Results 271 to 280 of about 4,321,601 (325)

Deep learning for dentomaxillofacial cone-beam computed tomography image quality enhancement: A pilot study. [PDF]

Imaging Sci Dent
Nazari A, Najafi SMY, Abbasi R, Mohammad-Rahimi H, Motie P, Alamdari MI, Hosseinzadeh M, Pauwels R, Schwendicke F.   +8 more
europepmc   +1 more source

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy. [PDF]

BMC Infect Dis
Mobin MA.
europepmc   +1 more source

CMIP6-driven 10 km super-resolution daily climate projections with PET estimates in China. [PDF]

Sci Data
Zhang F, Li X, Wang X, Tan M, Xin L.
europepmc   +1 more source

The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events. [PDF]

Data Brief
Mallard MS, Spero TL, Bowden JH, Willison J, Brehme K, Reynolds LJ.   +5 more
europepmc   +1 more source

Cortical hierarchy underlying homeostatic sleep pressure alleviation. [PDF]

Nat Commun
Zou Q, Zou G, Wang S, Wang Y, Xu J, Long Y, Zhou S, Wu X, Yang G, Qin L, Su ZH, Cui Z, Zuo XN, Tang X, Rao H, Gao JH.   +15 more
europepmc   +1 more source

Division of labor among H3K4 methyltransferases defines distinct facets of homeostatic plasticity. [PDF]

Cell Rep
Tsukahara T, Kethireddy S, Bonefas KM, Chen A, Sutton BLM, Bandow K, Dou Y, Iwase S, Sutton MA.   +8 more
europepmc   +1 more source

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Empirical-Statistical Downscaling

Downscaling Techniques for High-Resolution Climate Projections, 2021
R. Kotamarthi, K. Hayhoe, L. Mearns, D. Wuebbles, J. Jacobs, J. Jurado   +5 more
semanticscholar   +2 more sources

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change

International Conference on Machine Learning and Soft Computing, 2022
General Circulation Models (GCMs) allow for the simulation of several climate variables through the year 2100. GCM simulations, however, are too coarse to monitor climate change at a local scale in a local region.
Firas Gerges, M. Boufadel, E. Bou‐Zeid, H. Nassif, J. T. Wang   +4 more
semanticscholar   +1 more source

Climate change projections of maximum temperatures for southwest Iraq using statistical downscaling

, 2021
Global warming as an aspect of climate change has caused environmental problems, especially in dry regions. Identifying and assessing future climate change is therefore paramount to facilitate suitable environmental planning to adapt to, and reduce, its ...
W. Hassan
semanticscholar   +1 more source

Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling

2021
Empirical-statistical downscaling (ESD) models use statistical relationships to infer local climate information from large-scale climate information produced by global climate models (GCMs), as an alternative to the dynamical downscaling provided by regional climate models (RCMs).
openaire   +1 more source