The Use of Neural Networks for Testing and Failure Analysis of Electronic Devices

Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 362 K and at pressures up to 10 MPa have been examined through a consistency test presented herein and

When dealing with convolutional neural networks, in order to find the best fit- ting model, we optimized 13 hyperparameters: convolutional kernel size, pooling size, stride

The data obtained from the sensor array for the 70 honey samples were analysed by Principal Com- ponent Analysis (PCA) performed with STATIS- TICA (v. 5.1 Statsoft Inc.,

Fur- thermore we use a combination of Neural Networks and Statistical Shape Analysis to consider all kinds of linear transformations and compare the results to the one obtained by

In the present paper, we try to overcome the shortcomings associated with the use of multiple bibliometric measures by proposing a procedure to evaluate a global

The contribution of these five attributes was examined by creating 6 models and comparing the results of each model with the results of the same model when the entire attribute

sticking probability on this type of surface is thought to be about therefore this represents rou- ghly a monolayer coverage. Note that tlie overall height of the

Moreover, these reduced basis have been used sucessfully to calculate the electronic structure of the molecules. Each atom of carbon has four nearest neighbours and