Listar IC - Artículos por título
Mostrando ítems 21-40 de 106
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Assessing Functional Brain Network Dynamics in Dyslexia From fNIRS Data
(World Scientific, 2023-01-09)Developmental dyslexia is characterized by a deficit of phonological awareness whose origin is related to atypical neural processing of speech streams. This can lead to differences in the neural networks that encode audio ... -
Assessing Physical Activity and Functional Fitness Level Using Convolutional Neural Networks.
(Elsevier, 2019-12-01)Older adults are related to a reduction in physical functionality, as a result of a musculoskeletal system degeneration. In that way, physical exercise has been stated as a suitable intervention to prevent such health ... -
Asymptotically Exact Approximations for the Symmetric Difference of Generalized Marcum-Q Functions
(IEEE, 2015)In this paper, we derive two simple and asymptotically exact approximations for the function defined as ΔQm(a, b) =Δ Qm(a, b) - Qm(b, a). The generalized Marcum Q-function Qm(a, b) appears in many scenarios in communications ... -
Automatic alarm prioritization by data mining for fault management in cellular networks.
(Elsevier, 2020-05-30)Network management systems play an important role to deal with the large size and complexity of current cellular networks. Thus, operators and vendors focus much of their efforts on developing new techniques and tools for ... -
Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling.
(IEEE, 2020-03-27)A new method is proposed for the accurate experimental characterization and fully automated extraction of compact nonlinear models for Field-Effect Transistors (FETs). The approach, which leads to a charge-conservative ... -
Automatic Feature Selection Technique for Next Generation Self-Organizing Networks
(IEEE, 2018)Despite self-organizing networks (SONs) pursue the automation of management tasks in current cellular networks, the selection of the most useful performance indicators (PIs), used as inputs for SON functions, is still ... -
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 ... -
Beyond REM: A New Approach to the Use of Image Classifiers for the Management of 6G Networks
(MDPI, 2023-08-29)The management of cellular networks, particularly within the environment rapidly advancing to 6G, presents considerable challenges due to the highly dynamic radio environment. Traditional tools such as Radio Environment ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
(Elsevier, 2022-09)Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
Big Data Analytics for Automated QoE Management in Mobile Networks
(IEEE, 2019-08-01)Over the last years, there has been a significant increase in the number of services in mobile networks. This trend has forced operators to change their network management processes to ensure adequate user QoE, instead of ... -
Broadband parasitic modeling of diodes in the millimeter-wave band
(Elsevier, 2024-03-06)This paper presents the extraction of an equivalent circuit model for PIN diodes and varactors in the millimeter waves. This circuit model is handy for new communication applications involving, for example, electronic beam ... -
Building music with lego bricks and Raspberry Pi
(Springer, 2023)In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that technology ofers for making old things in a ... -
Characterization of a Piezoelectric Acoustic Sensor Fabricated for Low-Frequency Applications: A Comparative Study of Three Methods
(MDPI, 2023-03-02)Piezoelectric transducers are widely used for generating acoustic energy, and choosing the right radiating element is crucial for efficient energy conversion. In recent decades, numerous studies have been conducted to ... -
Ciphered BCH Codes for PAPR Reduction in the OFDM in Underwater Acoustic Channels
(IOAP-MDPI, 2022-01-10)We propose an effective, low complexity and multifaceted scheme for peak-to-average power ratio (PAPR) reduction in the orthogonal frequency division multiplexing (OFDM) system for underwater acoustic (UWA) channels. In ... -
Circular Optical Phased Array with Large Steering Range and High Resolution
(IOAP-MPDI, 2022-08-16)Light detection and ranging systems based on optical phased arrays and integrated silicon photonics have sparked a surge of applications over the recent years. This includes applications in sensing, free-space communications, ... -
Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
(IOAP-MPDI, 2022-03-30)The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication ... -
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
(Elsevier, 2022-01-05)Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain’s structural and functional organization. Network structure and efficiency reveal different ... -
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 ... -
Constrained IoT-based machine learning for accurate glycemia forecasting in Type 1 Diabetes patients
(MDPI, 2023-03-31)Individuals with diabetes mellitus type 1 (DM1) tend to check their blood sugar levels multiple times daily and utilize this information to predict their future glycemic levels. Based on these predictions, patients decide ... -
Cooperative Terrestrial-Underwater Wireless Optical Links by Using an Amplify-and-Forward Strategy
(IOAP-MPDI, 2022-03-23): In this paper, we analyze a combined terrestrial-underwater optical communication link for providing high-speed optical connectivity between onshore and submerge systems. For this purpose, different transmission signaling ...