Results 71 to 80 of about 71,763 (309)
MathematicsThe stochastic structural plane of a rock mass is the key factor controlling the stability of rock mass. Obtaining the distribution of stochastic structural planes within a rock mass is crucial for analyzing rock mass stability and supporting rock slopes
Han Meng, Xiaoyu Qi, Gang Mei
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A stochastic restricted ridge regression estimator
Journal of Multivariate Analysis, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On regression representations of stochastic processes
Stochastic Processes and their Applications, 1993 Two types of so-called regression representations of a discrete time stochastic process \(X=(X_ n)_{n\in N}\) are developed. The one has the form \(X_ n=f_ n(X_ 1,\ldots,X_{n-1},U_ n)\), \(X_ 1=f_ 1(U_ 1)\), and is called Markov regression on \(X\) and the other is of the form \(X_ n=g_ n(U_ 1,\ldots,U_ n)\) and is called standard representation of \(X\
Rüschendor, L, de Valk, V
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
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Around the Probability Distribution of The Estimated Random Ridge Factor with Stochastic Prior Information [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, The probability distribution of the estimated stochastic ridge factor has been found, which has been developed by adding prior information to the sample information.
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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
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AIP Advances, 2021 The dynamic modeling of structures in a thermal environment has become a new research topic in structural dynamics. Uncertainties caused by noise or material variability increase the difficulty in structural dynamic modeling when considering thermal ...
Zhe Chen, Huan He, Qi-jun Zhao
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Advanced Materials Technologies, EarlyView.Flexible silicon carbide (SiC) microelectrode arrays enable high‐fidelity, multichannel cell extracellular recording and precise localized ablation. SiC has been extensively evaluated to persist long‐term in chronic physiological conditions while remaining robust, with excellent electrical and electrochemical stability.
Minh Anh Huynh +4 more
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Advanced Materials Technologies, EarlyView.A direction‐aware piezo‐transmittance strain sensor is realized through the engineered alignment of carbon nanotubes. This anisotropic architecture instantaneously modulates optical transmittance, achieving ultra‐high sensitivity and exceptionally low hysteresis. By effectively eliminating signal crosstalk to precisely decouple multidirectional strains,
Byeongmin Kang +15 more
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On subset selection in non-parametric stochastic regression [PDF]
, 1994 This paper is concerned with the use of a cross-validation method based on the kernel estimate of the conditional mean for the subset selection of stochastic regressors within the framework of non-linear stochastic regression.
Yao, Qiwei, Tong, Howell
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