Listar por tema "Deep Learning"
Mostrando ítems 1-10 de 10
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An Adaptive Framework for Resource Allocation Management in 5G Vehicular Networks
(UNIR, 28/11/2025)Vehicle-to-everything (V2X) communication is crucial in vehicular networks, for enhancing traffic safety by ensuring dependable and low latency services. However, interference has a significant impact on V2X communication ... -
Attention Embedded Residual Bottleneck CNN Architecture for Breast Cancer Diagnosis in Ultrasound Images
(UNIR, 28/11/2025)Breast cancer (BrC) stands as the predominant cancer among women, resulting in a substantial global mortality toll each year. Early detection plays a pivotal role in diminishing mortality rates. Manual diagnosis of BrC is ... -
Estudio de arquitecturas para la extracción y explotación de datos de defectos superficiales mediante técnicas de Deep Learning
(26/07/2018)En este trabajo se realiza un estudio de arquitecturas de extracción y explotación de datos sobre defectos superficiales producidos en la laminación del acero mediante técnicas de Deep Learning, así como el almacenamiento ... -
Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality
(UNIR, 01/06/2025)Augmented reality (AR) has become a powerful tool for assisting operators in complex environments, such as shop floors, laboratories, and industrial settings. By displaying synthetic visual elements anchored in real ... -
Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach
(UNIR, 01/09/2025)Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ... -
Multi-Class Dental CBCT Segmentation in Data- Constrained Scenarios Through Transformers
(UNIR, 26/03/2026)Accurate segmentation of dental structures from cone-beam computed tomography (CBCT) images has become an active research field due to the widespread use of this technology in clinical practice. In recent years, contributions ... -
Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction
(UNIR, 01/03/2025)Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ... -
Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
(UNIR, 01/06/2025)Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This ... -
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
(UNIR, 01/06/2025)The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ... -
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data
(UNIR, 01/03/2025)Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
