KANs Layer Integration: Benchmarking Deep Learning Architectures for Tornado Prediction
Tornado occurrence and detection are well established in mesoscale meteorology, yet the application of deep learning (DL) to radar-based tornado detection remains nascent and under-validated.
Shuo (Luna) Yang +3 more
doaj +1 more source
The dead fine fuel moisture content (DFFMC) directly affects forest fire occurrence and spread. Accurate DFFMC prediction is key to estimating forest fire risk and behavior.
Zhe Han +6 more
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Currently, improving runway utilization under operational safety constraints has become a critical concern for small and medium airports. Existing research focuses primarily on landing-phase runway occupation time, while predictive studies on the takeoff
Zhousheng Huang +4 more
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Zinc in Soil–Plant–Human Systems: A Synthesis of Its Fate, Essential Roles, and Health Implications
Zinc (Zn) is an essential micronutrient that plays a pivotal role in the soil–plant–human continuum, influencing soil health, crop productivity, and human nutrition.
Ajit Kumar Mandal +12 more
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The application of large language models in meteorology graduate research: current status, impact, and prospects. [PDF]
Zhu S, Li H.
europepmc +1 more source
Quantifying the wildfire contribution to PAH concentrations and health effects. [PDF]
Cicone L, Wong AYH, Selin NE.
europepmc +1 more source
South China Sea "(Trident)": Solution for ocean forecast foundation models. [PDF]
Zhao W +5 more
europepmc +1 more source
MVDFusion: Multimodal Vehicle Detection in Foggy Weather Using LiDAR and Radar Fusion. [PDF]
Tian J +7 more
europepmc +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
A theory-guided multi-scale temporal fusion network for road surface temperature nowcasting. [PDF]
Wang K, Bao Y, Wei X, Zhu C, Liu D.
europepmc +1 more source

