Results 231 to 240 of about 2,330,665 (285)

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm. [PDF]

Sci Rep
Bai W.
europepmc   +1 more source

PFC Simulation and Experimental Investigation of Crack Evolution and Surface Morphology in Rehbinder-Effect-Assisted Longitudinal-Torsional Ultrasonic Vibration Milling of Borosilicate Glass. [PDF]

Materials (Basel)
Yi J, Wang R, Wang T, Liu X, Li C, Xiang J.   +5 more
europepmc   +1 more source

Intelligent prediction and optimization of nanofluid-assisted turning using hybrid generative deep learning. [PDF]

Sci Rep
Sahu NK, Raju RA, Patel R, Jaiswal A.
europepmc   +1 more source

Regression-Based Prediction of Surface Microgeometry in Biopolymers Processed for Dental Applications. [PDF]

Biomimetics (Basel)
Duplák J, Mikuláško S.
europepmc   +1 more source

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On the Accuracy of Time Measurements in Virtual Machines

2013 IEEE Sixth International Conference on Cloud Computing, 2013
While cloud computing permits access to a large pool of experimental infrastructure, the most common form - virtual machines - has been shown to exhibit substantial deficits with respect to the accuracy of time measurements. In our ongoing work, we provide a detailed analysis of these deficits based on various machine configurations.
Ulrich Lampe, Markus Kieselmann, André Miede, Sebastian Zöller, Ralf Steinmetz   +4 more
openaire   +1 more source

Improvement of the machining accuracy of milling robots

Production Engineering, 2014
This paper presents an approach to improve the machining accuracy of milling robots. The low static stiffness of industrial robots leads to huge deflections of the tool. Hence, robotic milling can only be applied for tasks with low accuracy requirements and minor cutting forces (e.g., deburring or trimming).
Michael F. Zaeh, Oliver Roesch
openaire   +1 more source

Control of the machining accuracy of profile grinding machines

Measurement Techniques, 1995
An active monitoring system is presented for controlling the grinding process in any type of grinding machine.
L. A. Boguslavskii, G. V. Kirsanov
openaire   +1 more source

Reliability Assessment of Machining Accuracy on Support Vector Machine

2008
In order to establish the reliability model of limited samples, a kind of support vector machine (SVM) tools LSSVM.M is used to process reliability assessment data. The choice of parameters is the key factor to affect the forecasting accuracy. To improve the accuracy, a method of advanced parameters choice is proposed, which consists of two steps ...
Chao Deng, Jun Wu 0012, Xinyu Shao
openaire   +2 more sources

Principal Components and the Accuracy of Machine Learning

1992
Induction algorithms could be positioned somewhere between witchcraft and science since extracting rules (the essence of data semantics) from an incomplete set of examples is a devil’s task. On the other hand there always has been some romanticism in the interpretation of eigenvalues.
Zbigniew Duszak, Waldemar W. Koczkodaj
openaire   +2 more sources

Enhancing Accuracy with Machine Vision

SAE Technical Paper Series, 1996
<div class="htmlview paragraph">Machine vision systems, having been in use for a number of years on specialized applications, are now being more commonly used in new machines to enhance accuracy and in older systems to achieve today's tolerance requirements without major mechanical refurbishment.
Michael Latimer, Daniel J. Mellough
openaire   +1 more source