
Technologies and Innovation
9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings
Springer (Publisher)
Published on 24. October 2023
Book
Paperback/Softback
XIII, 292 pages
978-3-031-45681-7 (ISBN)
Description
This book constitutes the refereed proceedings of the 9th International Conference on Technologies and Innovation, CITI 2023, held in Guayaquil, Ecuador, during November 13-16, 2023.
The 20 full papers included in this book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Machine Learning; Natural Language Processing and Semantic Web; Computer vision; and Knowledge-based systems.
The 20 full papers included in this book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Machine Learning; Natural Language Processing and Semantic Web; Computer vision; and Knowledge-based systems.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
33 s/w Abbildungen, 99 farbige Abbildungen
XIII, 292 p. 132 illus., 99 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 17 mm
Weight
470 gr
ISBN-13
978-3-031-45681-7 (9783031456817)
DOI
10.1007/978-3-031-45682-4
Schweitzer Classification
Other editions
Additional editions

Rafael Valencia-García | Martha Bucaram-Leverone | Javier Del Cioppo-Morstadt
Technologies and Innovation
9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings
E-Book
10/2023
Springer
€85.59
Available for download
Content
Machine Learning
.- Towards a model for the detection of firearms using machine learning algorithms: A case study.- Logistic regression model to predict the risk of contagion of COVID-19 in patients with associated morbidity using supervised machine learning.- Analysis of CoI Presence Indicators in a Moodle Forum using Unsupervised Learning Techniques.- Development of an intelligent Web system for the analysis of data in the F2 layer of the ionosphere using Machine Learning techniques and its implementation as potential earthquake precursors.- Recurrent Neural Networks (RNN) to predict the curve of COVID-19 in Ecuador during the El Niño Phenomenon.- Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review.- Use of data mining strategies in environmental parameters in poultry farms, a case study.-
Natural Language Processing and Semantic Web
.- A First Approach to the Classification of Adverse Drug Effects on Twitter through Machine Learning.- SafercITies. Intelligent system for the analysis and monitoring of citizen security.- Automatic classification of Tweets identifying mental health conditions in Central American population in a pandemic.- SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People's Views and Opinion.- Reuse of Ontological Knowledge in Open Science: Models, Sources, Repositories.- Knowledge Graph for Retail commerce.- Automated creation of a repository for learning words in the area of computer science by keyword extraction methods and text classification.-
Computer vision
.- Automatic identification of hermaphrodite papaya applying computer vision and Machine Learning.- Automatic Detection of Melanoma in Human Skin Lesions.- Information systems based on computer vision for the control of Sigatoka black disease in bananas.-
Knowledge-based systems
.- Bibliometric analysis based on scientific mapping in the use of digital marketing strategies.- Innovating Chemistry Education: Integrating Cultural Knowledge through a Practical Guide and Augmented Reality.- Evaluation of a Grid for the Identification of Traffic Congestion Patterns.