Results 121 to 130 of about 4,088,927 (359)
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
wiley +1 more source
Probabilistic estimates of future changes in California temperature and precipitation usingstatistical and dynamical downscaling [PDF]
Sixteen global general circulation models were used to develop probabilistic projections of temperature (T) and precipitation (P) changes over California by the 2060s.
Bao, Yan +11 more
core +1 more source
D3.3 Dynamical downscaling of climate & atmospheric impacts
This deliverable D3.3 “Dynamical downscaling of climate & atmospheric impacts” provides a description of high resolution modeling approach to downscale both meteorological and wind information for the four HYPERION pilot sites. The downscaled information will be utilized by analysis techniques developed in HYPERION project to assess the impact of ...
Auvinen, Mikko +3 more
openaire +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
The potential impacts of climate change on the distribution of Nepenthes and dipterocarps of the Trus Madi Forest Reserve [PDF]
Publisher ...
Burslem, David Francis Robert Philip +5 more
core
Variational Downscaling, Fusion and Assimilation of Hydrometeorological States via Regularized Estimation [PDF]
Improved estimation of hydrometeorological states from down-sampled observations and background model forecasts in a noisy environment, has been a subject of growing research in the past decades.
Ebtehaj, Ardeshir Mohammad +1 more
core +1 more source
The effect of anthropogenically enhanced greenhouse gas concentrations on the frequency and intensity of hail depends on a range of physical processes and scales.
R. Trapp +2 more
semanticscholar +1 more source
As a typical arid and semi-arid area, central Asia (CA) has scarce water resources and fragile ecosystems that are particularly sensitive and vulnerable to climate change.
Xian Zhu +7 more
semanticscholar +1 more source
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman +4 more
wiley +1 more source
MULTIVARIATE ASSIMILATION METHOD FOR WAVE DYNAMICAL DOWNSCALING
Good quality, long-term wave series are a key aspect for the study of coastal problems and for the design of coastal and harbor works. Recent years have seen a significant improvement in the quality of global and local wave reanalyzes. They have increased their spatial and temporal resolution, as well as reduced errors, mainly in terms of total energy ...
Sebastian Solari, Rodrigo Alonso
openaire +1 more source

