Artificial Intelligence, Computer and Software Engineering Advances

Proceedings of the CIT 2020 Volume 1

AvMiguel Botto-Tobar,Henry Cruz

Häftad, Engelska, 2021

Del 1326 i serien Advances in Intelligent Systems and Computing

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Beskrivning

This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:Artificial IntelligenceComputational ModelingData CommunicationsDefense EngineeringInnovation, Technology, and SocietyManaging Technology & Sustained Innovation, and Business DevelopmentModern Vehicle TechnologySecurity and CryptographySoftware Engineering

Produktinformation

Utgivningsdatum:2021-03-20
Mått:155 x 235 x 28 mm
Vikt:768 g
Format:Häftad
Språk:Engelska
Serie:Advances in Intelligent Systems and Computing
Antal sidor:489
Förlag:Springer Nature Switzerland AG
ISBN:9783030680794

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik
Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Prediction of Parkinson’s Disease severity based on Gait Signals using a Neural Network and the Fast Fourier Transform.- An Analysis of Deep Learning Architectures for Cancer Diagnosis.- Identifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-layer Clustering Method.- ToraxIA: Virtual assistant for radiologists based on deep learning from Chest X-ray.- Classification of Andean Chocho (Lupinus Mutabilis Sweet) by shape and color using artificial vision.- Deep Learning for Edge Computing: a Survey.- SIR Model Parameter Fitting of SARS-CoV-2 Basic Reproduction Number in Venezuela and Ecuador Epidemic.- Machine learning and color treatment for the forest fire and smoke detection systems and algorithms, a recent literature review.- Dimensionality Reduction using PCA and CUR Algorithm for data on COVID-19 Tests.- Ensuring Traceability and Orchestration in the Food Supply Chain.- Network Neutrality: The case of five South American countries.-Design techniques of FTTH-GPON networks for segmentation and data traffic relief.- Processing of voice signals in telecommunications systems using MATLAB.- Prototype of a centralized alert and emergency system for Digital Terrestrial Television in Ecuador.- Implementation of a Basic Risk Guide for Interactive Digital Terrestrial Television using learning objects.- Using H5P services to enhance the student evaluation process in Programming courses at the Universidad Politécnica Salesiana (Guayaquil, Ecuador).