Titlebook: Artificial Intelligence, Computer and Software Engineering Advances; Proceedings of the C Miguel Botto-Tobar,Henry Cruz,Angela Díaz Cadena

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N防腐劑

An Analysis of Deep Learning Architectures for Cancer Diagnosised for training and testing on a data set of 8801 breast cancer images, has good properties and generates quantitative results for image classification; in the adopted model, a precision rate was obtained on the data set that reached 85.67% in training and 85.87% in tests; the quality of the model i

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ToraxIA: Virtual Assistant for Radiologists Based on Deep Learning from Chest X-Rayspiratory disease. The model reached 97% of accuracy. These results suggest that our model can be used as an automatic identifier of tissues and pathological signs from Chest X-Ray images. In consequence, it constitutes a meaningful and essential tool for preliminary studies of the severe respirator

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Machine Learning and Color Treatment for the Forest Fire and Smoke Detection Systems and Algorithms,oke detection algorithms in the UAS/UAV’s systems was carried out paying special attention on them due to the flexibility, versatility, and maneuverability abilities among others displayed by these systems that help prevent and mitigate forest fires.

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Prototype of a Centralized Alert and Emergency System for Digital Terrestrial Television in Ecuadorransmitted via DTT. The main objective is the storage of the information in a database, and a WEB RSS service that contains the information in conformance with CAP format. A series of experiments show successful outcomes.

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Implementation of a Basic Risk Guide for Interactive Digital Terrestrial Television Using Learning Oental, based on constant deliveries and progressive advances. The application has been developed in the Ginga NCL (Nested Context Language)-LUA programming language, and the tests have been carried out in two environments: 1) simulation with Ginga-NCL emulators and 2) using the Set Top Box (STB) . r

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Embedded System for Fall Detection in Activities of Daily Living ADLs: A Time Window Analysis was selected based on a previous work. The system has wireless communication to send information from the detected ADLs to the PC for test purposes. The device was carried by 6 people on the waist, who carried out the tests of the different ADLs. System accuracy is between 60% and 82% with processi

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