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Multi-objective optimization of hybrid laser cleaning process parameters for carbon deposits based on bayesian-SVR and NSGA-II. [PDF]
Su Y +7 more
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Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites. [PDF]
Navasingh RJH +5 more
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Real-Time Intelligent Detection Algorithm for Ship Targets in High-Resolution Wide-Swath Sea Surface Images Captured by Airborne Cameras. [PDF]
Liu H +5 more
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PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning. [PDF]
Jansen SAH +8 more
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Parabolic Littlewood-Paley g-function with rough kernel
Acta Mathematica Sinica, English Series, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xue, Qing Ying +2 more
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Kernelized Fuzzy Rough Sets and Their Applications
IEEE Transactions on Knowledge and Data Engineering, 2011Kernel machines and rough sets are two classes of commonly exploited learning techniques. Kernel machines enhance traditional learning algorithms by bringing opportunities to deal with nonlinear classification problems, rough sets introduce a human-focused way to deal with uncertainty in learning problems.
Qinghua Hu +3 more
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Singular Integrals With Rough Kernels
Canadian Mathematical Bulletin, 2004AbstractIn this paper we establish the Lp boundedness of a class of singular integrals with rough kernels associated to polynomial mappings.
Al-Salman, Ahmad, Pan, Yibiao
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Certain Operators with Rough Singular Kernels
Canadian Journal of Mathematics, 2003AbstractWe study the singular integral operatordefined on all test functions f, where b is a bounded function, α ≥ 0, Ω (yʻ) is an integrable function on the unit sphere Sn-1 satisfying certain cancellation conditions. We prove that, for 1 < p < ∞, TΩ,α extends to a bounded operator from the Sobolev space to the Lebesgue space Lp with Ω being a ...
Chen, Jiecheng +2 more
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