8^th International Conference on Applied Informatics

8 to 11 October 2025
Université Mohammed VI Polytechnique
Ben Guerir, Morocco

Accepted Papers

Artificial Intelligence

• Cognitive Architecture for learning in Autonomous Agents: A Study in Discrete Navigation
  Jorge Hernandez, María F. Pollo-Cattaneo, Diego Peluffo, Hector Florez
• Conversational System for Feline Behavior Analysis using Retrieval-Augmented Generation
  Jimmy Fernandez-Clavijo, Ixent Galpin
• From Text to Decision: A GenAI Framework for Strategic Evaluation of Funding Opportunities
  Yeersainth Figueroa-Gómez, Ixent Galpin
• Multifactorial Modeling of High-impact Crime Reporting in Colombian Municipalities Using Machine Learning Techniques
  Juan David Roncancio Chavarro, Sandra Patricia Barragán Moreno, Leandro González Támara
• Systematic Review of Artificial Intelligence Applications in the Stability Assessment of Volcanic Caves
  Josué Briones-Bitar, Ruben Galindo, Luis Jordá-Bordejore, Paúl Carrión-Mero
• Thermal Behavior Analysis in Wind Turbines using Statistical Methods and Artificial Intelligence Techniques
  Leandro L. Lorente-Leyva, Yorley Arbella-Feliciano, Roberto Pérez-Rodríguez, Diego H. Peluffo-Ordóñez

Data Analysis

• A Bin-Packing strategy for scaling electricity consumption in scenarios with distributed generation
  Frederico Ribeiro, Brunno Bachmann, Erich Potrich, Raphael Gomes
• A Hybrid Machine Learning Approach to Predict Barrier Profiles in Youth with Physical Disabilities
  Julian Andres Quimbayo Castro, Jose Miguel Llanos Mosquera, Alvaro Hernan Alarcon Lopez, Edisney García Perdomo, Willians Aguilar Rodriguez
• Analyzing Retrieval Scaling in RAG Systems for Complex QA Benchmarks
  Jhon Rayo, Rubén Manrique
• Comparison of popular machine learning models for pandemic prediction
  Sunday Adeola Ajagbe, Smanga Buthelezi, Pragasen Mudali, Matthew O. Adigun
• Introducing an IoT-based strategy to measure athletes in field testing automatically
  Daniel Alejandro Choco Carabali, Juan Sebastian Serrano Fontecha, Daniel Santiago Forero Arévalo, Asfur Barandica Lopez, Fernando Yepes Calderón
• Strategic Design and Optimization of Logistics Networks in Mexico: A Multivariate Analysis Approach
  Mariángel García-Tarango, José Alejandro Jano-Pérez, Santiago-Omar Caballero-Morales

Decision Systems

• A Lightweight Deep Feature Fusion and PCA-Optimized Random Forest Framework for Multi-Class Potato Leaf Disease Classification
  Roseline Ogundokun, Pius Owolawi, Etienne Van Wyk
• A Semi-Automatic Method for Topic Discovery and Trend Analysis Across Text Corpora
  Fernando Muraca, María F. Pollo-Cattaneo, Hernán Astudillo
• Comparison of Statistical, Machine Learning, and AI-Based Models for Bitcoin (BTC) Price Prediction: A Multi-Algorithmic Evaluation
  Christiam Alejandro Niño Peña, Jorge Aurelio Herrera Cuartas
• Distributed Semantic Cache Coordination for Retrieval-Augmented Generation Systems
  Hardik Ruparel, Tatsat Patel
• Preliminary Evaluation of Vision-Language Models for Fall Detection
  Oumaima Guendoul, Adil Bahaj, Youness Tabii, Rachid Oulad Haj Thami
• Transforming Business Strategies with AI-Driven Pre-dictive Analytics and Ethical Data Practices
  R. Sathish, P. Kanimozhi, Temitope Adeyanju, Adekunle O. Ejidokun, T. Ananth Kumar, Sunday Adeola Ajagbe, Matthew O. Adigun

Geoinformatics

• Evaluating the Role of Density-Based Spatial Clustering in Enhancing Wildfire Classification: A Case Study in Maule, Chile
  Ernesto Eduardo Vivanco Tapia, Hernán Astudillo

Image Processing

• A Comparative Analysis of Deep Transfer Learning and Traditional Handcrafted Feature Approaches for Kidney Disease Classification using Random Forests
  Roseline Ogundokun, Pius Owolawi, Etienne Van Wyk
• AI in Clinical Research: Menacing Disruption or Catalyst for Cognitive Breakthroughs?
  Fernando Yepes Calderón, J. Gordon McComb
• Comparative Analysis of Deep Learning Models for NIR Reconstruction from RGB Images in Precision Agriculture
  Christian Unigarro, Hector Florez

Interdisciplinary Information Studies

• Evaluating the Efficacy of a Predictive Algorithm for Forecasting Dropout Risk in First-Year Programming
  Jose Miguel Llanos-Mosquera, Julian Andres Quimbayo-Castro, Edisney Garcia-Perdomo, Alvaro Hernan Alarcon-Lopez
• Poverty's non-linear dynamics: Machine learning analysis of inequality and remittances in Ecuador
  Marcos Espinoza, Alejandra Colina
• Socioeconomic Factors Influencing Consumer Credit Demand in Mexico
  Cristina-Lucero Ixehuatl-Gonzalez, Andrea Moreno-Coello, Santiago-Omar Caballero-Morales

Learning Management Systems

• AutoTag & TagMap: LLM-powered Moodle Plugins for Pedagogical Alignment Checks
  Christian Grévisse, Claude Braun, José Batista da Costa
• Intelligent Virtual Assistant to Facilitate Learning in In-ternational Trade Contexts
  Angel Fiallos, Erika Anton

Natural Language Processing

• Enhancing Hate Speech Detection in Social Media Images Using Deep Learning and Synthetic Datasets
  Nontokozo Manukuza, Skhumbuzo Zwane, Matthew Adigun
• ESNLIR: Expanding Spanish NLI Benchmarks with Multi-Genre and Causal Annotation
  Johan David Rodríguez Portela, Nicolás Pérez Terán, Rubén Francisco Manrique Piramanrique
• Exploring multimodal humor detection in Latin-American Spanish with LS-FUNNY
  Eduardo Herrera-Alba, Rubén Manrique
• Fine-Grained Emotion Classification in Reddit Mental Health Posts using LLMs
  Ixent Galpin, Valery Pamela Orjuela-Llanos
• Optimizing Multimodal Language Models through Attention-based Interpretability
  Alexander Sergeev, Evgeny Kotelnikov

Robotic Autonomy

• Evaluating LLM-Based Autonomous Agent Architectures for Task Execution with Social Robots
  David Cuevas, Ruben Manrique
• Evaluating the RISCV-EC: A Comparative Analysis of Instruction Efficiency and Power Performance for Edge Computing
  Víctor Asanza, Guillermo Montesdeoca, Rebeca Estrada, Dagoberto Mayorca-Torres, Moad Hicham Safhi, Diego Hernán Peluffo-Ordóñez
• ROS2 pipeline for open-vocabulary object detection and 3D reconstruction on Jetson Orin Nano
  Sergio Oliveros, Rubén Manrique

Software Design Engineering

• A Methodological Framework for Analyzing the Impact of Changes in Software Projects
  María C. Tafur-Preciado, Alix E. Rojas, Hector Florez

Organized by

Sponsored by