Titlebook: Applications of Computational Intelligence; Second IEEE Colombia Alvaro David Orjuela-Cañón,Juan Carlos Figueroa-Ga Conference proceedings

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指令

Framework Comparison of Neural Networks for Automated Counting of Vehicles and Pedestrianscars, the application count pedestrians. Frameworks used are: SSD Mobilenet re-trained, SSD Mobilenet pre-trained, and GoogLeNet pre-trained. The evaluation data set has a total duration of 60 min and comes from three different cameras. Images from the real deployment videos are included when traini

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Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking Systemare-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In this work, we address this issue by proposing a Multiple-Object Tracking (MOT) system, following the tracking-by-detection paradigm, that leverages on an ensemble of detectors, each running every . fra

chondromalacia

Accelerating Video Processing Inside Embedded Devices to Count Mobility Actorsdeo flows? This work analyze techniques to accelerate a counting system for mobility actors like cars, pedestrians, motorcycles, bicycles, buses, and trucks in the context of an Edge computing application using deep learning. To solve this problem this study presents the analysis and implementation

增长

Influences of the Trained State Model into the Decoding of Elbow Motion Using Kalman Filter cross-validation are tested in order to find the ones that reduce the estimation error. Found that selecting correctly the number of channels and the time step used to configure the signal, it is possible to improve the filter estimation capabilities. As there was an apparent incidence of the varia

vasculitis

Building Dengue Sensors for Brazil Using a Social Network and Text MiningTopics related to politics, science, health alarms and others are shared by users everyday to monitor an prevent events. Natural Language Processing is the tool to analyze this text and get some insight using Machine Learning Techniques. In this work, . is analyzed to detect social events because us

Substitution

Prediction of Diabetic Patient Readmission Using Machine Learningence efforts are generally made by medical professionals in order to prevent them. These endeavors are especially critical in the case of chronic conditions, such as diabetes. Recent developments in machine learning have been successful at predicting readmissions from the medical history of the diab

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DCGAN Model Used to Generate Body Gestures on a Human-Humanoid Interaction System programmed to behave autonomous ways to provide help to people. The aspect of the humanoids and the humanness of interaction are key components of success. We developed a system to endow the humanoid robot Pepper, from SoftBank Robotics, with the capability of both: identify the emotion state of th

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