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ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021(2)
2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(2)
2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021(1)
Communications in Computer and Information Science(1)
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Ciencias de la computación(7)
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Automatic Manifesto Comparison using NLP Techniques and the Manifesto Project Domains-Case Study: 2021 Ecuadorian Presidential Elections
Conference ObjectAbstract: Democracies rely on the capability of a country to conduct fair elections. And, fair elections relyPalabras claves:doc2vec, ELECTIONS, Manifesto Project, Natural Language processing, Political manifest, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, Medina-Perez P., Mike Pinta, Noel Perez, Ricardo Flores MoyanoFuentes:scopusFace Gesture Recognition Using Deep-Learning Models
Conference ObjectAbstract: This work compares face gesture recognition methods based on deep learning convolutional neural netwPalabras claves:Artificial Intelligence, deep-learning models, face emotion recognition, Face gesture classification, Face imagesAutores:Andrés Espinel, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:scopusEnhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators
ArticleAbstract: Network slicing is a key element in 5G networks. It allows a mobile network operator (MNO) to offerPalabras claves:5G, multiaccess edge computing, Network function virtualization, network slicing, software-defined networks, virtualized network function orchestrationAutores:Bellido Triana L., Cardenas A., Fernandez D., Lentisco C.M., Ricardo Flores MoyanoFuentes:googlescopusNFV/SDN Based Multiple Upstream Interfaces Multicast Proxy Service
Conference ObjectAbstract: Traditional IP multicast proxies only consider a single upstream interface per proxy, thus limitingPalabras claves:IGMP/MLD, IP multicast, multiple upstream interfaces, proxy, software defined networksAutores:Contreras L.M., Fernandez D., Garcia S., Ricardo Flores MoyanoFuentes:googlescopusPath Planning Optimization in SDN Using Machine Learning Techniques
Conference ObjectAbstract: Internet, mobile networks, and mobile devices have contributed to the massive development of telematPalabras claves:ANN, Knn, PATH PLANNING, SDN, SVMAutores:Daniel Riofrio, Diego S. Benitez, Marlon Rodríguez, Noel Perez, Ricardo Flores MoyanoFuentes:scopusTowards Automatic Comparison of Online Campaign Versus Electoral Manifestos
Conference ObjectAbstract: Social media is an important information outlet and a new political landscape for politicians. In faPalabras claves:ELECTIONS, Natural Language processing, Political campaign, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, José Dávalos, Medina-Perez P., Noel Perez, Pablo Medina P., Pamela Almeida, Ricardo Flores MoyanoFuentes:googlescopusTowards a low-cost embedded vehicle counting system based on deep-learning for traffic management applications
Conference ObjectAbstract: This paper explores the feasibility of using a low-cost embedded system for real-time vehicle detectPalabras claves:Centroid, Deep-learning, Kalman filter, Neural computer stick (NCS2), Raspberry PI, tracking, Vehicle recognition, YOLOv4 tinyAutores:Daniel Riofrio, Diego S. Benitez, Josue Navarro, Noel Perez, Ricardo Flores MoyanoFuentes:scopusTowards a low-cost embedded vision-based occupancy recognition system for energy management applications
Conference ObjectAbstract: This paper focuses on the development of a low-cost real-time occupancy detection system for peoplePalabras claves:Deep Neural Networks, IoU, Neural computer stick (NCS2), PYTHON, Raspberry PI, Tiny-YOLOAutores:Daniel Riofrio, Diego S. Benitez, German Picon, Noel Perez, Ricardo Flores MoyanoFuentes:scopusStock Price Analysis with Deep-Learning Models
Conference ObjectAbstract: Novel artificial intelligence pbkp_rediction algorithms use deep learning techniques, i.e., recurrenPalabras claves:Autoencoder, Conv2D, deep learning, LSTM, pbkp_rediction, Stocks, Time-seriesAutores:Daniel Riofrio, Diego S. Benitez, Juan Arosemena, Noel Perez, Ricardo Flores MoyanoFuentes:scopusText-based CAPTCHA Vulnerability Assessment using a Deep Learning-based Solver
Conference ObjectAbstract: The focus of this work is to test the security offered by Text-based CAPTCHAs. We present differentPalabras claves:Computer Vision, convolutional neural networks, deep learning, LeNet, Text-Based CAPTCHAsAutores:Daniel Aguilar, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:scopus