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Javal Vyas, Milapji Singh Gill, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz
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Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
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Unresolved referenced work
Kept as external metadata until matched
SOSA: A lightweight ontology for sensors, observations, samples, and actuators
10.1016/j.websem.2018.06.003 · doi-reference
Digital twin in manufacturing: A categorical literature review and classification
10.1016/j.ifacol.2018.08.474 · doi-reference
Digital twin in industry: State-of-the-art
10.1109/tii.2018.2873186 · doi-reference
GPT prompt engineering for a large language model-based process improvement generation system
10.1007/s11814-024-00276-1 · doi-reference
Autonomous industrial control using an agentic framework with large language models
10.1016/j.ifacol.2025.07.170 · doi-reference
GRAPSE: Graph-based retrieval augmentation for process systems engineering
10.69997/sct.198790 · doi-reference
Multi-agent systems for chemical engineering: a review and perspective
10.1016/j.coche.2025.101209 · doi-reference
Learning to navigate a crystallization model with deep reinforcement learning
10.1016/j.cherd.2021.12.005 · doi-reference
A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors
10.1016/j.cej.2021.130993 · doi-reference
Model-based fault-tolerant control with robustness to unanticipated faults
10.1016/j.ifacol.2017.08.401 · doi-reference
Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation
10.1016/j.compchemeng.2024.108798 · doi-reference
Detection of historical alarm subsequences using alarm events and a coactivation constraint
10.1109/access.2021.3067837 · doi-reference
Fault handling in industry 4.0: Definition, process and applications
10.3390/s22062205 · doi-reference
From automated to autonomous process operations
10.1016/j.compchemeng.2025.109064 · doi-reference