A Neural Network-Based Application to Identify Cubic Structures in Multi Component Crystalline Materials Using X-Ray Diffraction Data.
One of the crystalline materials structures is cubic. An experimental study has been done about developing a scheme to identify the cubic structure types in single or multi component materials. This scheme is using fingerprints created from the calculation of quadratic Miller indices ratios and mat...
Main Authors: | Syukur, Mohammad, Pasha, Muhammad Fermi, Budiarto, Rahmat |
---|---|
Format: | Article |
Language: | English |
Published: |
Dr. Sang H. Lee
2007
|
Subjects: | |
Online Access: | http://eprints.usm.my/9385/1/A_Neural_Network-Based_Application_to_Indentify_Cubic_Structures_in_Multi_Component_Crystalline_Materials_Using_X-Ray_Diffraction_Data.pdf |
Similar Items
-
POSFinger: A New Fingerprint For Passive Remote Operating System Identification.
by: Manasrah, Ahmad, et al.
Published: (2007) -
High Performance Network Worm Detection Engine Using Memory Efficient Circular Buffer.
by: Budiarto, Rahmat, et al.
Published: (2007) -
Future Internet With IPv6.
by: Budiarto, Rahmat
Published: (2009) -
A Study on Techniques for Handling Transmission Error of IPV6 Packets over Fmer Optic Links
by: Budiarto, Rahmat, et al.
Published: (2010) -
Identifying And Classifying Unknown Words In Malay Texts.
by: Bali, Ranaivo-Malançon, et al.
Published: (2007)