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E-raamat: Applications of Computational Intelligence: 8th IEEE Colombian Conference, ColCACI 2025, Armenia, Colombia, August 27-29, 2025, Revised Selected Papers

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Applications of Computational Intelligence: 8th IEEE Colombian Conference, ColCACI 2025, Armenia, Colombia, August 27-29, 2025, Revised Selected PapersSuurem pilt

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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 2729, 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
ReactorSeparatorRecycle 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.
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