Listar por tema "Deep Learning"
Mostrando ítems 1-5 de 5
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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 ... -
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 ...
