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9th International Conference on Information and Communication Technology Convergence ICT Convergence Powered by Smart Intelligence Ictc 2018(1)
9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018(1)
ICT Express(1)
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scopus(8)
Addressing the data acquisition paradigm in the early detection of pediatric foot deformities
ArticleAbstract: The analysis of plantar pressure through podometry has allowed analyzing and detecting different typPalabras claves:CHILDREN, Data Analysis, Embedded Systems, Machine Learning, Plantar pressureAutores:Diego Hernán Peluffo-Ordóñez, Fuentes-Hernández E.A., Manuel Eugenio Morocho-Cayamcela, Paul D. Rosero-Montalvo, Sierra-Martínez L.M.Fuentes:scopusArtificial Intelligence in 5G Technology: A Survey
Conference ObjectAbstract: A fully operative and efficient 5G network cannot be complete without the inclusion of artificial inPalabras claves:5g networks, Artificial intelligence, Deep learning, IT Convergence, Machine Learning, Next Generation NetworkAutores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusMachine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X
ArticleAbstract: Multi-hop relay selection is a critical issue in vehicle-to-everything networks. In previous works,Palabras claves:Machine Learning, multi-hop wireless communication, Q-Learning, vehicle-to-everythingAutores:Lee H., Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusMachine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
ArticleAbstract: Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be a key enablPalabras claves:5G mobile communication, Artificial intelligence, B5G, Machine Learning, Mobile Communication, Wireless CommunicationAutores:Lee H., Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusExpanding the Coverage of Multihop V2V with DCNNs and Q-Learning
ArticleAbstract: One of the most critical challenge in a vehicle-to-vehicle (V2V) scenario is the transmission safetyPalabras claves:Machine Learning, multi-hop, Q-Learning, Vehicle-to-vehicle, wireless coverageAutores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusParkinson’s Disease Diagnosis Through Electroencephalographic Signal Processing and Sub-optimal Feature Extraction
Conference ObjectAbstract: Parkinson’s disease is the second most common neurological disorder after Alzheimer. Several limitatPalabras claves:EEG, Machine Learning, Medical informatics, Parkinson's Disease, signal processing, Waveform shapeAutores:Diego Hernán Peluffo-Ordóñez, Manuel Eugenio Morocho-Cayamcela, Pozo-Ruiz S., Torres D.M.Fuentes:scopusPredicting target data rates for dynamic spectrum allocation using Gaussian process regression
ArticleAbstract: Issues in spectrum allocation between wireless network users have arisen due to the fast increase inPalabras claves:Gaussian process regression, Machine Learning, Spectrum allocation, Target data rateAutores:Caliwag A., Lim W., Manuel Eugenio Morocho-Cayamcela, Njoku J.N., Xiao P.Fuentes:scopusAI-BASED PREDICTIVE AND DETECTION MODELS FOR AVIAN POX CAUSED BY AVIPOXVIRUS SPP IN THE GALÁPAGOS ISLANDS
OtherAbstract: Predicting infection by Avipoxvirus spp, the causative agent of avian pox, in endemic Galápagos IslaPalabras claves:Artificial intelligence, Avipoxvirus, Data Analysis, Galapagos Islands, Machine LearningAutores:Ariana Deyaneira Jiménez-Narvaez, Clayanela Zambrano-Caicedo, Fernando Patricio Carranco-Avila, Grace Rodríguez, Iván Reyes, Jonathan Javier Loor-Duque, Juan David Moromenacho-Aguirre, Manuel Eugenio Morocho-Cayamcela, Paulina Vizcaíno-ImacañaFuentes:scopus