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Artificial Intelligence, Computer and Software Engineering Advances Proceedings of the CIT 2020 Volume 1
Title
Artificial Intelligence, Computer and Software Engineering Advances [electronic resource] : Proceedings of the CIT 2020 Volume 1 / edited by Miguel Botto-Tobar, Henry Cruz, Angela Díaz Cadena.
ISBN
9783030680800
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (XXII, 489 p.) 251 illus., 220 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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 Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2021
Series
Advances in Intelligent Systems and Computing, 1326
Contents
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).
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