Synopsis
Formulation of Fuzzy Random Regression Model.- Evolutionary Multiobjective Neural Network Models Identification: Evolving Task-Optimised Models.- Structural Learning Model of the Neural Network and its Application to LEDs Signal Retrofit.- Robustness of DNA-based Clustering.- Advances in automated neonatal seizure detection.- Design of Fuzzy Relation-Based Image Sharpeners.- Application of Fuzzy Logic and Lukasiewicz Operators for Image Contrast Control.- Low Complexity Situational Models in Image Quality Improvement.- A flexible representation and invertible transformations for images on quantum computers.- Weakly supervised learning: application to fish school recognition.- Intelligent Spaces as Assistive Environments: Visual fall detection using an evolutive algorithm.
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