Results 61 to 70 of about 6,830,142 (327)

Phase transformation and blanking accuracy of boron steel B1500HS during hot blanking

open access: yes工程科学学报, 2017
To investigate the microstructure transformation and the change of the dimensional accuracy of the hot blanking parts, the hot blanking experiments for B1500HS steel were performed with different temperatures and die clearance ratios.
LI Hui-ping   +3 more
doaj   +1 more source

Distributional Transformation Improves Decoding Accuracy When Predicting Chronological Age From Structural MRI

open access: yesFrontiers in Psychiatry, 2020
When predicting a certain subject-level variable (e.g., age in years) from measured biological data (e.g., structural MRI scans), the decoding algorithm does not always preserve the distribution of the variable to predict.
Joram Soch, Joram Soch, Joram Soch
doaj   +1 more source

Influence of Cutting Parameters on Surface Roughness in Grinding of 65G Steel

open access: yesTribology in Industry, 2021
This article presents an experimental research in the grinding the 65G steel. The workpiece velocity, feed rate, and cutting depth are selected as the input parameters for each experiment.
D.D. Trung
doaj   +1 more source

On the accuracy of numerical Fourier transforms

open access: yesJournal of Computational Physics, 1974
Journal of Computational Physics 16 (1974) 396-400. doi:10.1016/0021-9991(74)90049-7 ; Received by publisher: 1973-12-18 ; Harvest Date: 2016-01-04 12:20:03 ; DOI:10.1016/0021-9991(74)90049-7 ; Page Range: 396 ...
Department of Physics University of Florida Gainesville, Florida 32611, USA ( host institution )   +1 more
openaire   +3 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Numerical Accuracy Improvement by Interprocedural Program Transformation

open access: yesProceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, 2017
Floating-point numbers are used to approximate the exact real numbers in a wide range of domains like numerical simulations, embedded software, etc. However, floating-point numbers are a finite approximation of real numbers. In practice, this approximation may introduce round-off errors and this can lead to catastrophic results. To cope with this issue,
Damouche, Nasrine   +2 more
openaire   +2 more sources

The generalized Radon transform: Sampling, accuracy and memory considerations [PDF]

open access: yesPattern Recognition, 2005
The generalized Radon (or Hough) transform is a well-known tool for detecting parameterized shapes in an image. The Radon transform is a mapping between the image space and a parameter space. The coordinates of a point in the latter correspond to the parameters of a shape in the image.
Luengo Hendriks, Cris L.   +3 more
openaire   +2 more sources

SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
This paper has been accepted by ICCV ...
Tang, Song   +3 more
openaire   +2 more sources

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Image to Perturbation: An Image Transformation Network for Generating Visually Protected Images for Privacy-Preserving Deep Neural Networks

open access: yesIEEE Access, 2021
We propose a novel image transformation network for generating visually protected images for privacy-preserving deep neural networks (DNNs). The proposed transformation network is trained by using a plain image dataset so that plain images are converted ...
Hiroki Ito   +3 more
semanticscholar   +1 more source

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