Information and Communication Technologies
Description
This book constitutes the refereed proceedings of the 13th Ecuadorian Conference on Information and Communication Technologies, TICEC 2025, held in Quito, Ecuador, during October 16-17, 2025.
The 30 full papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Artificial Intelligence and Data Science; E-Learning; ICT Applications; Software; and Doctoral Consortium.
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Content
.- Artificial Intelligence and Data Science.
.- Combining Synthetic Minority Over-sampling Technique and Multinomial Naive Bayes for Sentiment Analysis on Imbalanced Social Media Datasets.
.- Stance-EC: A Spanish Dataset of Political Discourse on X/Twitter for Stance Detec-tion.
.- Data Science for the Analysis and Prediction of Energy Consumption in an Industrial Processing Plant.
.- Unveiling Seasonal Air Pollution Patterns with Data Mining.
.- Enriching Dataset Metadata with LLMs to Unlock Semantic Meaning.
.- Satellite Tile Extraction for Agricultural Monitoring Models Based on Computer Vi-sion and Deep Learning.
.- Boosting Automatic Speech Recognition Performance for Noisy Emergency Calls with Hybrid Processing Techniques.
.- E-Learning.
.- CARE+: A Methodology for AI-Enhanced Learning that Develops 21st Century Competencies.
.- Wellness-Aware Course Allocation: A Data-Driven Framework for Assigning Subjects to University Professors.
.- Implementation of LLM-based Chatbots for Academic Support in Higher Education Institutions: A Case Study.
.- Automated Advisor Matching for Student Theses Using Transformer-Based Topic Modeling.
.- Optimizing Learning Analytics in Serious Games: Reengineering the MIDI-am Dash-board.
.- A Data Integration Framework to Support Accreditation and Strategic Evaluation in Higher Education Institutions: A Case Study in Ecuador.
.- ICT Applications.
.- AI-BananaMapping: A Drone-Based Remote Sensing System for the Automatic Detection of Moko and Black Sigatoka in Banana Crops.
.- Air Quality Analysis in Educational Environments Through an IoT-based Monitoring System.
.- State of the Art of CAPTCHA as a Security Mechanism: Current Challenges and New Perspectives in Human Identification.
.- A Machine Learning and SUMO-Based Framework for CO2 Emission Prediction in Urban Areas with Web Application Deployment.
.- GPT-Based Semantic Similarity Analysis for Enhanced Emergency Call Response.
.- Machine Learning Algorithms for Predicting Agricultural Crop Production and Sales in Ecuador.
.- Software.
.- GR-orbit-toolkit: A Python-Based Software for Simulating and Visualizing Relativ-istic Orbits.
.- A Systematic Literature Review on the Security Weaknesses of Fully Homomorphic Encryption Schemes.
.- A Domain-Specific Language and Model-Based Engine for Implementing Container Infrastructures for Data Science Applications.
.- Systematic Literature Review on Innovative Techniques for Malware Prevention in Superapps: A Focus on Miniapp Threats.
.- Numerical Performance Analysis of the Direct and Barnes-Hut Algorithm for Solving the N-Body Problem.
.- Doctoral Consortium.
.- Toward an Integrated Architecture for Personalized Learning: Combining Generative AI, Gamification, and UX.
.- Model-Driven Intelligent User Interfaces Using Machine Learning.
.- Multimodal Framework for supporting diagnosis and intervention of excessive use of social networks by university students.
.- Toward a Robust and Enhanced DevSecOps Framework.
.- Cost-efficient SQL Engines for Big Data queries based on EMR Clusters.
.- A Proposed Methodology for Semantic Alignment and Specialization of Pre-trained Multilingual Embeddings Using Mixture-of-Experts and Contrastive Learning for Legal Text Retrieval in Ecuador.