Elsevier,
Ocean Modelling, Volume 181, February 2023
This paper show the mathematical and theoretical background of the machine learning algorithm used in this work, the LSTM. The data used are described and the methodology of framework is presented. It shows the predictions results based on LSTM and comparisons with ERA5 and buoy observations.
Elsevier,
Ocean Modelling, Volume 181, February 2023
This paper based on three implemented Regional Climate Models (RCMs), namely CMCC-CCLM, CNRM-ALADIN52, and GUF-CCLM-NEMO, for RCP4.5 and RCP8.5 scenarios of the 21st century. Atmospheric modelling datasets cover the Reference (1971–2000) and Future (2071–2100) Periods of climate projections. The results produced within this study can be used for investigations in specific locations of the Mediterranean basin within integrated hydrologic/hydrodynamic modelling under projected climate change conditions during the 21st century.
Progress in Oceanography, Volume 211, February 2023
This study shows downscaled climate projections that, without strong curbing of emissions, the California Current System (CCS) will undergo significant change this century, including 2–4 °C warming of sea surface temperature and an almost ubiquitous shift to novel conditions
Elsevier,
Engineering Applications of Artificial Intelligence, Volume 117, Part A, 2023, 105617
An examination of the challenges involved in water demand forecasting, with a particular focus on the impact of COVID-19 on the performance of various machine learning models designed for this purpose.
Sustainable Chemistry and Pharmacy, Volume 25, 2022, 100590
Clean water resources are crucial for societies in order to maintain safety as well as social, ecological and economic progress. As the population grows, agricultural, domestic and industrial activities produce large amounts of wastewaters that can be treated and reused in variety of purposes considering circular economy philosophy. This review presents the challenges and future prospects of wastewater treatment using membrane technologies and is related to SDG 6: Clean water and sanitation.
Elsevier,
The Lancet Regional Health - Europe, Volume 26, March 2023, 100565
This Article supports SDG 3 by assessing the difference in quality of diabetes care between people with and without serious mental illness. The findings suggest that people with serious mental illness were less likely to receive process of care.
Elsevier,
Press Release, February 28th, 2023
"Year of the Zebra" will highlight one rare disease each week in 2023 on world's most watched healthcare video education channel, 'Osmosis from Elsevier,' to educate healthcare professionals and students and accelerate rare disease diagnosis and research
