This chapter introduces several popular modern control theory and optimization theory–based algorithms for parameter estimation, which can be classified as adaptive algorithm‐based, gradient‐based, ...
Brain evoked potential (EP) data consist of a true response ("signal") and random background activity ("noise"), which are observed over repeated stimulus presentations ("trials"). A signal that ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...
Abstract: In practical applications, imperfections in antenna arrays and the unknown number of targets can degrade radar performance for target parameter estimation. This paper investigates the joint ...
Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
The network consists of neural networks (NNs) and a battery model. For the NNs, recurrent neural networks, namely long short-term memory (LSTM) networks, are used. The LSTM inputs historical battery ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
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