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: Combinatorial optimization is one of the promising applications of quantum computation. Variational Quantum Algorithm (VQA) is a classical-quantum hybrid algorithm framework for noisy ...
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 ...
This repository hosts the official code and datasets for the research paper Deciphering Key Factors of Active Learning Performance in Biomolecular Design. Below is the detailed directory and file ...
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 ...
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