to be a highly successful pedagogical model in many fields, although it is not that common in computer engineering. PBL goes beyond the typical teaching methodology by promoting ...
Artículo
Wide and Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
(Elsevier, 2021)
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with almost 1.41 million new cases and around 375,000 deaths in 2020. Artificial Intelligence algorithms ...
Artículo
Chrono-Scheduling; a simplified dynamic scheduling algorithm for timing predictable processors
(World Scientific Connecting Great MInds, 2009)
We propose a simpler and latency-reduced instruction scheduler, called chronoscheduling algorithm, which avoids large and difficult instruction wake-up in order to reduce power consumption and latencies. The key idea of ...
Artículo
TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the ...
Artículo
Robotics software frameworks for multi-agent robotic systems development
(Elsevier, 2012)
Robotics is an area of research in which the paradigm of Multi-Agent Systems (MAS) can prove to be highly useful. Multi-Agent Systems come in the form of cooperative robots in a team, sensor networks based on mobile ...
Artículo
A Path Following Control for Unicycle Robots
(John Wiley and Sons, 2001)
In this work we present a new path following control for unicycle robots that is applicable for almost all the possible desired paths and whose analysis is very straightforward. First we select the path following method ...
Artículo
Soft real-time communications over Bluetooth under interferences from ISM devices
(John Wiley and Sons, 2006)
Bluetooth is a suitable technology to support soft real-time applications like multimedia streams at the personal area network level. In this paper, we analytically evaluate the worst-case deadline failure probability ...
Artículo
COVID-XNet: a custom Deep Learning system to diagnose and locate COVID-19 in chest X-ray images
(MDPI, 2020-08)
The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is crucial in order to prevent new outbreaks and control its rapid spread. Medical imaging techniques, ...