This paper introduces a two-level network method to model the flow characteristics of pollutant diffusion. The proposed method in this study demonstrates a significant enhancement in flow field prediction accuracy compared to traditional deep learning methods. Moreover, it improves computational efficiency...
This paper presents an approach for the prediction of incompressible laminar steady flow fields over various geometry types. In conventional approaches of
Models trained with AGs not only learn to restrain unrelated features of the input information, but also emphasize significant features useful for flow field prediction. In addition, the effects of various hyperparameters of models on convergence have been extensively investigated. The experimental ...
Transverse jet in high-speed crossflow Flow field characteristics Deep learning Fast prediction 1. Introduction High-speed missiles have garnered considerable attention in the aerospace domain on account of their rapid speed1, 2. The control efficiency of the missile rudder diminishes markedly as the ...
Tsunami prediction Usually, such finite-fault models produce good fits to observed tsunami waveforms, with only minor adjustments6,16,18,19. We model the tsunami observations using the non-hydrostatic code NEOWAVE20,21 with excitation from the seafloor motions (Fig. 3b) for the preferred two-faul...
The YOLOv5 algorithm consists of three modules: CSP-DarkNet backbone, FPN + PAN neck, and prediction head. As shown in Fig. 1, a picture with a size of 3 × 640 × 640 is input into the network. In the backbone network part, the CBS layer is used for downsampling, ...
Additionally, we utilize causal convolution and feature interaction to better extract multi-scale temporal features, so that the model can mitigate the effects of noise and improve prediction accuracy. To fast discover outliers, we train the model to output timestep anomaly scores by introducing a ...
1. A method for providing a handoff trigger in a wireless communication system, comprising the steps of: generating a mobile handoff prediction in a mobile node; generating a network handoff prediction in an acces network within radio range of said mobile node; transmitting said mobile handoff pre...
2); NN-assisted image prediction was performed with the same DeepSTORM model, assuring similar image quality as assessed for single field-of-view images (Fig. 3). This produced a large-view representation of the underlying ultrastructure of the MNTB containing a rich amount of information from...
the system may make informed predictions based on other attributes disliked by the user to determine what likely attribute is not of interest to the user. Based on the prediction, the system may display, such as through a pop up display, a selectable option to the user to allow or reject ...