Results 101 to 110 of about 527,315 (302)
Numerical methods for meteorology and climatology [PDF]
Efficient numerical methods for long term weather forecasting are developed.
Isaacson, E., Marchesin, D., Zwas, G.
core +1 more source
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
HUTFormer: Hierarchical U-Net transformer for long-term traffic forecasting
Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential component of intelligent transportation.
Zezhi Shao +9 more
doaj +1 more source
Energy systems scenario modelling and long term forecasting of hourly electricity demand
The Danish energy system is undergoing a transition from a system based on storable fossil fuels to a system based on fluctuating renewable energy sources.
Poul Alberg Østergaard +2 more
doaj +1 more source
Hierarchical attention network for multivariate time series long-term forecasting. [PDF]
Bi H, Lu L, Meng Y.
europepmc +1 more source
Building a regional forecasting model utilizing long-term relationships and short-term indicators [PDF]
Economic indicators ; Forecasting ; Regional ...
Chih-Ping Chang, Keith R. Phillips
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A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
As the proportion of photovoltaic (PV) power generation continues to increase in power systems, high-precision PV power forecasting has become a critical challenge for smart grid scheduling.
Mengkun Li, Letian Sun, Yitian Sun
doaj +1 more source
Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk. [PDF]
Zhang J, Chen L.
europepmc +1 more source
Forecasting Interest Rates: an application for Brazil [PDF]
Understanding the links between long and short-term interest rates is crucial for monetary policy makers, since Central Banks decide and set short-term interest rates in order to affect indirectly long-term interest rates, which affects aggregate ...
Benjamin M. Tabak +2 more
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