Difference between revisions of "ML-TN-004 — Machine Learning, spectroscopy, and materials classification"

From DAVE Developer's Wiki
Jump to: navigation, search
(Created page with "{{InfoBoxTop}} {{AppliesToMachineLearning}} {{AppliesTo Machine Learning TN}} {{InfoBoxBottom}} __FORCETOC__ == History == {| class="wikitable" border="1" !Version !Date !No...")
 
(Replaced content with "{{InfoBoxTop}} {{AppliesToMachineLearning}} {{AppliesTo Machine Learning TN}} {{InfoBoxBottom}} thumb|center|200px")
(Tag: Replaced)
 
(14 intermediate revisions by the same user not shown)
Line 4: Line 4:
 
{{InfoBoxBottom}}
 
{{InfoBoxBottom}}
  
 
+
[[File:TBD.png|thumb|center|200px]]
__FORCETOC__
 
== History ==
 
{| class="wikitable" border="1"
 
!Version
 
!Date
 
!Notes
 
|-
 
|1.0.0
 
|October 2021
 
|First public release
 
|-
 
|}
 
 
 
==Introduction==
 
Classification and detection of materials is another interesting use case where Machine Learning opens the doors for promising developments. In this Technical Note (TN), different embedded platforms
 
 
 
==References==
 
*Hadi Parastara, Geert van Kollenburgb, Yannick Weesepoelc, André van den Doelb, Lutgarde Buydensb, Jeroen Jansen, ''Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity'', 2020
 
*N. Salamati, C. Fredembach, S. Susstrunk, ''Material Classification Using Color and NIR Images'', 2009
 
*Zackory Erickson, Nathan Luskey, Sonia Chernova, and Charles C. Kemp1, ''Zackory Erickson1, Nathan Luskey1, Sonia Chernova2, and Charles C. Kemp1'', 2019
 

Latest revision as of 08:11, 22 February 2022

Info Box
NeuralNetwork.png Applies to Machine Learning
TBD.png