Ingeniería de Comunicaciones - (IC): Envíos recientes
Mostrando ítems 41-60 de 594
-
EEG Signal Analysis for the Detection of Spoken Language Comprehension
(2022-09)The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those ... -
Technology for exergames: Arduino-based reactive floor
(2022-09)Studies conducted by the World Health Organization (WHO) indicate that most adolescents do not perform enough physical activity, endangering their current and future health; also, elder persons gain great benefit from ... -
Composite Fading Models Based on Inverse Gamma Shadowing: Theory and Validation.
(IEEE, 2021-03-17)We introduce a general approach to characterize composite fading models based on inverse gamma (IG) shadowing. We first determine to what extent the IG distribution is an adequate choice for modeling shadow fading, by ... -
Wireless backhaul: Performance Modelling and Impact on User Association for 5G.
(IEEE, 2018-02-22)Wireless technology is the strongest contender for catering for the 5G backhaul (BH) stipulated performance, where optical fiber is unavailable. In the presence of ultra-dense networks, such occurrences are exponentially ... -
A wideband equivalent circuit for stripline-fed cavity-backed slot radiating elements
(IEEE, 2019-11)An equivalent circuit for stripline-fed cavity-backed slot radiating elements is proposed. The proposed equivalent circuit consist of a transmission line model for the slot mode, a slot end-effect which includes the ... -
An Extension of the κ -μ Shadowed Fading Model: Statistical Characterization and Applications.
(IEEE, 2017-12-25)We here introduce an extension and natural generalization of both the κ-μ shadowed and the classical Beckmann fading models: the Fluctuating Beckmann (FB) fading model. This new model considers the clustering of multipath ... -
Bi-LSTM Neural Network for EEG-based detection of musical characteristics
(2023)Electroencephalography (EEG) combined with Deep Learning and digital signal processing allows for mental activity recognition. In our study, a new feature extraction model-based is presented when combined with Bi-LSTM ... -
Identifying HRV patterns in ECG signals as early markers of dementia
(Elsevier, 2023-12-15)The appearance of Artificial Intelligence (IA) has improved our ability to process large amount of data. These tools are particularly interesting in medical contexts, in order to evaluate the variables from patients’ ... -
Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
(IEEE, 2020-01-01)Many classical machine learning techniques have been used to explore Alzheimer’s Disease, evolving from image decomposition techniques such as Principal Component Analysis towards higher-complexity, non-linear decomposition ... -
Surface-emitting antennas for optical phased arrays based on silicon waveguides
(UMA Editorial, 2023)Las antenas ópticas integradas son elementos fundamentales para muchas aplicaciones, como las interconexiones ópticas, los sistemas LIDAR en chip, la teledetección y las comunicaciones ópticas en espacio libre. Normalmente, ... -
Modelos de aprendizaje automático basados en información de contexto espaciotemporal para redes celulares autoorganizadas
(UMA Editorial, 2023)Los avances tecnológicos han aumentado las expectativas de los usuarios en términos de velocidad y estabilidad de la conexión. El contexto del usuario, como la ubicación y el momento de uso de la red, afecta su experiencia ... -
Energy-Efficient Routing Protocols for Ad Hoc Underwater Sensor Networks.
(UMA Editorial, 2023)Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. The use of UWSNs offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) ... -
A Low-Complexity Spectral Shaping Method for OFDM Signals with Dynamically Defined Emission Mask: Optimization Procedure.
(2023)The low spectral confinement of orthogonal frequency division multiplexing (OFDM) signals obliges OFDM based power line communications (PLC) systems to use out-of-band emissions (OOBE) reduction methods in order to comply ... -
Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern.
(World Scientific, 2023-02-16)he prevalence of dementia is currently increasing worldwide. This syndrome produces a deteriorationin cognitive function that cannot be reverted. However, an early diagnosis can be crucial for slowing itsprogress. The Clock ... -
PCA filtering and Probabilistic SOM for Network Intrusion Detection.
(Elsevier, 2015-09-21)The growth of the Internet and, consequently, the number of interconnected computers, has exposed significant amounts of information to intruders and attackers. Firewalls aim to detect violations according to a predefined ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
(World Scientific, 2016-08-01)Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
Feature selection by multi-objective optimization: application to network anomaly detection by hierarchical self-organizing maps.
(Elsevier, 2014-08-20)Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ... -
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease.
(World Scientific, 2020-08-12)Finding new biomarkers to model Parkinson’s Disease (PD) is a challenge not only to help discerning between Healthy Control (HC) subjects and patients with potential PD, but also as a way to measure quantitatively the loss ... -
Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
(Elsevier, 2020-01-07)Despite subjects with Dominantly-Inherited Alzheimer’s Disease (DIAD) represent less than 1% of all Alzheimer’s Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact ... -
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
(World Scientific, 2023-02-18)The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ...