Listar por tema "Machine learning"
Mostrando ítems 1-20 de 54
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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 cross-dataset evaluation of wearable fall detection systems
(2022-05)The popularity of wearables and their seamless integration into our daily lives have transformed these devices into an appealing resource to deploy automatic fall detection systems. During last years, a massive literature ... -
A generic LSTM neural network architecture to infer heterogeneous model transformations.
(2023)Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
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 methodology for the development of soft sensors with Kafka-ML
(Springer, 2023)Advances in the Internet-of-Things (IoT) field have allowed a wide variety of devices to be connected and send information continuously to the Internet. Thanks to this increase in data communication, machine learning (ML) ... -
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 ... -
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 ... -
Analysis of functional connectome pipelines for the diagnosis of autism spectrum disorders
(2022-05)This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum ... -
Aplicación de técnicas de Deep Learning al Alineamiento Múltiple de Secuencias
(2021)En la última década, Deep Learning (DL) ha sido una de las técnicas más em pleadas en diversos campos de estudio, incluida la Bioinformática. Sin embargo, a día de hoy no existen demasiados estudios en los que se aplique ... -
Application of data augmentation techniques towards metabolomics
(Elsevier, 2022-07-27)Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in 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 ... -
Artificial intelligence to assist specialists in the detection of haematological diseases
(Elsevier, 2023)Artificial intelligence, particularly the growth of neural network research and development, has become an invaluable tool for data analysis, offering unrivalled solutions for image generation, natural language processing, ... -
Clasificación de información táctil para la detección de personas
(2017-09-29)Este artículo presenta el diseño de un efector final táctil y la aplicación de técnicas de inteligencia artificial para la detección de personas mediante un brazo manipulador ligero de 6 grados de libertad. Este efector ... -
Comparing and Tuning Machine Learning Algorithms to Predict Type 2 Diabetes Mellitus
(Elsevier, 2023)The main goals of this work are to study and compare machine learning algorithms to predict the development of type 2 diabetes mellitus. Four classification algorithms have been considered, studying and comparing the ... -
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 ... -
Contribuciones al estudio y análisis de sistemas vestibles de detección de caídas
(UMA Editorial, 2022)Las caídas son la segunda causa mundial de muerte por lesiones accidentales o no intencionales según la Organización Mundial de la Salud. En este contexto, cabe destacar que las personas mayores de 65 años tienen un mayor ... -
Deep Learning to Analyze RNA-Seq Gene Expression Data
(Springer, 2017)Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ... -
Detección de fraude en transacciones Blockchain usando procesos de Machine Learning, una Aproximación al Estado del Arte.
(2023)Las aplicaciones financieras basadas en tecnología blockchain son cada vez más comunes en el día a día de la economía regulada global. Con este precedente, y en una contextualización de la detección de fraude mediante el ... -
Diagnosis automática con 5G para entornos de emergencia
(2023)Emergency communications are a fundamental aspect for any community, becoming more necessary year after year. This fact, together with the continuous advance of mobile network technologies, enables increasingly more reliable ... -
Ensemble methods for meningitis aetiology diagnosis
(Wiley, 2022-03-18)In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ...