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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.
.- 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.
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