Listar IC - Artículos por título
Mostrando ítems 1-20 de 49
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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
Imran Saleem, Muhammad; Siddiqui, Atif Ahmed; Noor, Shaheena; Luque-Nieto, Miguel Ángel
; Nava-Baro, Enrique (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 MATLAB program for the computation of the confluent hypergeometric function Φ2
Martos-Naya, Eduardo; Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier; París-Ángel, José Francisco (2016-09-22)
We here present a sample MATLAB program for the numerical evaluation of the confluent hypergeometric function Φ2. This program is based on the calculation of the inverse Laplace transform using the algorithm suggested by ... -
A New Framework for the Performance Analysis of Wireless Communications under Hoyt (Nakagami-q) Fading
Romero-Jerez, Juan Manuel; Lopez-Martinez, F. Javier (IEEE, 2017)
We present a novel relationship between the distribution of circular and non-circular complex Gaussian random variables. Specifically, we show that the distribution of the squared norm of a non-circular complex Gaussian ... -
A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute
Imran Saleem, Muhammad; Siddiqui, Atif Ahmed; Noor, Shaheena; Luque-Nieto, Miguel Ángel (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
Siddiqui, Atif Ahmed; Otero-Roth, Pablo; Zubair, Muhammad (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 ... -
Active Learning Methodology for Expert-Assisted Anomaly Detection in Mobile Communications
Trujillo, José Antonio; De la Bandera Cascales, Isabel; Burgueño Romero, Jesús; Palacios, David; Baena-Martínez, Eduardo (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
Fernández-Plazaola, Unai; Gómez-Paredes, Gerardo; López Martínez, F. Javier (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 enhanced symmetric-key based 5G-AKA protocol
Munilla-Fajardo, Jorge; Burmester, Mike; Barco-Moreno, Raquel (Elsevier, 2021)
5G technology is called to support the next generation of wireless communications and realize the “Internet of Everything” through its mMTC (massive Machine-Type-Communications) service. The recently standardized 5G-AKA ... -
Analytical design of compact multiband bandpass filters with multiconductor transmission lines and shunt open stubs
Pérez-Escribano, Mario; Márquez-Segura, Enrique; Sánchez-Martínez, Juan José (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 ... -
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 ... -
Asymptotically Exact Approximations for the Symmetric Difference of Generalized Marcum-Q Functions
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 ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
Ariza Cervera, Isaac; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres Garcia, Irene; Barbancho-Pérez, Isabel (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 ... -
Building music with lego bricks and Raspberry Pi
Barbancho, Ana María; Tardón, Lorenzo José; Barbancho, Isabel (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
Murad, Mohsin; Tasadduq, Imran A.; Otero-Roth, Pablo (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
Murad, Mohsin; Tasadduq, Imran A.; Otero-Roth, Pablo (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
Gallego Molina, Nicolás Jesús; Ortiz-García, Andrés; Martínez Murcia, Francisco Jesús; Giménez-de-la-Peña, Almudena; Formoso Trigo, Marco Antonio (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 ...