Listar IC - Artículos por tipo "info:eu-repo/semantics/publishedVersion"
Mostrando ítems 1-20 de 41
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A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus
(IOAP-MPDI, 2021-02-16)Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose ... -
A Machine Learning Based Full Duplex System Supporting Multiple Sign Languages for the Deaf and Mute
(MDPI, 2023-02-28)This manuscript presents a full duplex communication system for the Deaf and Mute (D-M) based on Machine Learning (ML). These individuals, who generally communicate through sign language, are an integral part of our society, ... -
A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute
(IOAP-MDPI, 2022-12-29)first_pagesettingsOrder Article Reprints Open AccessArticle A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute by Muhammad Imran Saleem 1,2,*ORCID,Atif Siddiqui 3ORCID,Shaheena Noor ... -
A Novel System to Increase Yield of Manufacturing Test of an RF Transceiver through Application of Machine Learning
(IOAP-MDPI, 2023-01-08)Electronic manufacturing and design companies maintain test sites for a range of products. These products are designed according to the end-user requirements. The end user requirement, then, determines which of the proof ... -
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 ... -
Active Learning Methodology for Expert-Assisted Anomaly Detection in Mobile Communications
(IOAP-MDPI, 2022-12-23)Due to the great complexity, heterogeneity, and variety of services, anomaly detection is becoming an increasingly important challenge in the operation of new generations of mobile communications. In many cases, the ... -
An educational tool for understanding MPEG‐2 video compression and coding techniques
(Wiley, 2023)The understanding of the video encoding/decoding processes is a key skill for students of computer science, engineering, or telecommunications, especially those specialized in multimedia. The special characteristics of the ... -
An equivalent-circuit topology for lossy non-symmetric reciprocal two-ports
(IEEE Journal of Microwaves, 2021-07)An equivalent-circuit topology for two-port lossy non-symmetric reciprocal networks is proposed. The circuit topology is based on the eigenstate decomposition. The proposed circuit consists of two immittances and two ... -
Analytical design of compact multiband bandpass filters with multiconductor transmission lines and shunt open stubs
(MDPI, 2023-04-24)A compact topology for implementing compact multiband bandpass filters is presented in this paper. To achieve the desired frequency response, two identical short-circuited multiconductor transmission lines (MTLs) and ... -
Applications of the Internet of Medical Things to Type 1 Diabetes Mellitus
(IOAP-MDPI, 2023-02-02)Type 1 Diabetes Mellitus (DM1) is a condition of the metabolism typified by persistent hyperglycemia as a result of insufficient pancreatic insulin synthesis. This requires patients to be aware of their blood glucose level ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ...