Results 71 to 80 of about 3,004,098 (199)
Advanced Nonlinear Studies, 2020 In this paper, we study global well-posedness and long-time asymptotic behavior of solutions to the nonlinear heat equation with absorption, ut-Δu+|u|αu=0{u_{t}-\Delta u+\lvert u\rvert^{\alpha}u=0}, where u=u(t,x)∈ℝ{u=u(t,x)\in\mathbb{R}}, (t,x)∈(0,∞)×
Mouajria Hattab +2 more
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Dimensioning V2N Services in 5G Networks Through Forecast-Based Scaling
IEEE Access, 2022 With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as remote driving, cooperative awareness, and hazard warning) will have to operate in an ever-changing and dynamic ...
Jorge Martin-Perez +8 more
doaj +1 more source
The Flatness of Mass-to-Light Ratio on Large Scales [PDF]
, 1999 It has been suggested that the mass-to-light ($M/L$) ratio of gravitationally clustering objects is scale-independent on scales beyond galaxy clusters, and may also be independent of the mass of the objects. In this paper, we show that the scale behavior of $M/L$ ratio is closely related to the scaling of cosmic structures larger than clusters.
arxiv +1 more source
Hierarchical Scaling in Systems of Natural Cities
Entropy, 2018 Hierarchies can be modeled by a set of exponential functions, from which we can derive a set of power laws indicative of scaling. The solution to a scaling relation equation is always a power law.
Yanguang Chen, Bin Jiang
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Fast and Accurate Model Scaling [PDF]
arXiv, 2021 In this work we analyze strategies for convolutional neural network scaling; that is, the process of scaling a base convolutional network to endow it with greater computational complexity and consequently representational power. Example scaling strategies may include increasing model width, depth, resolution, etc. While various scaling strategies exist,
arxiv
The American Statistician, 2017 Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection. Despite its importance, there are serious challenges associated with producing reliable and high quality forecasts — especially when there are a variety of time series and analysts with expertise in time series modeling are ...
Benjamin Letham, Sean J. Taylor
openaire +1 more source
On the Use of Finite-Size Scaling to Measure Spin-Glass Exponents
, 2003 Finite-size scaling (FSS) is a standard technique for measuring scaling exponents in spin glasses. Here we present a critique of this approach, emphasizing the need for all length scales to be large compared to microscopic scales.
A C Carter +18 more
core +1 more source
Scaling of Metabolic Scaling within Physical Limits
Systems, 2014 Both the slope and elevation of scaling relationships between log metabolic rate and log body size vary taxonomically and in relation to physiological or developmental state, ecological lifestyle and environmental conditions.
Douglas S. Glazier
doaj +1 more source
Victorian Literature and Culture, 2018 Entry for the special Keywords issue of Victorian Literature and Culture.
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The scale of predictability [PDF]
Journal of Econometrics, 2012 We view economic time series as the result of a cascade of shocks occurring at dierent times and dierent frequencies. In agreement with this premise, we suggest that equilibrium (predictive) relations that are found to be elusive when using raw data may hold true for dierent layers, components, or details, in the cascade of shocks aecting economic time
Federico M. Bandi +4 more
openaire +4 more sources