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Mostrando ítems 71-80 de 117
CollisionGP: comprobación de colisiones probabilística con procesos gaussianos
(Universidade da Coruña. Servizo de Publicacións, 2023)
[Resumen] La comprobación de colisiones es la operación primitiva de la planificación de movimientos que más tiempo consume. Se ha demostrado que los algoritmos de aprendizaje automático aceleran la comprobación de colisiones. ...
Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset
(MDPI, 2023-04)
[Abstract]: With the rise in smart devices, the Internet of Things (IoT) has been established as one of the preferred emerging platforms to fulfil their need for simple interconnections. The use of specific protocols such ...
Reduced precision discretization based on information theory
(Elsevier, 2022-01)
[Abstract] In recent years, new technological areas have emerged and proliferated, such as the Internet of Things or embedded systems in drones, which are usually characterized by making use of devices with strict requirements ...
Measuring Early Detection of Anomalies
(IEEE, 2022)
[Abstract] Early detection is a matter of growing importance in multiple domains as network security, health conditions over social network services or weather forecasts related disasters. It is not enough to make a good ...
Site agnostic approach to early detection of cyberbullying on social media networks
(MDPI, 2023-05)
[Abstract]: The rise in the use of social media networks has increased the prevalence of cyberbullying, and time is paramount to reduce the negative effects that derive from those behaviours on any social media platform. ...
A review on machine learning approaches and trends in drug discovery
(Research Network of Computational and Structural Biotechnology, 2021)
Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...
Training of machine learning models for recurrence prediction in patients with respiratory pathologies
(MDPI, 2021-10-13)
[Abstract] Information extracted from electronic health records (EHRs) is used for predictive tasks and clinical pattern recognition. Machine learning techniques also allow the extraction of knowledge from EHR. This study ...
Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers
(BioMed Central, 2022-09-12)
[Abstract] Background. Knee osteoarthritis is the most prevalent chronic musculoskeletal debilitating disease. Current treatments are only symptomatic, and to improve this, we need a robust prediction model to stratify ...
Fully automatic multi-temporal land cover classification using Sentinel-2 image data
(Elsevier BV, 2019)
[Abstract] The analysis of remote sensing images represents a highly important issue to be performed in many relevant fields such as climate change studies or land cover mapping. Traditional proposals usually identify the ...
Comparison of Outlier-Tolerant Models for Measuring Visual Complexity
(MDPI AG, 2020-04-24)
[Abstract] Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision ...