Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data

Autor: Santi García-Cremades, Juan Morales-García, Rocío Hernández-Sanjaime, Raquel Martínez-España, Andrés Bueno-Crespo, Enrique Hernández-Orallo, José J. López-Espín, José M. Cecilia

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)

Abstract We are witnessing the dramatic consequences of the COVID-19 pandemic which, unfortunately, go beyond the impact on the health system. Until herd immunity is achieved with vaccines, the only available mechanisms for controlling the pandemic a

Externí odkaz: https://doaj.org/article/cec90a6817e846359a39ba6ce552d51c

Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms

Autor: José M. Cecilia, Juan-Carlos Cano, Juan Morales-García, Antonio Llanes, Baldomero Imbernón

Publikováno v: Sensors, Vol 20, Iss 21, p 6335 (2020)

Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is currently considered as “dark data”, i.e., data generated but never

Externí odkaz: https://doaj.org/article/6dbbef1443a44e6092bdd8035b4797bf

Data-driven evaluation of machine learning models for climate control in operational smart greenhouses

Autor: Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, José M. Cecilia

Publikováno v: Journal of Ambient Intelligence and Smart Environments. 15:3-17

Nowadays, human overpopulation is stressing our ecosystems in different ways, agriculture being a critical example as different predictions point towards food shortages in the near future. Accordingly, smart farming is becoming key to the optimizatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0296e9880010e318786def1fdaf26672
https://doi.org/10.3233/ais-220441

An Analysis of Synthetic Timeseries as an Enabler to Improve Region-based Human Mobility Forecasting

Autor: José M. Cecilia, Andrés Bueno-Crespo, Fernando Terroso-Sáenz, Juan Morales-García

Motivated by the large number of wearables offering geolocation, human mobility mining has emerged as an novel research field within AI. The study of mobility creates increasingly predictable models in which it is easy to find patterns of behaviour.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cb301a30efaaebe11ff42d7cdb53f23
https://doi.org/10.36227/techrxiv.21757076.v1

Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms

Autor: Baldomero Imbernón, José M. Cecilia, Antonio Llanes, Juan Morales-García, Juan-Carlos Cano

Publikováno v: Sensors
Volume 20
Issue 21
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6335, p 6335 (2020)
RIUCAM: Repositorio Institucional de la Universidad Católica San Antonio de Murcia
Universidad Católica San Antonio de Murcia (UCAM)
RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia

Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is currently considered as &ldquo
dark data&rdquo
i.e., data gene

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ab1b360cbf540f37918a8ed0d42ee5c