Description
This book constitutes the revised selected extended papers of the 8th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025, held in Armenia, Colombia, during August 27 29, 2025.
The 17 full papers were carefully reviewed and selected from 61 submissions. They explore various topics in the area of computational intelligence (CI), such as control applications, microseismical signal analysis, optimization problems, industry, agriculture, and biomedical engineering problems.
.- Computational Psychometrics for Ethical Digital Adaptation: A Hybrid Framework Integrating Personality Modeling and Behavioral Telemetry.
.- Systematic Tuning and Experimental Validation of a Nonlinear PID Controller for Temperature Process Tracking.
.- Multiclass Seismic Focal Mechanism Classification Using Metaheuristic-Based Wrapper Strategies and Shallow Learning Classifiers.
.- Automatic Seismic Event Classification Using Transformer Models.
.- Quasi-Dynamic Power Flow Techniques for Monopolar DC Networks Using the Newton-Raphson and Quasi-Newton Algorithms.
.- Toward Non-Invasive Speech Evaluation: Supervised and Unsupervised AI Methods for Detecting Cleft Lip from Audio.
.- PSO Tuning of Fuzzy Multi-Model Sliding Mode Controller for Thermal Process.
.- Generalist algorithms based on Automatic Algorithm Generation applied to the multidimensional knapsack problem.
.- Full State Observer versus NARX-Based as Soft Sensor for Reactor Separator Recycle Process Control.
.- Optimizing Solar Cell Parameters with the Atan-Sinc Optimization Algorithm Applied to the Three-Diode Model.
.- Architectural Design of Decentralized Multi-Agent Systems: The Agent Squad Framework Approach.
.- A Software Architecture for Predictive Maintenance Based on Monitoring and Machine Learning in the Mining Industry.
.- Machine Learning Classification of Effluent Quality in Wastewater Treatment.
.- Exploration of machine learning models in a chili pepper irrigation system.
.- A Cost-Sensitive Hybrid Deep Learning Architecture for Intelligent Non-Technical Loss Detection.
.- Real-Time Automatic Control Techniques for a Portable Chemical Reactor Using LabVIEW.
.- Efficient Multimodal Graph-Based Machine Learning for Depression Detection Using Feature Selection.
