|
|
|
|
|
Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michal Markiewicz and Leslaw Gniewek
Using Petri nets (PNs) to control discrete event systems (DES) has many benefits, because of their graphical representations, the possibility of parallel process control, and their formal descriptions. Amongst the different PNs that are applied for this ...
ver más
|
|
|
|
|
|