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E-raamat: Progress in Artificial Intelligence and Pattern Recognition: 9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings

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This book constitutes the refereed proceedings of the 9th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2025, held in Varadero, Cuba, during October 14-17, 2025.



The 36 papers presented in the proceedings set were carefully reviewed and selected from 59 submissions.



The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artificial Intelligence and Pattern Recognition.
.- Computer Vision and Medical Imaging
 
.- From Pixels to Prognosis: An AI Framework for Volumetric RALE Scoring in
Post-COVID Chest CT .
.- Toward a Microstructure-Informed Streamline.
.- Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via
Ocular Cropping.
.- FGSSNet: Feature-Guided Semantic Segmentation of Real World Floorplans.
.- Temporal Integration with Confidence and Uncertainty Modeling for Robust
License Plate Recognition in Low-Quality Video Sequences.
 
.- Natural Language Processing and Generative AI
 
.- Generation of Software Requirements from User Feedback combining ML and
LLMs.
.- Automatic identification of ambiguities in software.
.- Generative AI-Based Virtual Assistant Using Retrieval-Augmented
Generation: An Evaluation Study.
.- Context-Aware Content-Based Recommendation System Combining Deep Learning
and Sentiment Analysis.
.- Time-Evolving Linguistic Decision Making: a feedback-enabled approach.
.- Continual Pretraining of a Small Language Model on Cuban Spanish Corpora.
.- Automated Ontology Extraction from Text for Content-Based Web
Personalization.
.- Towards Accurate and Legible Scene Text Generation in Spanish.
.- Multimodal Tattoo Recognition by Combining Visual Features and
LLM-Generated Captions.
.- An approach to generating knowledge-based explanations: a case study in
health.
.- Evaluation of Probabilistic Data Augmentation Models for Emotion Detection
in the TASS Corpus.
 
.- Forecasting, Optimization, and Economic AI
 
.- 1D Separable Convolutional Neural Network Architecture for Real-Time
Stellar Classification Based on Captured Spectral Characteristics.
.- Description of the closed loop of an object of interest.
.- A new approach for calculating the collective intensity of circumstances
of the same type in the M-LAMAC model.
.- A straight forward method for the optimisation ofthe electricity operating
cost of a waterdesalination plant under a variable tariff.
.- Detecting Economic Vulnerability via Multi-Agent LLM Architecture and
Context-Aware Cluster Analysis.
.- Feature selection for anomaly detection in banking transactions based on
Deep Learning and reconstruction error.
.- Machine learning-driven hybrid optimization algorithm for PID domain
constraints identification in servo control systems: balancing efficiency and
safety through neural network classifier.
.- Brief review on the application of semi-parametric survival analysis in
economics and finance.
.- Deep Learning for Space Situational Awareness: Addressing Kessler Syndrome
with Efficient Spacecraft Detection A Preliminary Result.
.- Forecasting the Consumer Price Index Using a Deep Learning Transformer
Model with an Attention Mechanism.
.- Forecasting Electrical Demand with zero-shot Lag Llama and TimesFM V2.
 
.- AI Methods, Systems, and Biosignals
 
.- Threshold Estimation for CNNs in Multi-label Historical Press
Classification via Particle Swarm Optimization.
.- Convolutional Neural Network for Burst Detection in Water Pipes.
.- A Methodology for the Generation and Evaluation of Tabular Synthetic Data:
A Case Study in Data Analysis in Intensive Care Units.
.- Fast Continuous Wavelet Transform (fCWT) at the edge: enabling the fCWT
computation in ARM Cortex cores.
.- Brain Mapping through Entropic Analysis.
.- Exploring the correlation between the type of music and the emotions
evoked: A study using subjective questionnaires and EEG.
.- Lightweight Neural Networks for Multi-modal and Cross-modal Biometric
Matching: Experimental Evaluation on Audio-Visual Data.
.- Proactive Frequency Forest: A Forest Construction Scheme Based on
Proactive Forest.
.- Implementation of a Neural Network in an embedded system for byrst
detection in water pipelines.