Results 171 to 180 of about 613,974 (314)
Some new methods for numerical computation of eigenvalues [PDF]
, 1965 Tamás Frey
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
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Eigenvalues and eigenvectors of Hilbert matrices of order 3 through 10 [PDF]
, 1967 Henry E. Fettis, James C. Caslin
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
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Eigenvalues of operators in $L_p$-spaces in Markov chains with a general state space [PDF]
, 1967 Zbyněk Šidák
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On the second eigenvalue of nonlinear eigenvalue problems
Electronic Journal of Differential Equations, 2018 This article is devoted to the characterization of the second eigenvalue of nonlinear eigenvalue problems. We propose an abstract approach which allows to treat nonsmooth quasilinear problems and also to recover, in a unified way, previous results concerning the p-Laplacian.
DEGIOVANNI M., MARZOCCHI M.
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Forecasting Research Trends Using Knowledge Graphs and Large Language Models
Advanced Intelligent Systems, EarlyView.When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak +7 more
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Existence, Uniqueness, and Spectral Properties of Nonlinear Eigenvalue Problems [PDF]
, 1967 Donald S. Cohen
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Advanced Intelligent Systems, EarlyView.Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo +5 more
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Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Entropy (Basel)Deng H, Wu T.
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