January 09, 2020 article Deep Learning-Based Dynamic Scheduling for Semiconductor Manufacturing With High Uncertainty of Automated Material Handling System Capability IEEE Transactions on Semiconductor Manufacturing DOI: 10.1109/tsm.2020.2965293 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 60 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward 2022 Engineering Applications of Artificial Intelligence article Engineering Scheduling and Optimization Algorithms Open access 37 citations Applied Machine Learning for Production Planning and Control: Overview and Potentials 2022 IFAC-PapersOnLine article Engineering Scheduling and Optimization Algorithms Open access 7 citations Reactive online scheduling of mobile resources for adaptive layout evolution in line-less assembly system 2022 Procedia CIRP article Engineering Flexible and Reconfigurable Manufacturing Systems Open access 2 citations 3 results References 0