Technologies and Innovation

Technologies and Innovation

10th International Conference, CITI 2024, Guayaquil, Ecuador, November 11-14, 2024, Proceedings

Valencia-Garcia, Rafael; Del Cioppo-Morstadt, Javier; Moran-Castro, Cesar Ernesto; Vera-Lucio, Nestor; Borodulina, Tamara

Springer International Publishing AG

12/2024

230

Mole

9783031757013

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.
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Artificial intelligence;Machine Learning;Natural language processing;Semantic Web;Text classification;Computer vision;Knowledge-based systems;image processing;ontologies;e-health;data leaks;agriculture