ListarIC - Artículos por tema "Machine learning"
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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 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 ... -
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 ... -
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 ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez, Javier; Górriz-Sáez, Juan Manuel; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos[et al.] (Elsevier, 2017-12-11)
Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ... -
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 ... -
Identifying HRV patterns in ECG signals as early markers of dementia
Arco, Juan E.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Arroyo-Alvis, Katy; López-Pérez, P. Javier (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’ ... -
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 ... -
Measuring and estimating Key Quality Indicators in Cloud Gaming services
Baena, Carlos; Peñaherrera-Pulla, Oswaldo Sebastián; Barco-Moreno, Raquel; Fortes-Rodríguez, Sergio (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.
Castillo-Barnes, Diego; Martínez-Murcia, Francisco J.; Ortiz-García, Andrés; Salas-González, Diego; Ramírez, Javier; Górriz-Sáez, Juan Manuel[et al.] (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 ... -
Tiled Sparse Coding in Eigenspaces for Image Classification.
Arco, Juan E.; Ortiz-García, Andrés; Ramírez, Javier; Zhang, Yu-Dong; Górriz-Sáez, Juan Manuel (World Scientific, 2021-12-30)
The automation in the diagnosis of medical images is currently a challenging task. The use of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially in situations when hospitals are ... -
Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern.
Jiménez-Mesa, Carmen; Arco, Juan E.; Valentí-Soler, Meritxell; Frades-Payo, Belén; Zea-Sevilla, María A.; Ortiz-García, Andrés; Ávila-Villanueva, Marina; Castillo-Barnes, Diego; Ramírez, Javier; Del-Ser-Quijano, Teodoro; Carnero Pardo, Cristóbal; Górriz-Sáez, Juan Manuel[et al.] (World Scientific, 2023-02-16)
he prevalence of dementia is currently increasing worldwide. This syndrome produces a deteriorationin cognitive function that cannot be reverted. However, an early diagnosis can be crucial for slowing itsprogress. The Clock ...