Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

22 September 2022

Papers citing "Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey"

6 / 6 papers shown

Title
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 46 0 0 24 Mar 2025
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach Omar Mameche Abdelhadi Abedou Taqwa Mezaache Mohamed Tadjine 59 0 0 09 Mar 2025
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 41 8 0 26 Mar 2024
Machine learning for industrial sensing and control: A survey and practical perspective Nathan P. Lawrence S. Damarla Jong Woo Kim Aditya Tulsyan Faraz Amjad Kai Wang Benoît Chachuat Jong Min Lee Biao Huang R. Bhushan Gopaluni AI4CE 35 20 0 24 Jan 2024
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 36 45 0 07 Nov 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017