16 citations · 30 across the 3 of their papers we have counts for
3 papers
Methods for Pruning Deep Neural Networks
Sunil Vadera, Salem Ameen
This paper presents a survey of methods for pruning deep neural networks. It begins by categorising over 150 studies based on the underlying approach used and then focuses on three…
A Probabilistic Model For Sensor Validation
Pablo H. Ibarguengoytia, Luis Enrique Sucar, Sunil Vadera
The validation of data from sensors has become an important issue in the operation and control of modern industrial plants. One approach is to use knowledge based techniques to det…
Any Time Probabilistic Reasoning for Sensor Validation
Pablo H. Ibarguengoytia, Luis Enrique Sucar, Sunil Vadera
For many real time applications, it is important to validate the information received from the sensors before entering higher levels of reasoning. This paper presents an any time p…