Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Beatriz de la Iglesia"'
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0210689 (2019)
We investigate the use of Twitter data to deliver signals for syndromic surveillance in order to assess its ability to augment existing syndromic surveillance efforts and give a better understanding of symptomatic people who do not seek healthcare ad
Externí odkaz:
https://doaj.org/article/bf90b582274e437c911e632e7c0428b1
Publikováno v:
Plant Phenomics, Vol 2019 (2019)
Wheat is one of the major crops in the world, with a global demand expected to reach 850 million tons by 2050 that is clearly outpacing current supply. The continual pressure to sustain wheat yield due to the world’s growing population under fluctu
Externí odkaz:
https://doaj.org/article/8858d34466cd41429abbac246d843006
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cce90bc8546b3ee4d1eb8ee161373d20
https://doi.org/10.1109/metroxraine54828.2022.9967609
https://doi.org/10.1109/metroxraine54828.2022.9967609
Wheat is one of the world’s three main crops, with global consumption projected to reach more than 850 million tons by 2050. Stabilising yield and quality of wheat cultivation is a major issue. With the use of remote sensing and non-invasive imagin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::480cf252e8870767f5a4ad1ff7f18c73
https://ueaeprints.uea.ac.uk/id/eprint/85658/
https://ueaeprints.uea.ac.uk/id/eprint/85658/
Multivariate Time Series Clustering (MVTS) is an essential task, especially for large and complex dataset, but it has received limited attention in the literature. We are motivated by a real-world problem: the need to cluster air pollution data to pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d2a57c630bee086da4479a1a436109c
https://ueaeprints.uea.ac.uk/id/eprint/81608/
https://ueaeprints.uea.ac.uk/id/eprint/81608/
Air pollution is one of the world's leading risk factors for death, with 6.5 million deaths per year worldwide attributed to air pollution-related diseases. Understanding the behaviour of certain pollutants through air quality assessment can produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8decdab24983c46033a5818bb971a525
https://ueaeprints.uea.ac.uk/id/eprint/81606/
https://ueaeprints.uea.ac.uk/id/eprint/81606/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
Air pollution is a global problem. The assessment of air pollution concentration data is important for evaluating human exposure and the associated risk to health. Unfortunately, air pollution monitoring stations often have periods of missing data or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e451c111511a8fc2b0c747b0c88c47
https://ueaeprints.uea.ac.uk/id/eprint/77669/
https://ueaeprints.uea.ac.uk/id/eprint/77669/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
In this paper, we propose an approach to intelligent and automatic keyword selection for the purpose of Twitter data collection and analysis. The proposed approach makes use of a combination of deep learning and evolutionary computing. As some contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf79ff54e0e31b2bb6222f285bfe757f
https://ueaeprints.uea.ac.uk/id/eprint/77840/
https://ueaeprints.uea.ac.uk/id/eprint/77840/
Missing data is a significant issue in many real-world datasets, yet there are no robust methods for dealing with it appropriately. In this paper, we propose a robust approach to dealing with missing data in classification problems: Multiple Imputati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55caba62c6cfa1a55bd081d078893f84
https://ueaeprints.uea.ac.uk/id/eprint/74916/
https://ueaeprints.uea.ac.uk/id/eprint/74916/
Publikováno v:
Computers in Biology and Medicine
Public health practitioners and researchers have used traditional medical databases to study and understand public health for a long time. Recently, social media data, particularly Twitter, has seen some use for public health purposes. Every large te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f658171d75599ab7ca3fb6e2b077ba87
https://pubmed.ncbi.nlm.nih.gov/32502758
https://pubmed.ncbi.nlm.nih.gov/32502758