Mostrando 6 resultados de: 6
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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings(1)
Communications in Computer and Information Science(1)
Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017(1)
Proceedings - 2019 45th Latin American Computing Conference, CLEI 2019(1)
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Ciencias de la computación(4)
Métodos informáticos especiales(2)
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Economía de la tierra y la energía(1)
Enfermedades(1)
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Ciencias de la computación(4)
Aprendizaje automático(3)
Laboratorio médico(3)
Red neuronal artificial(1)
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google(2)
Framework comparison of neural networks for automated counting of vehicles and pedestrians
Conference ObjectAbstract: This paper presents a comparison of three neural network frameworks used to make volumetric counts iPalabras claves:automatic counter, classification, convolutional neural networks, learning transfer, MOBILENET, Single Shot Detector, trackingAutores:Andrés Hebkp_redia, Fátima Farías, Galo Lalangui, Jessica Guerrero, Jorge Cordero, Juan Gabriel Barros G., Luis Barba-Guaman, Nancy Loja, Omar Ruiz-Vivanco, Wilmer Rivas AsanzaFuentes:scopusEnvironmental sustainability in information technologies governance
ArticleAbstract: In the present day, many risk factors affect the continuity of a business. However, this situation pPalabras claves:Environmental sustainability, Governance of sustainable information technologies, Information technologies governanceAutores:Andrade-Garda J., García-Vázquez R., Jennifer Katherin Celleri Pacheco, Mato-Abad V., Rodríguez-Yáñez S., Suárez-Garaboa S., Wilmer Rivas AsanzaFuentes:scopusMulti-category classification of mammograms by using convolutional neural networks
Conference ObjectAbstract: This work describes the process of multi-category classification of mammograms by using ConvolutionaPalabras claves:BIRADS, Breast Cancer, Convolutional neural network, pattern recognition, TensorFlowAutores:Bertha Mazon-Olivo, Campoverde E., Eduardo Tusa, Ivan Ramirez-Morales, Moya E., Wilmer Rivas AsanzaFuentes:googlescopusMammogram classification schemes by using convolutional neural networks
Conference ObjectAbstract: This work presents the comparison of two schemes of mammogram classification based on convolutionalPalabras claves:Breast Cancer, Convolutional neural network, Machine learning, Mammography, TensorFlowAutores:Carlos Aguilar, Danny Soriano, Eduardo Tusa, Ivan Ramirez-Morales, Maritza Pinta, Wilmer Rivas AsanzaFuentes:googlescopusMammogram classification using back-propagation neural networks and texture feature descriptors
Conference ObjectAbstract: Breast cancer has an important incidence in women worldwide. Early diagnosis of this illness plays aPalabras claves:Artificial Neural Network (ANN), Breast Cancer, classification, Cross validation, Gray level co-ocurrence matrix (GLCM), Mammography, pattern recognition, Texture analysisAutores:Conci A., Eduardo Tusa, Marco E. Benalcázar, María Perez, Wilmer Rivas AsanzaFuentes:scopusPerformance analysis of a CNN counting application for fog and cloud computing
Conference ObjectAbstract: Data extraction from surveillance videos is an important subject, not only because of the amount ofPalabras claves:automatic counter, classification, CLOUD COMPUTING, convolutional neural networks, Performance AnalysisAutores:Andrés Hebkp_redia, Juan Gabriel Barros G., Nancy Loja, Wilmer Rivas AsanzaFuentes:scopus