Listar GI-RNASA - Congresos, conferencias, etc. por título
Mostrando ítems 1-20 de 52
-
A generalized linear model for cardiovascular complications prediction in PD patients
(ACM, 2018)[Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ... -
A genetic algorithms-based approach for optimizing similarity aggregation in ontology matching
(Springer, 2013)[Abstract] Ontology matching consists of finding the semantic relations between different ontologies and is widely recognized as an essential process to achieve an adequate interoperability between people, systems or ... -
Address Space Layout Randomization Comparative Analysis on Windows 10 and Ubuntu 18.04 LTS
(MDPI, 2021)[Abstract] Memory management is one of the main tasks of an Operating System, where the data of each process running in the system is kept. In this context, there exist several types of attacks that exploit memory-related ... -
An Analysis of the Current Implementations Based on the WebAuthn and FIDO Authentication Standards
(MDPI, 2021)[Abstract] During the last few years, some of the most relevant IT companies have started to develop new authentication solutions which are not vulnerable to attacks like phishing. WebAuthn and FIDO authentication standards ... -
Aplicando el Modelo “Matching Person and Technology “ como instrumento de medida de resultados
(Universidad de Salamanca, 2015)[Resumen] Introducción: Matching Person and Technology (MPT) es un modelo diseñado para ser utilizado en el proceso de “emparejamiento” persona y tecnología, enfatizando durante la intervención, la consideración de las ... -
Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia
(MDPI AG, 2020-08-19)[Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ... -
Applying Artificial Intelligence for Operating System Fingerprinting
(MDPI, 2021)[Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices ... -
Approach of Genetic Algorithms With Grouping Into Species Optimized With Predator-Prey Method for Solving Multimodal Problems
(Springer, 2012)[Abstract] Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach ... -
Artificial cells for information processing: iris classification
(Springer, 2011-06-01)[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene ... -
ASD Module: a software to support the personal autonomy in the daily life of children with autism spectrum disorder
(MDPI, 2015-12-04)[Abstract] Introduction: It was observed that technology developers expressed a clear interest to design programs that meet the needs of individuals with Autism Spectrum Disorder (ASD). Several authors indicate that any ... -
Classifying and discovering genomic sequences in metagenomic repositories
(Elsevier B.V., 2023)[Abstract]: The taxonomic and functional composition of microbial communities from environmental, agricultural, and therapeutic settings is increasingly being studied using metagenomic methodologies in large-scale genomic ... -
Design and Implementation of a Physical Bitcoin Coin
(MDPI AG, 2020-08-20)[Abstract] One of the major factors hindering the adoption of crypto assets in general, and Bitcoin in particular, is the high level of complexity they present to the common user. Although physical coins are a possible ... -
Design of Machine Learning Models for the Prediction of Transcription Factor Binding Regions in Bacterial DNA
(MDPI, 2021)[Abstract] Transcription Factors (TFs) are proteins that regulate the expression of genes by binding to their promoter regions. There is great interest in understanding in which regions TFs will bind to the DNA sequence ... -
Detection of Chocolate Properties Using Near-Infrared Spectrophotometry †
(MDPI, 2021)[Abstract] Knowing the chemical composition of a substance provides valuable information about it. That is why numerous techniques have been developed to try to obtain it. One of them is the Near Infrared Spectrometry ... -
Developing an Open-Source, Low-Cost, Radon Monitoring System
(MDPI AG, 2020-08-24)[Abstract] The United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC) have declared Radon gas a human carcinogen. Spain has several regions with high radon ... -
Development of a Server for the Implementation of Data Processing Pipelines and ANN Training
(MDPI, 2021)[Abstract] Data processing and the use of machine learning techniques make it possible to solve a wide variety of problems. The great disadvantage of using this type of technology is the enormous amount of computation ... -
Development of an Open Source Tool and a Multi-Platform for Generation of Forensic Reports
(MDPI AG, 2020-08-27)[Abstract] Computer Forensics is a science that is part of computer security and focuses on identifying, preserving, analyzing and presenting electronic evidence that has been found on a device. This process has to be ... -
Digital Image Quality Prediction System
(MDPI AG, 2020-08-19)[Abstract] “A picture is worth a thousand words.” Based on this well-known adage, we can say that images are important in our society, and increasingly so. Currently, the Internet is the main channel of socialization and ... -
Discovery of Biomedical Databases Through Semantic Questioning
(IOS Press & European Federation for Medical Informatics (EFMI), 2022)[Abstract]: Many clinical studies are greatly dependent on an efficient identification of relevant datasets. This selection can be performed in existing health data catalogues, by searching for available metadata. The ...