Surface modification of multi-directional forged biodegradable Mg-Zn alloy by ball burnishing process: Modeling and analysis using deep neural network

2021 ◽  
Vol 68 ◽  
pp. 423-434
Author(s):  
S. Ramesh ◽  
Gajanan Anne ◽  
Nagaraj Bhat ◽  
Ganesh Aithal ◽  
H. Shivananda Nayaka ◽  
...  
Keyword(s):  
Neural Network ◽  
Surface Modification ◽  
Process Modeling ◽  
Deep Neural Network ◽  
Ball Burnishing ◽  
Modeling And Analysis ◽  
Burnishing Process ◽  
Zn Alloy

Predictive Modelling of Ball Burnishing Process Using Regression Analysis and Neural Network

2013 ◽  
Vol 55 (3) ◽  
pp. 187-192 ◽  
Author(s):  
Esme Ugur ◽  
Mustafa Kemal Kulekci ◽  
Sueda Ozgun ◽  
Yigit Kazancoglu
Keyword(s):  
Neural Network ◽  
Regression Analysis ◽  
Predictive Modelling ◽  
Ball Burnishing ◽  
Burnishing Process

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification

Method of determination of the text direction on the image with the use of convolutional neural network

2020 ◽  
pp. 96-99
Author(s):  
P.L. Nikolaev
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Binary Classification ◽  
Synthetic Data ◽  
Real Data ◽  
Method Of Determination ◽  
Classification Of Images

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.

Underwater Fish Images Classification by Deep Neural Network

2020 ◽  
Author(s):  
Ala Supriya ◽  
Chiluka Venkat ◽  
Aliketti Deepak ◽  
GV Hari Prasad
Keyword(s):  
Neural Network ◽  
Deep Neural Network
Sign in / Sign up

Export Citation Format

Share Document