ListarPublicaciones por tema "Deep learning"
Mostrando ítems 1-9 de 9
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Assistive Device for the Visually Impaired Based on Computer Vision
(Springer, 2023-03-08)This paper proposed the design of an assistance system for the visually impaired based on computer vision. It includes an object detection tool powered by the YOLO v4 algorithm and Support Vector Machine and trained with ... -
Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
(Springer, 2023-06-09)Microcalcifications clusters (MCCs) are relevant breast cancer indirect evidence and early detection can prevent death. In this paper, we carry out a comparison of the deep learning architectures (DL) InceptionV3, ... -
Emotional Classification Method (ECW): A Methodology for Measuring Emotional Sustainability in a Work Environment Utilizing Artificial Intelligence
(2023-01-17)Sustainable development generally includes three key dimensions: environmental, economic, and social. However, both in practice and in theory, the social dimension often receives less attention than the other two, even ... -
Estudio comparativo de algoritmos de súper resolución de una sola imagen basados en aprendizaje profundo
(2020-12-12)El problema de la súper resolución comprende un conjunto de métodos de procesamiento digital de imágenes; su objetivo es incrementar la resolución de las imágenes para mejorar su calidad visual. En años recientes, con el ... -
Failure Detection System Controlled by a Mixed Reality Interface
(Springer, 2023-03-08)In recent years, technologies have been increasingly being developed to solve problems previously only seen in fiction. Increasingly, the standardization of intelligent systems brings systems capable of self-regulating and ... -
Improving segmentation of liver tumors using deep learning
(Springer, 2020-02-28)Liver tumor segmentation from computed tomography images is an essential task for the automated diagnosis and treatment of liver cancer. However, such task is di cult due to the variability of morphologies, di use boundaries, ... -
Intelligent system for the visual support of caloric intake of food in inhabitants of a smart city using a deep learning model
(Springer, Cham, 2020-03-28)In our days, a recurrent problem in the Smart Cities of all Latin America will be the degenerative illnesses linked to food, one of the main reasons for the lack of organization of each citizen, is not being able to ... -
Mexican traffic sign detection and classification using deep learning
(2022-04-25)En este trabajo tiene se propone una metodología para la detección y clasificación de señales de tránsito mexicanas utilizando aprendizaje profundo. La metodología consiste en la creación de un nuevo conjunto de datos de ... -
Segmentation of Lung Lesions Caused by COVID-19 in Computed Tomography Images Using Deep Learning
(Springer, 2023-08-22)Smart cities are transforming the way people live, work, and socialize. Smart cities offer a wide range of opportunities to improve the quality of life for citizens, and smart healthcare is one of the most promising ...