[HTML][HTML] A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions
ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …
parameter modelling is one of the most challenging problems in the water sector. Therefore …
[HTML][HTML] Data science methods and tools for industry 4.0: A systematic literature review and taxonomy
The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
Data-Driven Models' Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus
E Hadjisolomou, M Rousou, K Antoniadis, L Vasiliades… - 2023 - preprints.org
Eutrophication is a major environmental issue with many negative consequences, such as
hypoxia and harmful cyanotoxins production. Monitoring coastal eutrophication is a crucial …
hypoxia and harmful cyanotoxins production. Monitoring coastal eutrophication is a crucial …