When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
Innovation in nanophotonics currently relies on human experts who synergize specialized knowledge in photonics and coding with simulation and optimization algorithms, entailing design cycles that are ...
This paper presents RocketPPA, a novel ultra-fast power, performance (delay), and area (PPA) estimator operating directly at the code-level abstraction using HDL code as input. The key technical ...
A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...
Copyright: © 2024 The Authors. Published by Elsevier B.V. Machine Learning (ML) has demonstrated its great potential on medical data analysis. Large datasets ...
Department of Physics, College of Natural and Computational Sciences, Addis Ababa University, P.O. Box 1176, Addis Ababa 1176, Ethiopia Computational Data Science, College of Natural and Computational ...
Single-cell multimodal assays provide an unprecedented opportunity for investigating heterogeneity of cell types and novel associations with disease and development. Although analyses of such ...
Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks
The objective of this study is to develop a method for alleviating a novel pattern interference toward achieving a robust myoelectric pattern-recognition control system. To this end, a framework was ...
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