Results 121 to 130 of about 2,784,783 (318)
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Algorithm 315: The damped Taylor's series method for minimizing a sum of squares and for solving systems of nonlinear equations [PDF]
, 1967 H. Späth
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Nitric oxide‐forming nitrite reductases in the anaerobic ammonium oxidizer Kuenenia stuttgartiensis
FEBS Open Bio, EarlyView.Anammox bacteria remove fixed nitrogen from their environment via anaerobic ammonium oxidation (anammox) with nitrite as electron acceptor and dinitrogen gas as product. The first anammox step is the conversion of nitrite to nitric oxide by nitrite reductase.
Femke J. Vermeir +4 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
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Algorithm 247: Radical-inverse quasi-random point sequence [PDF]
, 1964 John H. Halton
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FEBS Open Bio, EarlyView.Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
A hybrid container throughput forecasting approach using bi-directional hinterland data of port
Scientific ReportsAccurate forecasting of port container throughput plays a crucial role in optimising port operations, resource allocation, supply chain management, etc.
Fangli Zeng, Shuojiang Xu
doaj +1 more source
The E-algorithm and the Ford–Sidi algorithm
Journal of Computational and Applied Mathematics, 2000 Two methods for the acceleration of convergence of sequences are compared, the \(E\)-algorithm and the Ford-Sidi algorithm [cf. \textit{W. F. Ford} and \textit{A. Sidi}, SIAM J. Numer. Anal. 24, 1212-1232 (1987; Zbl 0627.65001)]. The number of arithmetic operations of these is given, and a new algorithm is presented which is slightly more efficient ...
openaire +3 more sources
FEBS Open Bio, EarlyView.We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado +4 more
wiley +1 more source