Time prediction for flexible manufacturing
Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item.
AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item.
Flexible manufacturing represents a key element of the Industry 4.0 objective. Complete automation and possibility to quickly adapt production to various customer requirements will cause considerable advances in large-scale manufacturing. Symbolic and Mac...
The AI4Robotics pilot experiment aims at demonstrating that the AI4EU Experiment function can be exploited in industrial robotics for testing robot's wear.
An AI resource to track "group-leader" social interactions within videos
LioNets technique applied to the Turbofan Engine Degradation Simulation dataset (time-series data) LioNets on Time Series