Results 91 to 100 of about 47,868,405 (301)
Fuzzy clustering of time series gene expression data with cubic-spline [PDF]
, 2013 Data clustering techniques have been applied to ex- tract information from gene expression data for two decades. A large volume of novel clustering algorithms have been developed and achieved great success.
Ali, Akhtar, Wang, Yu, Angelova, Maia
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Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
Advanced Science, EarlyView.This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Recursive B-spline approximation using the Kalman filter
Engineering Science and Technology, an International Journal, 2017 This paper proposes a novel recursive B-spline approximation (RBA) algorithm which approximates an unbounded number of data points with a B-spline function and achieves lower computational effort compared with previous algorithms.
Jens Jauch +3 more
doaj +1 more source
Cubic spline population density functions and subcentre delimitation. The case of Barcelona [PDF]
The presence of subcentres cannot be captured by an exponential function. Cubic spline functions seem more appropriate to depict the polycentricity pattern of modern urban systems.
Anna Galindo +2 more
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Advanced Science, EarlyView.Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen +6 more
wiley +1 more source
Dual generalized B-spline functions and their applications in several approximation problems
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2015 A new construction method of dual generalized B-spline functions is presented in this paper. Due to the importance of generalized B-splines, several interesting applications of these dual functions in Computer Aided Manufacturing are also given.
Li ZHANG +3 more
doaj +1 more source
SPLINE FUNCTIONS: THEIR USE IN ESTIMATING NON-REVERSIBLE RESPONSE [PDF]
The Objectives of this paper are: (1) to introduce the concept of spline functions; and (2) to account for complete and partial non-reversibility with spline functions. This paper illustrates this approach using a supply response example.Research Methods/
Groenewegen, John
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Advanced Science, EarlyView.Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
A New Method for Deformation of B-spline Surfaces [PDF]
, 2010 This paper presents an efficient method for deforming B-spline surfaces, based on the surface energy minimization. Firstly, using an analogy between the B-spline surface patch and the thin-plate element of the finite element method, and applying external
Cheng XG(程仙国), Liu WJ(刘伟军)
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Advanced Science, EarlyView.Bioinspired passive flow routing mitigates thrombosis in cardiovascular devices by redirecting a small fraction of forward flow into stagnation‐prone regions. Inspired by avian alula and aircraft slat mechanisms, strategically placed routing channels restore washout around mechanical heart valves, reducing low‐shear exposure by four orders of magnitude
Yevgeniy Kreinin +8 more
wiley +1 more source