Results 191 to 200 of about 3,437,660 (362)
Fuzzy postprocessing of seasonal climate forecasts for semiarid river basins
Meteorological forecasts from AI‐based fuzzy rule‐based system (FRB) are compared to linear scaling (LS) and quantile mapping (QM). Seasonal forecasts from the Copernicus Climate Change Service (C3S) are considered. Results show that the highest skill is achieved for the FRB approach.
Dariana Isamel Avila‐Velasquez +2 more
wiley +1 more source
Prediction of the short-term prognosis of acute ischaemic stroke in patients with high treatment platelet reactivity using explainable machine learning. [PDF]
Liu J, Gu Y, Wang D, Xia X, Li X.
europepmc +1 more source
AI‐Based Autonomous Sailboat Navigation: A Review
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina +6 more
wiley +1 more source
Trends in rainfall and temperature extremes during 1954-2019 in Addis Ababa, Ethiopia
ELIAS FISEHA MEKONNEN +2 more
doaj +1 more source
Unpacking Ross River virus trends in Queensland: Regional insights and predictive modeling. [PDF]
Qian W +4 more
europepmc +1 more source
Mesoscale Meteorology "Primer": Training for the Operational Forecaster
Mesoscale meteorological processes and the numerical models designed to analyze and forecast these processes are currently in use by the majority of operational forecasters. Although National Weather Service (NWS) forecasters typically have an undergraduate or higher degree in meteorology, forecasters in the Department of Defense typically do not have ...
Nuss, Wendell A., Curry, William T.
openaire +1 more source
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd +2 more
wiley +1 more source
A novel interval prediction method in wind speed based on deep learning and combination prediction. [PDF]
Chen X, Han T, Cheng P, Da X.
europepmc +1 more source
ABSTRACT Climate change currently impacts coffee production, which necessitates institutional interventions to enhance the resilience of the coffee sector. The study aims to explore the institutional responses to climate change and the factors influencing their decisions in the Ethiopian coffee sector.
Guta Regasa Megerssa +4 more
wiley +1 more source

