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A new model of parallel-machine scheduling with integral-based learning effect

Computers & industrial engineering, 2018
We introduce a new model of parallel-machine scheduling with job processing times described by proper Riemann integrals of a given function. We also formulate and prove a few properties of that model.
Bartłomiej Przybylski
semanticscholar   +1 more source

Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect

Journal of Intelligent Manufacturing, 2021
Zhao Peng   +4 more
semanticscholar   +1 more source

Scheduling problem in seru production system considering DeJong’s learning effect and job splitting

Annals of Operations Research, 2022
Zhe Zhang   +4 more
semanticscholar   +1 more source

Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Andrew Maltez Thomas   +2 more
exaly  

Generalizing from a Few Examples: A Survey on Few-shot Learning

ACM Computing Surveys, 2021
Quanming Yao, Lionel Ni, James Kwok
exaly  

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

IEEE Communications Surveys and Tutorials, 2021
Walid Saad, Ekram Hossain, Zhu Han
exaly  

A Comprehensive Survey on Transfer Learning

Proceedings of the IEEE, 2021
Dongbo Xi, Fuzhen Zhuang, Zhiyuan Qi
exaly  

Deep learning shapes single-cell data analysis

Nature Reviews Molecular Cell Biology, 2022
Dong Xu, Qin Ma
exaly  

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

ACM Computing Surveys, 2023
Subrota Kumar Mondal   +2 more
exaly  

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