Full Description
This book constitutes the refereed proceedings of the 8th International Conference, CITI 2022, held in Guayaquil, Ecuador, during November 14-17, 2022.
The 19 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: machine Learning; knowledge based systems; computer vision and image analysis; networks, monitoring and collaborative systems; apps and user interfaces.
Contents
Machine Learning.- A machine learning study about the vulnerability level of poverty in Perú.- Predicting academic performance in mathematics using machine learning algorithms.- Analysis of classification algorithms for the prediction of purchase intention in electronic commerce.- Knowledge based systems.- Alignment techniques in Domain-specific models.- IVRMaker, an Interactive and Customizable telephone Chatbot services platform.- Digital Transformation of Health Care Services: Médikal Case Study.- Computer vision and Image analysis.- Texture and Color-Based Analysis to Determine the Quality of the Manila Mango using Digital Image Processing Techniques.- Detection of motorcyclists without a safety helmet through YOLO: support for road safety.- Computer Vision-Based Ovitrap for Dengue Control.- Networks, monitoring and collaborative systems.- Performance analysis of Multipath TCP congestion control variants.- Data stream processing method for clustering of trajectories.- Low-Cost Energy Consumption Monitoring System using NodeMCU.- Trend of the use and investment of Blockchain technology in the banking sector in Ecuador.- Effectiveness of monitoring indicators in the architecture of a collaborative system.- IoT monitoring for real-time control of industrial processes.- Metric identification evaluating security information: A Systematic Literature Review.- Apps and user interfaces.- Evaluation of User Interface (UI) and User Experience (UX) for web services of a weather data monitoring platform.- Comparison of Free Android Mobile 3D Modeling Tools for AR Apps.- A Web App for Teaching Specialized English Vocabulary - Case of Study: Computer Sciences.
