Progress in Artificial Intelligence and Pattern Recognition
Springer International Publishing (Verlag)
978-3-032-11357-3 (ISBN)
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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
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XX, 446 p. 134 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Applied Computing • Artificial Intelligence • computer vision • Deep learning • information extraction • Knowledge Representation and Reasoning • Learning Paradigms • machine learning approaches • Natural Language Generation • Natural Language Information • Natural Language Processing • Neural networks • pattern recognition |
| ISBN-10 | 3-032-11357-1 / 3032113571 |
| ISBN-13 | 978-3-032-11357-3 / 9783032113573 |
| Zustand | Neuware |
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