Results 31 to 40 of about 1,346,541 (251)
Mathematics, 2022 Artificial neural networks (ANNs), one of the most important artificial intelligence techniques, are used extensively in modeling many types of problems. A successful training process is required to create effective models with ANN. An effective training
Ebubekir Kaya
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Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion
Entropy, 2015 The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers.
Zongze Wu +3 more
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Comparing system identification techniques for identifying human-like walking controllers
Royal Society Open Science, 2021 While human walking has been well studied, the exact controller is unknown. This paper used human experimental walking data and system identification techniques to infer a human-like controller for a spring-loaded inverted pendulum (SLIP) model.
Dave Schmitthenner, Anne E. Martin
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Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
Atmosphere, 2023 Based on the basic nonlinear parameter system of the solid oxide electrolysis cell, the data-driven method was used for system identification. The basic model of the solid oxide electrolysis cell was accomplished in Simulink and experiments were ...
Dehao Hou +7 more
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Nonlinear identification of a solar heating system [PDF]
Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005 The use of solar heating systems is a way of exploiting the clean and free energy from the sun. To optimize the energy gain from such a system, where the main input, the solar insulation, is an uncontrollable variable, good model of the system dynamics are required.
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Federated Nonlinear System Identification
CoRRWe consider federated learning of linearly-parameterized nonlinear systems. We establish theoretical guarantees on the effectiveness of federated nonlinear system identification compared to centralized approaches, demonstrating that the convergence rate improves as the number of clients increases.
Omkar Tupe +3 more
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Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Molecular Oncology, EarlyView.Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
The NARX Model-Based System Identification on Nonlinear, Rotor-Bearing Systems
Applied Sciences, 2017 In practice, it is usually difficult to obtain the physical model of nonlinear, rotor-bearing systems due to uncertain nonlinearities. In order to solve this issue to conduct the analysis and design of nonlinear, rotor-bearing systems, in this study, a ...
Ying Ma +4 more
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