In-process Sampling
In-Process Sampling is a systematic method of data collection in continued process verification that involves the periodic extraction and analysis of samples during manufacturing to monitor process performance in real time, distinguished by its focus on operational phases prior to final product completion.
8
Publications
269
Citations
32
Authors
13
Institutions
Publications per year
2017–2026
5
8
A survey on deep learning-based Monte Carlo denoising
Yuchi Huo, Sung‐Eui Yoon · Computational Visual Media · 2021 · 65 citations · Full text
Jens Bo Holm‐Nielsen, Casper Kierulf Dahl, Kim H. Esbensen · Chemometrics and Intelligent Laboratory Systems · 2006 · 38 citations
1–5 of 8
32
1
h-index
Monterey Bay Aquarium Research Institute, United States
1 publications · 63 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 32
13

Chongqing University
Chongqing, China
1 h-index
2 publications
42 citations

Monterey Bay Aquarium Research Institute
Castroville, United States
1 h-index
9 publications
567 citations
Humboldt-Universität zu Berlin
Berlin, Germany
1 h-index
2 publications
44 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
2 publications
130 citations
University of Mannheim
Mannheim, Germany
1 h-index
1 publications
22 citations

The University of Queensland
Brisbane, Australia
1 h-index
1 publications
15 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
2 publications
46 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
21 citations
1–8 of 13
1 publications · 21 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 63 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 65 citations
1
h-index
1–5