Deep active-learning based model-synchronization of digital manufacturing stations using human-in-the-loop simulation
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep active-learning based model-synchronization of digital manufacturing stations using human-in-the-loop simulation
Authors
Keywords
-
Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 70, Issue -, Pages 436-450
Publisher
Elsevier BV
Online
2023-08-26
DOI
10.1016/j.jmsy.2023.08.012
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Outlook on human-centric manufacturing towards Industry 5.0
- (2022) Yuqian Lu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
- (2022) Baicun Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Exploring uncertainty in regression neural networks for construction of prediction intervals
- (2022) Yuandu Lai et al. NEUROCOMPUTING
- Human-cyber-physical system for operation in nuclear reactor possessing asymmetric multi-task learning-based predicting framework
- (2022) Yixiong Feng et al. JOURNAL OF MANUFACTURING SYSTEMS
- Intelligent manufacturing system with human-cyber-physical fusion and collaboration for process fine control
- (2022) Qing Liu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Towards intelligent welding systems from a HCPS perspective: A technology framework and implementation roadmap
- (2022) Baicun Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Human-centric production system simulation in mixed reality: An exemplary case of logistic facility design
- (2022) Dawi Karomati Baroroh et al. JOURNAL OF MANUFACTURING SYSTEMS
- Evidential Deep Learning for Guided Molecular Property Prediction and Discovery
- (2021) Ava P. Soleimany et al. ACS Central Science
- Special issue on human factors and ergonomics methods
- (2021) Neville A. Stanton Human Factors and Ergonomics in Manufacturing & Service Industries
- A review of uncertainty quantification in deep learning: Techniques, applications and challenges
- (2021) Moloud Abdar et al. Information Fusion
- A futuristic perspective on human-centric assembly
- (2021) Lihui Wang JOURNAL OF MANUFACTURING SYSTEMS
- Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records
- (2021) Yikuan Li et al. Scientific Reports
- A Comprehensive Survey of Neural Architecture Search
- (2021) Pengzhen Ren et al. ACM COMPUTING SURVEYS
- Digital Twin Enhanced Dynamic Job-Shop Scheduling
- (2020) Meng Zhang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
- (2020) Yuqian Lu et al. JOURNAL OF MANUFACTURING SYSTEMS
- A new learning curve with fatigue-dependent learning rate
- (2020) N. Asadayoobi et al. APPLIED MATHEMATICAL MODELLING
- A simulation-based approach to develop a holonic robotic cell
- (2019) Clint Alex Steed Industrial Robot-The International Journal of Robotics Research and Application
- Production quality and human factors engineering: A systematic review and theoretical framework
- (2018) Ahmet Kolus et al. APPLIED ERGONOMICS
- A Highway-Driving System Design Viewpoint Using an Agent-Based Modeling of an Affordance-Based Finite State Automata
- (2018) Kasin Ransikarbum et al. IEEE Access
- Active Learning for Regression Using Greedy Sampling
- (2018) Dongrui Wu et al. INFORMATION SCIENCES
- Key Contributing Factors to the Acceptance of Agents in Industrial Environments
- (2017) Stamatis Karnouskos et al. IEEE Transactions on Industrial Informatics
- An Iterative Response-Surface Methodology by Use of High-Degree-Polynomial Proxy Models for Integrated History Matching and Probabilistic Forecasting Applied to Shale-Gas Reservoirs
- (2017) Marut Wantawin et al. SPE JOURNAL
- Future directions for the development of virtual reality within an automotive manufacturer
- (2016) Glyn Lawson et al. APPLIED ERGONOMICS
- Human performance modeling for manufacturing based on an improved KNN algorithm
- (2016) Ni Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prioritization of the causal factors of fatigue in seafarers and measurement of fatigue with the application of the Lactate Test
- (2015) Elif Bal et al. SAFETY SCIENCE
- Statistical Basis for Predicting Technological Progress
- (2013) Béla Nagy et al. PLoS One
- Detecting Driver Drowsiness Based on Sensors: A Review
- (2012) Arun Sahayadhas et al. SENSORS
- A Smart Health Monitoring Chair for Nonintrusive Measurement of Biological Signals
- (2011) Hyun Jae Baek et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
- (2011) A. Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- A driver fatigue recognition model based on information fusion and dynamic Bayesian network
- (2010) Guosheng Yang et al. INFORMATION SCIENCES
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now