In this paper, we consider the strong instability of standing waves for the Hartree equation with a constant magnetic field.

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

Our research proves a conjecture from string theory asserting the vanishing of a specific convolution sum arising in the 4-graviton scattering amplitude in 10-dimensional type IIB string theory. The ...

Traffic state prediction can be regarded as the problem of spatial–temporal prediction, the traffic states (volumes, speeds, occupancy, etc.) are recorded at a fixed time with corresponding locations ...

Convolutional neural networks are an important category of deep learning, currently facing the limitations of electrical frequency and memory access time in massive data processing. Optical computing ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

Currently, only 4-D input tensors (batched image-like tensors) are supported. unfoldNd implements the operation for 3d and 5d inputs and shows good performance. Like torch.nn.Fold, but supports 3d, 4d ...

Brain computer interaction (BCI) based on EEG can help patients with limb dyskinesia to carry out daily life and rehabilitation training. However, due to the low signal-to-noise ratio and large ...

School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA. Dose calculation engines uses in clinical radiation therapy treatment planning for photons primarily use model ...