A supervised machine learning approach for the optimisation of the assembly line feeding mode selection.
Francesco ZangaroStefan MinnerDaria BattiniPublished in: Int. J. Prod. Res. (2021)
Keyphrases
- supervised machine learning
- assembly line
- mode selection
- rate distortion
- complexity reduction
- manually annotated
- motion estimation
- beam search
- production line
- manufacturing systems
- genetic algorithm
- selection scheme
- processing times
- macroblock
- supervised learning
- active learning
- machine learning
- multiple objectives
- production system
- relation extraction
- video coding
- precedence constraints
- bit rate
- coding efficiency
- distributed video coding
- ground truth
- computational complexity
- intra coding
- image coding
- mode decision