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Pilot Study: Algorithm-Based Assessment of Maxillary Sinus Volume in Zygomatic and Pterygoid Implant Planning [PDF]
Background/Objetives: Zygomatic implants are an effective solution for the prosthetic rehabilitation of atrophic maxillae, but their placement can alter maxillary sinus anatomy and influence surgical outcomes.
Pablo García Roza +5 more
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Sign Language Dataset for Automatic Motion Generation
Several sign language datasets are available in the literature. Most of them are designed for sign language recognition and translation. This paper presents a new sign language dataset for automatic motion generation.
María Villa-Monedero +4 more
doaj +1 more source
Intent recognition is a key component of any task-oriented conversational system. The intent recognizer can be used first to classify the user’s utterance into one of several predefined classes (intents) that help to understand the user’s current goal ...
Fernando Fernández-Martínez +5 more
doaj +1 more source
Emotion recognition is attracting the attention of the research community due to its multiple applications in different fields, such as medicine or autonomous driving.
Cristina Luna-Jiménez +5 more
doaj +1 more source
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning
Emotion Recognition is attracting the attention of the research community due to the multiple areas where it can be applied, such as in healthcare or in road safety systems. In this paper, we propose a multimodal emotion recognition system that relies on
Cristina Luna-Jiménez +5 more
doaj +1 more source
Sign Language Motion Generation from Sign Characteristics
This paper proposes, analyzes, and evaluates a deep learning architecture based on transformers for generating sign language motion from sign phonemes (represented using HamNoSys: a notation system developed at the University of Hamburg).
Manuel Gil-Martín +4 more
doaj +1 more source
Inteligencia artificial, técnicas de simulación, y su futuro en la ingeniería industrial
La creación de inteligencia artificial (en inglés AI) incluye entre varias cosas la creación de conjuntos de datos y el uso de métodos de análisis numérico para el aprendizaje automático (machine learning).
Eleazar Jimenez Serrano
doaj +1 more source
Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems
Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because the sampling of the data space is scarce and ...
José L. G. Pallero +6 more
doaj +1 more source
Aplicaciones de aprendizaje automático en salud
Resumen: El presente trabajo tiene por objetivo mostrar algunas aplicaciones recientes de aprendizaje automático en el área de la salud. El aprendizaje automático o machine learning es una rama de la inteligencia artificial que ha logrado grandes avances
Claudio Aracena +3 more
doaj +1 more source
El virus SARS-CoV-2 ha provocado que las universidades busquen nuevas alternativas tecnológicas con el propósito de mejorar la enseñanza y el aprendizaje bajo la modalidad a distancia.
Ricardo-Adán Salas-Rueda +4 more
doaj +1 more source

