Results 21 to 30 of about 1,120 (201)
Advanced Science, EarlyView.Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo +10 more
wiley +1 more source
Generalized spectral tests for the martingale difference hypothesis [PDF]
, 2003 ^aThis article proposes a test for the Martingale Difference Hypothesis (MDH) using dependence measures related to the characteristic function. The MDH typically has been tested using the sample autocorrelations or in the spectral domain using the ...
Velasco, Carlos, Escanciano, Juan Carlos
core +1 more source
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation [PDF]
, 2014 Approximate Bayesian computation has emerged as a standard computational tool when dealing with intractable likelihood functions in Bayesian inference. We show that many common Markov chain Monte Carlo kernels used to facilitate inference in this setting
Łatuszyński, Krzysztof, Lee, Anthony
core +1 more source
Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
Advanced Science, EarlyView.An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source
Intrinsic i$i$‐Wave Altermagnetism in 2D Graphene Superlattices
Advanced Science, EarlyView.Altermagnetism has so far been mostly proposed in transition metals compounds. Here we show that monolayer and bilayer graphene antidot superlattices realize a carbon‐based i‐wave altermagnet. This is demonstrated with a combination of symmetry analysis, first principles methods and effective models, featuring a six‐fold spin splitting texture in ...
Cuiju Yu, Jose L. Lado
wiley +1 more source
Limiting behaviour of random spatial graphs and asymptotically homogeneous RWRE [PDF]
, 2005 We consider several random spatial graphs of the nearest-neighbour type, including the k- nearest neighbours graph, the on-line nearest-neighbour graph, and the minimal directed spanning tree.
Wade, Andrew R +2 more
core
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Advanced Science, EarlyView.Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Asymptotic Theory for Spatial Processes [PDF]
, 2008 Recent years have seen a marked increase in the application of spatial models in economics and the social sciences, in general. However, the development of a general asymptotic estimation and inference theory for spatial estimators has been hampered by a
Jenish, Nazgul, Nazgul Jenish
core +1 more source
Limit theorems for Markov-modulated queues [PDF]
, 2016 This thesis considers queueing systems affected by a random environment. The behaviour of these queues is studied under specific asymptotic regimes. Embedding a queueing system in a random environment is a way to add flexibility to a model.
Þórsdóttir, H.
core +4 more sources
Ergodic Theoretical Approach To Investigate Memory Properties Of Heavy Tailed Processes [PDF]
, 2013 A class of infinitely divisible processes includes not only well-known L´ vy processes, e but also a wide variety of processes such as the Gaussian and the stable processes, moving averages driven by L´ vy processes (e.g., Ornstein-Uhlenbeck processes ...
Owada, Takashi
core +4 more sources