Results 171 to 180 of about 48,454 (295)
ABSTRACT We present sufficient conditions to obtain a generalized (φ,D)$$ \left(\varphi, \mathfrak{D}\right) $$‐pullback attractor for evolution processes on time‐dependent phase spaces, where φ$$ \varphi $$ is a given decay function and D$$ \mathfrak{D} $$ is a given universe.
Matheus Cheque Bortolan+3 more
wiley +1 more source
Gaussian Estimates for the Heat Kernel of the Weighted Laplacian and Fractal Measures [PDF]
Alberto G. Setti
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Existence of Weak Solutions for a Degenerate Goursat‐Type Linear Problem
ABSTRACT For a generalization of the Gellerstedt operator with mixed‐type Dirichlet boundary conditions to a suitable Tricomi domain, we prove the existence and uniqueness of weak solutions of the linear problem and for a generalization of this problem.
Olimpio Hiroshi Miyagaki+2 more
wiley +1 more source
Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]
Jones B, Wei GW.
europepmc +1 more source
Optimal Designs for Discrete Choice Models Via Graph Laplacians. [PDF]
Röttger F, Kahle T, Schwabe R.
europepmc +1 more source
Cheeger constant and first nonzero eigenvalue of the Laplacian of a graph of small dimension [PDF]
Jacques E. Boillat
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Counting glomeruli in human kidney specimens using ex vivo MRI without contrast agents
Abstract Purpose The total number of glomeruli is an important indicator of kidney function and susceptibility to disease. Glomeruli, however, are difficult to image using MRI without contrast enhancement. For this reason, previous studies have used cationic ferritin as a contrast agent to detect glomeruli in ex vivo and in vivo perfused kidneys.
Nyoman D. Kurniawan+11 more
wiley +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL+3 more
europepmc +1 more source
The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators [PDF]
Stephen Portnoy, Roger Koenker
openalex +1 more source
Image‐Based Flaw Identification Using Convolutional Neural Network
ABSTRACT Flaw detection in structures is crucial for ensuring structural integrity and safety across various engineering applications. Traditional nondestructive evaluation (NDE) techniques often face challenges in accurately identifying and characterizing flaws, particularly when dealing with complex geometries and strain fields.
Pugazhenthi Thananjayan+2 more
wiley +1 more source