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Found 4 papers, 1 papers with code
On The Reliability Of Machine Learning Applications In Manufacturing Environments
The increasing deployment of advanced digital technologies such as Internet of Things (IoT) devices and Cyber-Physical Systems (CPS) in industrial environments is enabling the productive use of machine learning (ML) algorithms in the manufacturing domain.
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Additionally, we provide a baseline for the segmentation of the GI tools to promote research and algorithm development.
Ranked #2 on
Medical Image Segmentation
on Kvasir-Instrument
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
In this paper, we present the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually.
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
In this paper we present the results of a feature importance analysis of a chemical sulphonation process.
