CrossRef Text and Data Mining
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Prediction and Comparison of Electrochemical Machining on Shape Memory Alloy(SMA) using Deep Neural Network(DNN)
Woo Jae Song, Seung Geon Choi, Eun-Sang Lee
J. Electrochem. Sci. Technol. 2019;10(3):276-283.   Published online June 14, 2019

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1D SMA Models
Shape Memory Alloy Engineering. 2015;99-140   Crossref logo
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SMA for Aeronautics
Shape Memory Alloy Engineering. 2015;275-304   Crossref logo
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Design of shape memory alloy (SMA) coil springs for actuator applications
Shape Memory and Superelastic Alloys. 2011;63-76   Crossref logo
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Design of SMA-Based Structural Actuators
Shape Memory Alloy Engineering. 2015;245-274   Crossref logo
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Design and Industrial Manufacturing of SMA Components
Shape Memory Alloy Engineering. 2015;215-244   Crossref logo
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SMA Biomedical Applications
Shape Memory Alloy Engineering. 2015;307-341   Crossref logo
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Deep memory and prediction neural network for video prediction
Neurocomputing. 2019;331:235-241   Crossref logo
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The Effects of Different Electrode Types for Obtaining Surface Machining Shape on Shape Memory Alloy Using Electrochemical Machining
IOP Conference Series: Materials Science and Engineering. 2017;205:012004   Crossref logo
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Artificial neural network prediction of wire electrical discharge machining properties on sintered porous NiTi shape memory alloy
Materials Today: Proceedings. 2018;5(2):8382-8390   Crossref logo
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EP-DNN: A Deep Neural Network-Based Global Enhancer Prediction Algorithm
Scientific Reports. 2016;6(1):   Crossref logo
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