Artificial Intelligence, Computer and Software Engineering Advances

Proceedings of the CIT 2020 Volume 1
1. Auflage 2021
ISBN: 978-3-030-68079-4
Verlag: Springer International Publishing

Buch, Englisch, Band 1326, 489 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 768 g

Reihe: Advances in Intelligent Systems and Computing

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

Zielgruppe

Research

Autoren/Hrsg.

Botto-Tobar, Miguel

Díaz Cadena, Angela

Cruz, Henry

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

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).