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Hernádez Heredia / Milián Núñez / Ruiz-Shulcloper

Progress in Artificial Intelligence and Pattern Recognition

9th International Congress, IWAIPR 2025, Varadero, Cuba, October 14-17, 2025, Proceedings

Medium: Buch
ISBN: 978-3-032-11357-3
Verlag: Springer
Erscheinungstermin: 03.02.2026
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783032113573
  • Medium: Buch
  • ISBN: 978-3-032-11357-3
  • Verlag: Springer
  • Erscheinungstermin: 03.02.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert, Paperback
  • Gewicht: 709 g
  • Seiten: 446
  • Format (B x H x T): 155 x 235 x 26 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

.- 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.