Results 121 to 130 of about 2,895,298 (310)

On the Relative Non-Abelian Tensor Product of a Pair of Prime Power Groups

open access: yesJournal of Mathematical Extension, 2015
Let (G,N) be a pair of prime power groups. We give a new upper bound for |N G|, where N G is the non-abelian tensor product of N and G. Among other results, the relative Schur multiplier of free product of groups is determined under some ...
S. H. Jafari
doaj  

Investigating the Effect of Inclination Angle and the Influence of Scan Parameters on the Appearance and Thermal and Mechanical Properties of Filigree Tension Rods of LPBF‐Manufactured NiTi Shape‐Memory Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
This article investigates the dependence of the properties on the manufacturing orientation in the form of the inclination angle to the build plate of LPBF‐fabricated NiTi rods with a diameter of 150–220 µm. Metallographic, chemical, thermal, and mechanical characterization show behavior under identical manufacturing conditions that ranges from ...
Sandra Herzig   +2 more
wiley   +1 more source

On The Relative N-Tensor Nilpotent Degree of Finite Groups

open access: yes, 2018
In this paper, we introduce the relative $n$-tensor nilpotent degree of a finite group $G$ with respect to a subgroup $H$ of $G$. The aim of this paper is to investigate this concept and give some results on this topic.
Jafarzadeh, Abbas, Golmakani, Hanieh
openaire   +3 more sources

Architecture‐Driven Sensor Stability in Weft‐Knitted Engineering Textiles

open access: yesAdvanced Engineering Materials, EarlyView.
Textile‐integrated sensor architectures are systematically compared to evaluate their electromechanical behavior under combined mechanical and environmental loading. Pocket‐based integration exhibits stable and reproducible signals, whereas tunnel‐based routing shows higher sensitivity accompanied by increased variability.
Adnan Maroof Khan   +5 more
wiley   +1 more source

Tensor-variate restricted Boltzmann machines

open access: yes, 2015
Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point is a matrix or a tensor. Standard RBMs applying to such data would require
TD Nguyen (9887741)   +3 more
core   +1 more source

Extensions of relative tensors [PDF]

open access: yesTransactions of the American Mathematical Society, 1924
Oswald Veblen, Tracy Yerkes Thomas
openaire   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

A Local Structure Measure for Anisotropic Regularization of Tensor Fields

open access: yes, 2006
Acquisition systems are not fully reliable since any real sensor will provide noisy and possibly incomplete and degraded data. Therefore, in tensor measurements, all problems dealt with in conventional multidimensional statistical signal processing are ...
Castanõ-Moraga, C.   +9 more
core   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

Spatio-Temporal Multiway Data Decomposition Using Principal Tensor Analysis on k-Modes: The R Package PTAk [PDF]

open access: yes
The purpose of this paper is to describe the R package {PTAk and how the spatio-temporal context can be taken into account in the analyses. Essentially PTAk() is a multiway multidimensional method to decompose a multi-entries data-array, seen ...
Didier G. Leibovici
core  

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