Listar IC - Artículos por título
Mostrando ítems 58-77 de 103
-
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 ... -
Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices
(Elsevier, 2023-09-22)The chronic metabolic condition, Type 1 diabetes mellitus (DM1), is marked by consistent hyperglycemia due to the body's inability to produce sufficient insulin. This necessitates the patient's daily monitoring of blood ... -
Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers.
(Elsevier, 2019-05-01)In the immediate future, with the increasing presence of electrical vehicles and the large increase in the use of renewable energies, it will be crucial that distribution power networks are managed, supervised and exploited ... -
High-Performance Bimodal Evanescent-Field Sensor with Coherent Phase Readout
(IEEE, 2023-12-13)By comparing optical signals travelling through a sensing and a reference arm, interferometric photonic sensors achieve remarkable sensitivities and detection limits using sim- ple single-wavelength laser sources. Sensors ... -
Hybrid genetic algorithm for clustering IC topographies of EEGs
(Springer, 2023)Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where ... -
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’ ... -
Improving Cell Outage Management Through Data Analysis
(IEEE, 2017-02-13)Self-Organizing Networks (SON) is an important feature for network management automation in the new generation of mobile communications. While SON have been considered as part of the recent 3rd Generation Partnership ... -
IoMT innovations in diabetes management: Predictive models using wearable data
(Elsevier, 2023-10-09)Diabetes Mellitus (DM) represents a metabolic disorder characterized by consistently elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM (DM1) constitutes the insulin-dependent manifestation ... -
Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
(Elsevier, 2018-10-16)Parkinsonism is the second most common neurodegenerative disease in the world. Its diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) images acquired using 123I − io f lupane radiotracer. ... -
Low-Complexity Distance-Based Scheduling for Multi-User XL-MIMO Systems.
(IEEE, 2021-08-02)We introduce Distance-Based Scheduling (DBS), a new technique for user selection in downlink multi-user communications with extra-large (XL) antenna arrays. DBS categorizes users according to their equivalent distance ... -
Measurement-based FET analytical modeling using the nonlinear function sampling approach
(IEEE Microwave and Wireless Components Letters, 2020-12)A novel and fast method for the measurement-based identification of an analytical FET compact model from large- signal waveforms is presented. Based on a two-tone two-port experiment, a recently published Nonlinear Function ... -
Measuring and estimating Key Quality Indicators in Cloud Gaming services
(Elsevier, 2023)The gaming industry has proposed the concept of Cloud Gaming (CG), a paradigm that enhances the gaming experience on reduced hardware devices. However, this paradigm puts a lot of pressure on the communication links that ... -
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 ... -
Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter
(IOAP-MPDI, 2021-02-06)The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF) are widely used in underwater multi-sensor fusion applications for localization and navigation. Since these filters are designed ... -
Multinode component carrier management: multiconnectivity in 5G
(IEEE, 2021)From its conception, 5G has been designed to support a wide variety of service types, ranging from enhanced mobile broadband (eMBB) to ultra-reliable low-latency communications (URLLC). To overcome the disparity of their ... -
On the Calculation of the Incomplete MGF with Applications to Wireless Communications
(IEEE, 2017)The incomplete moment generating function (IMGF) has paramount relevance in communication theory, since it appears in a plethora of scenarios when analyzing the performance of communication systems. We here present a general ... -
On the Improvement of Cellular Coverage Maps by Filtering MDT Measurements
(IEEE, 2023-07-01)In cellular systems, network re-planning aims to update network configuration to cope with permanent changes in the environment. In this task, terminal measurements are often used to calibrate performance models integrated ... -
On-Chip Metamaterial Antenna Array with Distributed Bragg Deflector for Generation of Collimated Steerable Beams
(WILEY, 2022-07-03)The generation of collimated steerable beams of light is a fundamental function in optics needed in many applications, including free-space optical communications, remote sensing, and light detection and ranging. Implementing ... -
Online Anomaly Detection System for Mobile Networks
(MDPI, 2020)The arrival of the Fifth-Generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are being currently deployed ... -
Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes
(Hindawi Publishing Corporation, 2016)Underwater wireless sensor networks (UWSNs) are a promising technology to provide oceanographers with environmental data in real time. Suitable network topologies to monitor estuaries are formed by strings coming together ...