2601.12663v1.pdf
Extension
Size
2 MiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
adfa3fd510a904bf40ec852716efab807b4811a61087caa861979d9f67d5c6fb
Annotations
Structured records describing the file.
Read moreTitle
Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning
Version
1.7
Page Count
26
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "adfa3fd510a904bf40ec852716efab807b4811a61087caa861979d9f67d5c6fb",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.12663v1.pdf",
"size": 1985763
},
"source": {
"execution_id": "70e7decb-4d02-40d2-a1a4-5eedc9a9c105",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 26,
"producer": "pikepdf 8.15.1",
"title": "Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning",
"version": "1.7"
},
"source": {
"execution_id": "5f43c70c-766f-40c6-b88c-1c617854da31",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 31
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17