Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Constantino CA"'
Autor:
Muhammad Najam Dar, Muhammad Usman Akram, Ahmad Rauf Subhani, Sajid Gul Khawaja, Constantino Carlos Reyes-Aldasoro, Sarah Gul
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Affect recognition in a real-world, less constrained environment is the principal prerequisite of the industrial-level usefulness of this technology. Monitoring the psychological profile using smart, wearable electroencephalogram (EEG) senso
Externí odkaz:
https://doaj.org/article/5f9da2a6cd6a4db49615985ce9277e78
Autor:
Mauricio Alberto Ortega-Ruiz, Cefa Karabag, Edgar Roman-Rangel, Constantino Carlos Reyes-Aldasoro
Publikováno v:
IEEE Access, Vol 12, Pp 40412-40424 (2024)
Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and collagen. For cancer diagnosis, these slides are used to recognize tissues
Externí odkaz:
https://doaj.org/article/bc26758e0d1f4343bbdb9d93afedcbab
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/87e90596382b467a89cb4b974ae098b1
FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
Publikováno v:
AI, Vol 4, Iss 2, Pp 361-374 (2023)
This paper describes the transformation of a traditional in silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate the inferenc
Externí odkaz:
https://doaj.org/article/0a13e542d6b946afa205934aa0c95571
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 5, p 47 (2024)
The International Classification of Diseases (ICD) serves as a widely employed framework for assigning diagnosis codes to electronic health records of patients. These codes facilitate the encapsulation of diagnoses and procedures conducted during a p
Externí odkaz:
https://doaj.org/article/6f1a5f983b8b49e4b8e98b1916fd2c26
Publikováno v:
International Journal of Health Geographics, Vol 21, Iss 1, Pp 1-23 (2022)
Abstract Background Climate variability influences the population dynamics of the Aedes aegypti mosquito that transmits the viruses that cause dengue, chikungunya and Zika. In recent years these diseases have grown considerably. Dengue is now the fas
Externí odkaz:
https://doaj.org/article/4f075c6cbed5462e90304a71a12f3b50
Autor:
Rabeea Jaffari, Manzoor Ahmed Hashmani, Constantino Carlos Reyes-Aldasoro, Aisha Zahid Junejo, Hasmi Taib, M. Nasir B. Abdullah
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 7, Pp 101615- (2023)
The inspection and maintenance of electrical power lines (PL) via unmanned aerial vehicles (UAV) require fast and accurate PL detection to ensure smooth and secure electrical operations. However, the detection of PLs from aerial images is a highly ch
Externí odkaz:
https://doaj.org/article/f2a9c34655634aebb05b3c8b00a9f630
Autor:
Beatriz Machado, Liliana Antunes, Constantino Caetano, João F. Pereira, Baltazar Nunes, Paula Patrício, M. Luísa Morgado
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 936-952 (2022)
In this work we use simple mathematical models to study the impact of vaccination against COVID-19 in Portugal. First, we fit a SEIR type model without vaccination to the Portuguese data on confirmed cases of COVID-19 by the date of symptom onset, fr
Externí odkaz:
https://doaj.org/article/118ec180e69142058beb766e3ac4ac8b
Publikováno v:
Sobre México, Iss 5 (2022)
We analyze the factors that explain a victim’s decision to report burglary, public theft, extortion, and fraud to the public prosecutor’s office in Mexico. Using a probit model and combining survey and census data, we examine how reporting is exp
Externí odkaz:
https://doaj.org/article/af86de145c7345ff8e07100829cc983c
Publikováno v:
Journal of Imaging, Vol 9, Iss 3, p 59 (2023)
This paper investigates the impact of the amount of training data and the shape variability on the segmentation provided by the deep learning architecture U-Net. Further, the correctness of ground truth (GT) was also evaluated. The input data consist
Externí odkaz:
https://doaj.org/article/25ca49af64f44e14a19007ed7771f83d