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Pre-trained multi-scale RWKV-GCN for multivariate time series forecasting. [PDF]
Sci RepHao J, Liu F, Zhang W.
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A new family of alpha power-G using cosine function with applications and regression modeling. [PDF]
Sci RepAlghamdi AS, ALoufi SF.
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MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction. [PDF]
PLoS Comput BiolZhao M +5 more
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ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Two basic approaches to adaptive signal processing are in common use. The first and most direct involves substituting data-derived estimates of signal and noise autocorrelations into the standard Wiener-Hopf equation. The second uses a stochastic algorithm, such as the LMS, to minimize the mean square error directly.
S. Sharpe, L. Nolte
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Two basic approaches to adaptive signal processing are in common use. The first and most direct involves substituting data-derived estimates of signal and noise autocorrelations into the standard Wiener-Hopf equation. The second uses a stochastic algorithm, such as the LMS, to minimize the mean square error directly.
S. Sharpe, L. Nolte
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Infusing MSE Topics into Non-MSE Curricula: A Multidisciplinary Effort
MRS Proceedings, 2000ABSTRACTFaculty members at the authors' institution are involved in multidisciplinary materials research through a National Science Foundation funded center. One goal of this center is to empower materials education through the incorporation of research outcomes into the undergraduate and graduate curricula.
Devdas M. Pai +2 more
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Efficient use of SATCOM resources in MSE networks (DAMA for MSE)
Proceedings of MILCOM '93 - IEEE Military Communications Conference, 2002The evolving AirLand Operations (ALO) concept of force deployment in the tactical arena significantly alters requirements for command, control, and communications. Communications must be maintained between widely separated groups of users (enclaves) who cannot be adequately serviced by traditional terrestrial networks.
W. Biagini, M. Masciari
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IEEE Transactions on Systems, Man, and Cybernetics, 1986
The question of using the mean squared error (MSE) measure as a quality criterion in image processing is addressed. The MSE was evaluated as a measure of perceived similarity between an original and processed picture by comparing computed MSE values with similarity judgements.
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The question of using the mean squared error (MSE) measure as a quality criterion in image processing is addressed. The MSE was evaluated as a measure of perceived similarity between an original and processed picture by comparing computed MSE values with similarity judgements.
openaire +1 more source