MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices
As digital transformation in manufacturing accelerates, process bottleneck prediction has emerged as a central task in industrial automation. To streamline manufacturing processes, where diverse tasks interact in complex ways, it is essential to identify in advance both the location and timing of bo...
Saved in:
Main Authors: | Seungmin Yoo, Chanyoung Oh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/14/7798 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Systems Fusion Challenge: Intelligence vs. Manufacturing in Micro Smart Factories
by: Yuran Jin, et al.
Published: (2025-06-01) -
Manufacturing strategy : the strategic management of the manufacturing function /
by: Hill, Terry
Published: (1985) -
Penerapan Machine Learning untuk Mengendalikan Parameter Budidaya Tanaman Hidroponik Berbasis Edge dan Cloud Computing
by: Helmy Helmy, et al.
Published: (2024-08-01) -
Design and Rationale of ECHO‐CLIP Study: Transcatheter Edge‐to‐Edge Repair for Mitral Regurgitation Under Solely Transesophageal Echocardiographic Guidance Compared With Fluoroscopic and Transesophageal Echocardiographic Coguidance
by: Jianrui Ma, et al.
Published: (2025-07-01) -
Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy
by: Jaeseok Jang, et al.
Published: (2025-01-01)