Advances in Computing 18th Colombian Conference on Computing, CCC 2024, Manizales, Colombia, September 4–6, 2024, Revised Selected Papers, Part I

This two-volume set CCIS 2208-2209 constitutes revised selected papers from the refereed proceedings of the 18th Colombian Congress on Computing, CCC 2024, held in Manizales, Colombia, during September 4-6, 2024.

The 50 full papers and 5 short papers included in this book were carefully reviewed and selected from 124 submissions. They were organized in topical sections as follows: Artificial Intelligence; Pattern recognition and computer vision; Computational statistics and formal methods; Cyber security and information security; Data, information and knowledge; ICT for education and e-Learning; Industry 4.0 and digital transformation; Software engineering and automation.

.- Artificial Intelligence.
.- Neuropathic Pain Detection through Embedding Synergies of Deep Language and Image Models.
.- Detection of depressive symptomatology in written narratives in Spanish using machine learning and semantic ontology.
.- Unveiling Tourist Profiles in the Department of Sucre: A Text Analysis Approach.
.- Ethical norms and literary visions: A comparative analysis of Artificial Intelligence in regulatory frameworks and science fiction.
.- Application of Artificial Intelligence to Stock Market Investments: RSI Analysis with Genetic Algorithms and Neural Networks.
.- A Study of U-Net-based Architectures for Segmenting COVID-19 Lung Lesions.
.- Hyperparameter Optimization of Multi-Layer Perceptron-based Predictors.
.- Emotional BDI Model (eBDI) of the Peasants Families WellProdSim Social Simulator.
.- Pattern recognition and computer vision.
.- Analysis of Pre-Trained Convolutional Neural Network Models in Diabetic Macular Edema Detection Through Retinal Fundus Images.
.- Gaussian Mixture Connectivity with Alpha-Renyi Regularization for EEG-based MI Classification.
.- Optimisation of User Interaction for the Calculation of the Cobb Angle in Lumbar Spine MR Images.
.- Implementation of Convolutional Neural Networks for Automated Disease Detection in Cucumber Crops.
.- Automatic Disease Detection in Physalis Peruviana Based on Image, a review systematic.
.- Computational statistics and formal methods.
.- On missing values and the imputation in learning neural networks.
.- Formalisation of Hall’s Theorem for Countable Infinite Graphs.
.- Efficient Strategies for Finding the Minimum Information Partition in Integrated Information Theory 3.0.
.- Decomposition models for agricultural commodity price time series: A comparative research.
.- Cyber security and information security.
.- Feature Selection in Machine Learning-Based IDS Performance.
.- Exploring Advanced Deep Learning Methods for Image Steganography: New Approaches to Concealing Videos Within Videos.
.- Automated Machine Learning Prototype for Detecting Phishing, Deepfakes, and Fraudulent Audio Patterns: A Systematic Literature Mapping.
.- Entropy wall for symmetric cryptographic key generation through frame processing.
.- Transparency and security in tourism: exploring the potential of blockchain technology.
.- Vulnerability analysis of IoT devices (IP cameras) in Oca˜na Norte de Santander.
.- Safeguarding Connected Autonomous Vehicles: A Cybersecurity Perspective.