FDM-Based 3D Printing of Polymer and Associated Composite
Abstract Fused deposition modelling (FDM) is one of the fastest-growing additive manufacturing methods used in printing fibre-reinforced composites (FRC). The performances of the resulting printed parts are limited compared to those by other manufacturing methods due to their inherent defects. Hence, the effort to develop treatment methods to overcome these drawbacks has accelerated during the
Blockchain and Edge Computing for Federated Learning
Abstract Federated Learning (FL) is a recent direction in Machine Learning. Whereas standard learning approaches require centralizing all the training data on one machine, FL enables training with decentralized data privately stored across many machines. This is important because in practice data may be too big to send to the central server or too sensitive
3D imaging of cells and tissues using polarized light microscopy
Abstract While polarized light and polarized fluorescence imaging are widely used as imaging tools in biological studies, it is still impossible to reveal the full, 3-dimensional anisotropy using available imaging techniques. To overcome this problem, the Oldenbourg lab at Marine Biological Laboratory, Woods Hole, MA, USA, first developed the Light Field LC-PolScope, which combines the