Technologies and Innovation
9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings
Published on 22. October 2023
XIII, 292 pages
978-3-031-45682-4 (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
Product notice
Reflowable
Illustrations
XIII, 292 p. 132 illus., 99 illus. in color.
File size
28,30 MB
ISBN-13
978-3-031-45682-4 (9783031456824)
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
Book
10/2023
Springer
€85.59
Shipment within 15-20 days
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.
