Molecular imaging is redefining in vivo characterization of multiple sclerosis, a demyelinating disease with complex and heterogeneous clinical profiles. Recent advances in PET tracers enable more ...
Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...
Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...
To be considered for the online M.S. in Electrical and Computer Engineering, candidates must meet these requirements: A bachelor’s degree from an accredited four-year university in electrical ...
A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading Utility tensor and variable functions so ...