Technologies and Innovation (eBook, PDF)

10th International Conference, CITI 2024, Guayaquil, Ecuador, November 11-14, 2024, Proceedings
Redaktion: Valencia-García, Rafael; Vera-Lucio, Néstor; Moran-Castro, Cesar Ernesto; Del Cioppo-Morstadt, Javier; Borodulina, Tamara

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 10th International Conference on Technologies and Innovation, CITI 2024, held in Guayaquil, Ecuador, during November 2024.

The 15 full papers presented in this volume were carefully reviewed and selected from 38 submissions. These papers have been organized under the following topical sections: Artificial intelligence in Agriculture; Natural language processing and semantic web; Machine learning; Software tools.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 212
• Erscheinungstermin: 25. Oktober 2024
• Englisch
• ISBN-13: 9783031757020
• Artikelnr.: 72243393

Inhaltsangabe

.- Artificial Intelligence in Agriculture.

.- Morphological defects classification in coffee beans based on Convolutional neural networks.

.- Multiclass classification of dry bean grains using machine learning techniques.

.- Towards Smart Agriculture: An Overview of Big Data in the Agricultural Industry.

.- Application of Predictive Algorithms in a Web System to Optimize Ornamental Fish Sales at Granlevein Farm, Churute.

.- Web-based system for the diagnosis of canine diseases using data mining techniques.

.- Natural Language Processing and Semantic Web.

.- Language Technology-based Political Microtargeting Services.

.- Automatic Generation of Summaries and Questions to Support the Reading Comprehension Process.

.- PoliticPA 2024: Author Profiling Gender and Political Ideology of Politicians in Panama.

.- Role of semantic technologies in engineering andragogy ecosystem.

.- Machine learning.

.- Identification of diabetic retinopathy from retinography images using a convolutional neural network.

.- Microservices architecture to improve the performance of Machine Learning applications in eHealth.

.- Leveraging Data Science and Machine Learning for Predictive Analysis in Organizational Decision-Making.

.- Detection of scoliosis in X-ray images using a convolutional neural network.

.- Software tools.

.- Monitoring Software Tool to Prevent Data Leaks in a RESTful API.

.- Evaluation of the tool visualization of Interaction tracking in collaborative work in a forum activity in Moodle.