Results 41 to 50 of about 651,246 (312)

Dissecting the Mechanism of Martensitic Transformation via Atomic-Scale Observations [PDF]

open access: yes, 2014
Martensitic transformation plays a pivotal role in the microstructural evolution and plasticity of many engineering materials. However, so far the underlying atomic processes that accomplish the displacive transformation have been obscured by the ...
Zhang, TY (reprint author), Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Hong Kong, Peoples R China.   +5 more
core   +1 more source

Significant study of scale factor in phase-based terrestrial laser scanner datum transformation [PDF]

open access: yes, 2019
Rapid, direct and dense three-dimensional (3D) data acquisitions have become compulsory requirement for most applications that demand complete 3D information.
Mustafar, Mohamad Asrul   +19 more
core   +1 more source

Robust adversarial examples against scale transformation via generative network

open access: yesElectronics Letters, 2022
Nowadays, adversarial examples of images which are generated by adding special perturbations on their hosts make great impact on many deep neural network (DNN)‐based computer vision tasks and bring security risks.
Minjie Liu, Xinpeng Zhang, Guorui Feng
doaj   +1 more source

On scale transformations [PDF]

open access: yesIl Nuovo Cimento, 1959
Invariance against scale transformation was used byW. Heisenberg (1) to define a lepton number. Some properties of this transformation are more easily investigated with scalar fields, the mass dependence of which is known. For the scalar fields and the harmonic-oscillator, some properties of the infinitesimal transformation are listed here.
openaire   +2 more sources

Semi-Supervised Vision Transformers at Scale

open access: yesAdvances in Neural Information Processing Systems 35, 2022
We study semi-supervised learning (SSL) for vision transformers (ViT), an under-explored topic despite the wide adoption of the ViT architectures to different tasks. To tackle this problem, we propose a new SSL pipeline, consisting of first un/self-supervised pre-training, followed by supervised fine-tuning, and finally semi-supervised fine-tuning.
Zhaowei Cai   +7 more
openaire   +3 more sources

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates [PDF]

open access: yes, 2012
This study presents a constitutive model for steels exhibiting SIMT, based on previous seminal works, and the corresponding methodology to estimate their parameters.
FERNANDEZ-SAEZ, José   +5 more
core   +1 more source

Formulation of scale transformation in a stochastic data assimilation framework [PDF]

open access: yesNonlinear Processes in Geophysics, 2017
Understanding the errors caused by spatial-scale transformation in Earth observations and simulations requires a rigorous definition of scale. These errors are also an important component of representativeness errors in data assimilation.
F. Liu, F. Liu, X. Li, X. Li, X. Li
doaj   +1 more source

Simulations of multivariant Si I to Si II phase transformation in polycrystalline silicon with finite-strain scale-free phase-field approach [PDF]

open access: yes, 2023
Scale-free phase-field approach (PFA) at large strains and corresponding finite element method (FEM) simulations for multivariant martensitic phase transformation (PT) from cubic Si I to tetragonal Si II in a polycrystalline aggregate are presented ...
Levitas, Valery   +2 more
core   +1 more source

Down-Scaling for Better Transform Compression [PDF]

open access: yesIEEE Transactions on Image Processing, 2001
The most popular lossy image compression method used on the Internet is the JPEG standard. JPEG's good compression performance and low computational and memory complexity make it an attractive method for natural image compression. Nevertheless, as we go to low bit rates that imply lower quality, JPEG introduces disturbing artifacts.
Alfred M. Bruckstein   +2 more
openaire   +2 more sources

Source Transformation for MATLAB Automatic Differentiation. [PDF]

open access: yes, 2005
We present MSAD, a source transformation implementation of forward mode automatic differentiation for MATLAB. MSAD specialises and inlines operations from the fmad and derivvec classes of the MAD package.
Forth, Shaun A.   +3 more
core   +1 more source

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