9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings Herausgegeben:Valencia-García, Rafael; Bucaram-Leverone, Martha; Del Cioppo-Morstadt, Javier; Vera-Lucio, Néstor; Centanaro-Quiroz, Pablo Humberto
9th International Conference, CITI 2023, Guayaquil, Ecuador, November 13-16, 2023, Proceedings Herausgegeben:Valencia-García, Rafael; Bucaram-Leverone, Martha; Del Cioppo-Morstadt, Javier; Vera-Lucio, Néstor; Centanaro-Quiroz, Pablo Humberto
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.
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 1873
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Inhaltsangabe
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.
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.
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