Listar IC - Artículos por título
Mostrando ítems 33-52 de 106
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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 ... -
Coordinated Multicast/Unicast Transmission on 5G: A Novel Approach for Linear Broadcasting
(Springer, 2021-09-16)Linear broadcasting services, with a scheduled programming, constitute a paramount tel-ecommunication service for today’s society. Although the existing technology is mature, current linear broadcast ... -
A data-driven scheduler model for QoE assessment in a LTE radio network planning tool
(2019-11-19)The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator ... -
Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading.
(Elsevier, 2021-09-10)Evaluation and diagnosis of retina pathology is usually made via the analysis of different image modalities that allow to explore its structure. The most popular retina image method is retinography, a technique that displays ... -
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
(Bentham Science, 2018-01-01)Feature extraction in medical image processing still remains a challenge, especially in high-dimensionality datasets, where the expected number of available samples is considerably lower than the dimension of the feature ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
(World Scientific, 2020-06-04)Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually ... -
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
(International Journal of Neural Systems, 2023)While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
(World Scientific, 2018-10-16)Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain representative ... -
End-launcher repeatability in broadband methods for characterization of the propagation constant of transmission lines using two-port measurements.
(IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022-04-09)This work presents an analysis of the influence of connector repeatability in three different methods for estimating the propagation constant of transmission lines from two-port measurements. For this purpose, the repeatability ... -
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification.
(Springer, 2023-09-11)The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this ... -
An energy-efficient integration of a digital modulator and a Class-D amplifier
(MDPI, 2020-08-16)Energy consumption is always a key feature in devices powered by electric accumulators. The power amplifier is the most energy-demanding module in mobile devices, portable appliances, static transceivers, and even nodes ... -
Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks
(MDPI, 2021-06-25)Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. Maintaining adequate power consumption is one of the critical ones, for obvious reasons. This includes proper energy consumption ... -
Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process
(IOAP-MDPI, 2022-11-18)The use of underwater sensor networks (UWSNs) offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) and registering of geological events (landslides, earthquakes). ...