Results 111 to 120 of about 243,457 (312)
Locally Stationary Graph Processes
IEEE Transactions on Signal ProcessingStationary graph process models are commonly used in the analysis and inference of data sets collected on irregular network topologies. While most of the existing methods represent graph signals with a single stationary process model that is globally valid on the entire graph, in many practical problems, the characteristics of the process may be ...
Abdullah Canbolat, Elif Vural
openaire +2 more sources
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Rare Events, Temporal Dependence and the Extremal Index
AMS classifications: 60G70; 62G32;block maximum;exceedance;extremal index;failure set;mixing condition;M4 process;rare event;stationary ...
Segers, J.J.J.
core
Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Estimation of the stationary distribution of a semi-Markov chain
This article is concerned with the estimation of the stationary distribution of a discretetime semi-Markov process. After briefly presenting the discrete-time semi-Markov setting, wepropose an estimator of the associated stationary distribution. The main
Bulla, Jan +2 more
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Bootstrap Specification Tests with Dependent Observations and Parameter Estimation Error [PDF]
This paper introduces a parametric specification test for dissusion processes which is based on a bootstrap procedure that accounts for data dependence and parameter estimation error. The proposed bootstrap procedure additionally leads to straightforward
Valentina Corradi, Norman R. Swanson
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Introducing non-stationary earthquake process concept
, 2013 From observation and experience, earthquake recurrence induced by the same fault should be influenced by "memory", or such a stochastic process should be non-stationary rather than being stationary.
Wang, J. P., Xu, Y., J Wang, Y Xu
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Advanced Materials Technologies, EarlyView.A fully organic UV threshold dosimeter is developed by exploiting the oxygen‐sensitive room‐temperature phosphorescence of a purely organic emitter in a polymer matrix. Upon reaching a specific cumulative UV dose, photochemical oxygen depletion triggers a sharp, high‐contrast emission.
Tim Achenbach +3 more
wiley +1 more source
Identifying Characteristic Fire Properties with Stationary and Non-Stationary Fire Alarm Systems
SensorsThe article reviews issues associated with the operation of stationary and non-stationary electronic fire alarm systems (FASs). These systems are employed for the fire protection of selected buildings (stationary) or to monitor vast areas, e.g., forests,
Michał Wiśnios +5 more
doaj +1 more source