Technologies and Innovation [E-Book] : 9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings / edited by Rafael Valencia-García, Martha Bucaram-Leverone, Javier Del Cioppo-Morstadt, Néstor Vera-Lucio, Pablo Humberto Centanaro-Quiroz.
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 organize...
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Personal Name(s): | Bucaram-Leverone, Martha, editor |
Centanaro-Quiroz, Pablo Humberto, editor / Del Cioppo-Morstadt, Javier, editor / Valencia-García, Rafael, editor / Vera-Lucio, Néstor, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
XIII, 292 pages 132 illustrations, 99 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031456824 |
DOI: |
10.1007/978-3-031-45682-4 |
Series Title: |
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Communications in Computer and Information Science ;
1873 |
Subject (LOC): |
- 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.