A generalised makespan estimation for shop scheduling problems, using visual data and a convolutional neural network.
Arent W. de JongJose Ildefonso U. RubricoMasaru AdachiTakayuki NakamuraJun OtaPublished in: Int. J. Comput. Integr. Manuf. (2019)
Keyphrases
- visual data
- scheduling problem
- convolutional neural network
- flowshop
- processing times
- visual information
- single machine
- face detection
- contextual information
- np hard
- high dimensional
- video data
- multimedia data
- image data
- visual features
- job shop
- parallel machines
- image sequences
- high dimensional data
- visual content
- low level
- machine learning
- video sequences
- image content
- mobile devices
- neural network
- lower bound
- semantic information
- optimal solution
- object detection
- knn
- special case