Progress in Artificial Intelligence and Pattern Recognition
9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings
Herausgegeben:Hernádez Heredia, Yanio; Milián Núñez, Vladimir; Ruiz-Shulcloper, José
Progress in Artificial Intelligence and Pattern Recognition
9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings
Herausgegeben:Hernádez Heredia, Yanio; Milián Núñez, Vladimir; Ruiz-Shulcloper, José
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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.
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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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 16328
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89593293
- Seitenzahl: 446
- Erscheinungstermin: 19. Januar 2026
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032113573
- ISBN-10: 3032113571
- Artikelnr.: 75637409
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 16328
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89593293
- Seitenzahl: 446
- Erscheinungstermin: 19. Januar 2026
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032113573
- ISBN-10: 3032113571
- Artikelnr.: 75637409
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.- 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.
.- 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.
.- 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.
.- 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.







