Advanced Substation monitoring and control system GSM and GPS based Women Safety Alert SET-46 SET-46.Virtual distance measuring tape with GPS and LCD. Very useful for roads and buildings department IoT based Smart Parking System SET-332 SET-332. Hall Effect sensor based non-contact Tachometer ...
In other words, the weighted mean squared error loss function trains the DNN model such that certain components are more important than the rest by using the ratio of the eigenvalues that describe the explained variance of each component. The experimental results of the three specimens for each ...
] propose a method to generate an infinite dataset. First, a large number of images are collected from the Internet, and then, the structure-from-motion (SfM) and multiview stereo (MVS) method are used to generate depth maps, and these depth maps are further processed to form a large-sc...
According to an example embodiment, the obtained input is recorded in association with the settings for which the input was provided, the system thereby generating longitudinal and/or rotational maps of efficacy and side effect information arranged about the leadwire according to the actual and/or ...
transfer learning which trains a pose regressor, pre-trained as a classifier, on immense image recognition datasets. This converges to a lower error in less time, even with a very sparse training set, as compared to training from scratch. ...
The algorithm jointly trains optical flow and tracking tasks under the framework of the Siamese network. On the basis of the pyramid correlation mapping, the optical flow network is utilized to assess the movement information of the target in two contiguous frames, thereby improving the accuracy of...
[60] trains multiple weak classifier models on weighted input data. Weights are updated in such a way that the classifiers are focused on the misclassified examples from the previous training steps. Bagging [61] (or bootstrap aggregating) uses different subsets of the datasets to train the ...
They utilized a genetic algorithm search method to determine the best train trajectories. Sicre et al. [5] developed a simulation-based model for manual driving strategies that can minimize energy consumption in high-speed trains. The model used the train’s motion based on track and train ...
Then, it iteratively trains the algorithm on 𝑘−1k−1 folds, while using the remaining fold as the test set. Then, we evaluate the accuracy of the model using several metrics (Section 4.1). Algorithm 1 illustrates our machine-learning algorithm. Algorithm 1 Random Forest Regressor ...
For the sake of simplicity, equations of the currents are determined in this part only for one train, but in the simulations, some trains with various conditions will be considered in the comprehensive simulator. All electrical parameters for SVC adjustment are determined by using an advanced load...