Multiclass crater classification using fully convolutional residual dense network
DR Home
→
Electrical Engineering
→
Dissertations and Theses (Masters and Doctoral)
→
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Multiclass crater classification using fully convolutional residual dense network
Singh, Amrita
URI:
https://repository.iitgn.ac.in/handle/123456789/8058
Date:
2022
Show full item record
Files in this item
Name:
T00999.pdf
Size:
693.6Kb
Format:
PDF
View/
Open
This item appears in the following Collection(s)
Dissertations and Theses (Masters and Doctoral)
[261]
Search Digital Repository
Search Digital Repository
This Collection
Browse
All of DSpace
Communities & Collections
Titles
Authors
By Advisor
By Issue Date
Subjects
By Type
By Degree
By Department
This Collection
Titles
Authors
By Advisor
By Issue Date
Subjects
By Type
By Degree
By Department
My Account
Login
