Results 41 to 50 of about 9,528 (141)
Discussion on common errors in analyzing sea level accelerations, solar trends and global warming
, 2013 Errors in applying regression models and wavelet filters used to analyze geophysical signals are discussed: (1) multidecadal natural oscillations (e.g.
Scafetta, Nicola
core +1 more source
Tensor Decompositions for Modeling Inverse Dynamics
, 2017 Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
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Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models
Sensors, 2020 Local administrations are increasingly demanding real-time continuous monitoring of pollution in the sanitation system to improve and optimize its operation, to comply with EU environmental policies and to reach European Green Deal targets.
Daniel Carreres-Prieto +3 more
doaj +1 more source
Journal of Mathematics, 2023 In chemistry and medical sciences, it is essential to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. To save time and money, mathematical chemistry focuses on topological indices used in quantitative structure ...
Vignesh Ravi +5 more
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Open Journal of Physical Science (ISSN: 2734-2123), 2022 The rapid progress in fairness, transparency, and reliability is inextricably linked to Nigeria's rise as one of the continent's leading telecom markets. Path loss has been one of the key issues in providing high-quality service in the telecommunications industry.
J. Idogho, G. George
openaire +1 more source
Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation
, 2011 Volterra and polynomial regression models play a major role in nonlinear system identification and inference tasks. Exciting applications ranging from neuroscience to genome-wide association analysis build on these models with the additional requirement ...
Giannakis, Georgios B. +1 more
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Energies, 2018 Thermal load and indoor comfort level are two important building performance indicators, rapid predictions of which can help significantly reduce the computation time during design optimization. In this paper, a three-step approach is used to develop and
Yaolin Lin +4 more
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Adaptive Higher-order Spectral Estimators
, 2017 Many applications involve estimation of a signal matrix from a noisy data matrix. In such cases, it has been observed that estimators that shrink or truncate the singular values of the data matrix perform well when the signal matrix has approximately low
Gerard, David, Hoff, Peter
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A literature survey of low-rank tensor approximation techniques [PDF]
, 2013 During the last years, low-rank tensor approximation has been established as a new tool in scientific computing to address large-scale linear and multilinear algebra problems, which would be intractable by classical techniques.
Grasedyck, Lars +2 more
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Predicting Slope Stability Failure through Machine Learning Paradigms
ISPRS International Journal of Geo-Information, 2019 In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression ...
Dieu Tien Bui +4 more
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