from multiscale_spatial_image.to_multiscale.to_multiscale import Methods sdata.images['my_image'] = sd.models.Image2DModel.parse( imarr, dims=['c','y','x'], c_coords ...
BOSTON--(BUSINESS WIRE)--Method AI, a medical technology company focused on improving oncology outcomes through image-guided surgical navigation, announced today it has raised $20 million in Series A ...
Wind speed forecasting plays a critical role in ensuring optimal operation and dispatch of power systems, especially with the global expansion of wind energy. However, the inherently nonstationary and ...
The current media environment is rich with opinion. Thus, offering contextual background for the data behind opinions can be just as, if not more so, important than providing the opinion itself.
We introduce a self-guided, interactive JupyterLab to familiarize undergraduate students with introductory quantum mechanics concepts. In the lab, the linear variational method is applied to a ...
Abstract: Sedimentary cycles are the fundamental building blocks of sedimentary sequences, resulting from the superposition of periodic sedimentary events at different scales. Seismic reflection data ...
ABSTRACT: Magneto-electro-elastic (MEE) materials, a new type of composite intelligent materials, exhibit excellent multifield coupling effects. Due to the heterogeneity of the materials, it is ...
Abstract: Learning-based point cloud compression has achieved great success in Rate-Distortion (RD) efficiency. Existing methods usually utilize Variational AutoEncoder (VAE) network, which might lead ...
ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...
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