Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Prediction of river flow rates is an essential task for both flood protection and optimal water
resource management. The high uncertainty associated with basin characteristics …
resource management. The high uncertainty associated with basin characteristics …
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
M Bagheri, N Farshforoush, K Bagheri… - Process Safety and …, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …
patterns in environmental data. Despite their capabilities, these novel technologies have not …
[HTML][HTML] Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
F Di Nunno, F Granata - Agricultural Water Management, 2023 - Elsevier
In years of increasing impact of climate change effects, a reliable characterization of the
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
Precise estimation of reference evapotranspiration (ET0) is crucial for efficient agricultural
water management, crop modelling, and irrigation scheduling. In recent years, the data …
water management, crop modelling, and irrigation scheduling. In recent years, the data …
Reliability evaluation of groundwater quality index using data-driven models
A trustworthy evaluation of the groundwater quality situations for different usages (ie,
drinking, industry, and agriculture) can definitely improve the management of groundwater …
drinking, industry, and agriculture) can definitely improve the management of groundwater …
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
In recent years, the growing impact of climate change on surface water bodies has made the
analysis and forecasting of streamflow rates essential for proper planning and management …
analysis and forecasting of streamflow rates essential for proper planning and management …
River flow rate prediction in the Des Moines watershed (Iowa, USA): A machine learning approach
Prediction of flow rate in rivers is essential for the planning and management of water
resources. This study shows that, based on a Machine Learning approach, accurate models …
resources. This study shows that, based on a Machine Learning approach, accurate models …
[HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction
Monthly runoff time-series estimation is imperative information for water resources planning
and development projects. This article aims to comparatively investigate the applicability of …
and development projects. This article aims to comparatively investigate the applicability of …
Towards the contemporary conservation of cultural heritages: An overview of their conservation history
L Li, Y Tang - Heritage, 2023 - mdpi.com
This paper seeks contemporary cultural heritage conservation principles by reviewing its
history, starting from the 18th century, in practices, international documents, and the …
history, starting from the 18th century, in practices, international documents, and the …
Convolutional neural network and optical flow for the assessment of wave and tide parameters from video analysis (leucotea): An innovative tool for coastal monitoring
G Scardino, G Scicchitano, M Chirivì, PJM Costa… - Remote Sensing, 2022 - mdpi.com
Coastal monitoring is a topic continuously developing, which has been applied using
different approaches to assess the meteo-marine features, for example, to contribute to the …
different approaches to assess the meteo-marine features, for example, to contribute to the …