Results 91 to 100 of about 557,874 (331)
Comparison of Semi-Markov and Markov Processes
The Annals of Mathematical Statistics, 1971 Conditions are given under which a semi-Markov process $Z(t)$ can be obtained from a Markov process $Y(t)$ by a time change (i.e. $Z(t) = Y(\gamma(t))$). Estimates are given for $P\{\sup_{s\leqq t} |s - \gamma(s)| > \varepsilon\}$ and the construction is used to give conditions under which a sequence of semi-Markov processes will have the same ...
openaire +3 more sources
BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks
Advanced Science, EarlyView.BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti +8 more
wiley +1 more source
Consensus for Multiple Unmanned Surface Vehicle (Musv) Systems with Markov Switching Topologies
Polish Maritime Research, 2019 This paper is concerned with sampled-data leader following consensus of multiple unmanned surface vehicle (MUSV) systems with random switching network topologies and wave-induced disturbance.
Wang Liyuan, Yue Wei, Zhang Rubo
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STEMDiff: A Wavelet‐Enhanced Diffusion Model for Physics‐Informed STEM Image Generation
Advanced Science, EarlyView.STEMDiff, which is a conditional diffusion model that generates realistic STEM images from crystal structure‐derived binary labels, is proposed, overcoming high‐frequency bias via a Discrete Wavelet Transform‐based architecture. It produces experimentally indistinguishable images, enabling annotation‐free training of networks for precise atomic ...
Yihui Bao +4 more
wiley +1 more source
A data-driven Markov process for infectious disease transmission. [PDF]
PLoS One, 2023 Wang C, Mustafa S.
europepmc +1 more source
Advanced Science, EarlyView.A prior knowledge‐guided diffusion model augmented by physics‐constrained active learning is developed to design high‐asymmetry terahertz metamaterials. Trained on only a small set of classical structures, the model efficiently generates new high‐metrics designs.
Qiqi Dai +7 more
wiley +1 more source
Time varying Markov process with partially observed aggregate data: An application to coronavirus. [PDF]
J Econom, 2023 Gourieroux C, Jasiak J.
europepmc +1 more source
B‐EPIC: A Transformer‐Based Language Model for Decoding B Cell Immunodominance Patterns
Advanced Science, EarlyView.B‐Epic: Achieving high‐accuracy B cell epitope prediction through Transformer architecture. Comprehensive validation demonstrates B‐Epic's robust performance across diverse datasets. B‐Epic facilitates vaccine development for H. pylori and EBV, addressing critical public health challenges.
Jun‐Ze Liang +16 more
wiley +1 more source
Enhanced Single‐Particle Upconversion Imaging via Energy Migration Boosting
Advanced Science, EarlyView.A core‐shell‐shell Yb3⁺/Er3⁺ UCNP architecture is engineered to balance energy migration and back energy transfer, yielding more than a tenfold enhancement in single‐particle brightness. Leveraging these optimized probes, it achieves long‐term, high‐resolution single‐particle tracking in live neurons, uncovering coordinated transport mechanisms of ...
Yanxin Zhang +7 more
wiley +1 more source
Computational and Mathematical BiophysicsThe emergence and dynamic prevalence of genetic disorders and infectious diseases with mutations pose significant challenges for public health interventions.
Baranon Mouhamadou Djima +3 more
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