Since updating to 1.9.9 I can't load any worfklow. I'm going to try to downgrade but I believe it comes from the update but the stacktrace being catch by the error widget makes it a bit hard to track Expected B
classifier classifier1 behavior behavior1 classifier classifier2 behavior behavior2 traffic policy policy2 match-order config classifier classifier4 behavior behavior4 # interface Vlanif200 ip address 10.3.0.1 255.255.255.0 # ...
The extracted features are then applied in a kernel classifier that uses a functional link network with random vectors21. Atomic decomposition algorithms refine PQ data to produce physically clear signals. The convolutional neural network model can then be used to select subspaces in each atomic ...
private void init() { synchronized (this) { if (sslContext != null) { LOGGER.info("ssl context is already init"); } try (FileInputStream inputStream = new FileInputStream(proxyConfig.getJksPath()); FileInputStream trustManagerInputStream = new FileInputStream(proxyConfig.getJksPath())) ...
The muscular and ocular artifacts are indicative of the workload condition for a number of participants and could in principle be used for the workload classifier. However, the goal of this analysis was to estimate the contribution of genuine brain activity to the workload level. Still, we ...
vector machine classifier (based on frontalα-band and parietal θ-band powers), performed under laboratory conditions with standard task load batteries. Once calibrated for discriminating low, medium, and high WL levels, it was shown to require no retraining of the machine learning algorithm, neith...
(CNN) is used to deal with the sEMG image from sparse multichannel sEMG (SMC-sEMG); and (3) explore whether the control system of the lower-limb exoskeleton trained by sEMG from part of the load styles still works efficiently in a real-time environment where multiload styles are required....
CPUs with the level of concurrency a workload is able to exploit. However, when more CPUs are used, the service rate per-CPU diminishes and the per-CPU schedules may differ. In this exemplary embodiment, no assumption is made about whether the schedules for multiple CPUs are synchronized. ...
Two very different supervised learning classifier architectures were used to evaluate this method, both implemented using the statistics toolbox in Matlab: support vector machine (SVM), 𝐲𝑆𝑉𝑀(𝐱𝑛)ySVM(xn) and random forests (RF), 𝐲𝑅𝐹(𝐱𝑛)yRF(xn). This was conducted...
a process for determining outlier data in a synchronized mode and an asynchronized mode can be facilitated via an automatic classifier system and process. A classifier is a function that maps an input attribute vector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongs to ...