Optimal design of motion compensated diffusion gradient waveforms

The proposed method has been applied to a wide range of different classification problems, showing better overall perfor- mance when compared with the widely used methods

Thus, the main objectives of this work are (a) to assess the performance of the proposed transformer model to forecast ET 0 and to compare it to standard ML models

We also prove formally (Appendix A) that the two problems are related; in particular, the proposed problem can be derived from the LP-max problem and the optimal value of the

To check the proposed approach, the combination of novelty detectors has been compared with a traditional supervised SVM (trained with ADL and falls), both in a

Introduction: The aim of this study was to analyze functional results and range of motion and compare them between three groups of patients with total knee arthroplasty: two

The maximum friction force is equal to F = µN , where µ denotes the static and dynamic friction coefficients, here considered equal, and N is the normal force between the sliding

In the case of dataset B and B with motion, the average improvements obtained with the appearance based detectors (12.1 or 17.0% respectively) are higher than the ones obtained

In order to demonstrate the practical value of the proposed topology, we will consider the design of a bandpass filter cen- tered at the frequency of 14 GHz, and with a