نتایج جستجو برای: dimensional inversion model declares a highly conductive smectite

تعداد نتایج: 13885677  

Journal: :The Journal of the Acoustical Society of America 2010

Journal: :Geophysical Journal International 1977

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بوعلی سینا - دانشکده علوم پایه 1391

abstract: in this thesis, we focus to class of convex optimization problem whose objective function is given as a linear function and a convex function of a linear transformation of the decision variables and whose feasible region is a polytope. we show that there exists an optimal solution to this class of problems on a face of the constraint polytope of feasible region. based on this, we dev...

Journal: :Microelectronics Reliability 2003
C. W. Tan Y. C. Chan N. H. Yeung

This paper reports that the stress-corrosion cracking induced by autoclave test condition reduces the mechanical strength of anisotropic conductive joints and also increases the contact resistance by allowing more moisture to reach the aluminium metallization. The use of anisotropic conductive joints with bumpless chips allows a reduction in the costs of the flip chip bonding process. The epoxy...

Journal: :Proceedings of the National Academy of Sciences 2009

2016
Chun-Hua Zhu Li-Ming Li Jian-Hua Wang Yu Liu

A stretchable cotton–Ag nanowire–poly(dimethylsiloxane) (cotton–AgNWs–PDMS) conductor was fabricated by embedding the unique binary conductive network structure of cotton–AgNWs in PDMS through a simple dip-coating method. The binary conductive network structure was constructed based on cotton which had an interconnected and junction-free macroporous structure as the skeleton to support the two ...

Journal: :Pattern Recognition 2013
Mathieu Fauvel Jocelyn Chanussot Jon Atli Benediktsson Alberto Villa

The classification of high dimensional data with kernel methods is considered in this article. Exploiting the emptiness property of high dimensional spaces, a kernel based on the Mahalanobis distance is proposed. The computation of the Mahalanobis distance requires the inversion of a covariance matrix. In high dimensional spaces, the estimated covariance matrix is ill-conditioned and its invers...

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