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2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings(3)
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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019(1)
Advances in Intelligent Systems and Computing(1)
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Comparing SVM and SSD for classification of vehicles and pedestrians for edge computing
Conference ObjectAbstract: In the context of video processing, transmission to a remote server is not always possible nor suitaPalabras claves:Computer Vision, Convolutional neural network, Performance evaluation, Raspberry PI, Single Shot Detection, Support Vector MachineAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusComputer vision classifier and platform for automatic counting: More than cars
Conference ObjectAbstract: Data on urban mobility is traditionally obtained by polling or by people observing and reporting thePalabras claves:classification, Intensity Pyramid-based Histogram Oriented Gradients (IPHOG), Kalman filter, Measurement-Based Features (MBF), Object size characteristics, Sensor Observation Service (SOS), support vector machine (SVM)Autores:Barros M.J., Juan Gabriel Barros G., Torres F.Fuentes:googlescopusDecentralizing Certificates Issuance Through Blockchain
Conference ObjectAbstract: When the monetary or financial value is not take into account in blockchain, there is still room forPalabras claves:BLOCKCHAIN, Certificates, Education, Open Source, SMART CONTRACTAutores:Andrés Hebkp_redia, Barros M.J., Juan Gabriel Barros G.Fuentes:scopusEdge vs. cloud computing: Where to do image processing for surveillance?
Conference ObjectAbstract: Surveillance applications require transmission of video flows to a high performance remote server orPalabras claves:automatic counter, Camera matrix, convolutional neural networks, Homography, image classification, Performance Analysis, SSD-MobileNetAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusDetection and Classification of Urban Actors Through TensorFlow with an Android Device
Conference ObjectAbstract: With the advancement of Artificial Intelligence, now it is possible to perform Neural Networks for dPalabras claves:Android middleware, convolutional neural networks, Object detection and classification, Performance comparison, Single Shot Detector, TensoFlowAutores:Andres Campoverde, Juan Gabriel Barros G.Fuentes:scopusEstudio de factibilidad de implantación de aplicaciones móviles en Procesos de Campo de la EERCS
OtherAbstract:Palabras claves:Autores:Juan Gabriel Barros G.Fuentes:googleFramework 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:scopusImplementing an Embedded MAC address counter for IoT
Conference ObjectAbstract: Radio signals or packets transmitted through the Industry, Scientific, Medical (ISM) band are more sPalabras claves:Dynamic Time Wrapping, Embedded device, list comparison, Probe Request sniffing, Raspberry PI, sensors development and evaluationAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusIs multicast useful in health care monitoring systems?
OtherAbstract: Health care monitoring is a technique for early detection of many symptoms and illness. As a step foPalabras claves:Autores:Juan Gabriel Barros G.Fuentes:googleReliable routing using heterogeneity in wireless sensor networks
OtherAbstract: Health care monitoring using wireless sensor networks is limited by energy, low bandwidth and smallPalabras claves:Autores:Juan Gabriel Barros G.Fuentes:google