Results 81 to 90 of about 495,115 (315)
A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
, 2019 Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core
Eleven Euclidean distances are enough
Journal of Number Theory, 2008 8 pages, 3 ...
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Advanced Functional Materials, EarlyView.Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Eigenvalues of Euclidean distance matrices
Journal of Approximation Theory, 1992 Let \(x_ 1,x_ 2,\dots,x_ n\) be \(n\) points (\(n>1\)) in \(R^ d\) with \(\| x_ i-x_ j\|\geq\varepsilon\) for \(i\neq j\). It is proved that the matrix \(A=(\| x_ i-x_ j\|)_{i,j=1,\dots,n}\) has an inverse \(A^{-1}\), whose norm (as an operator on \(\ell^ n_ 2\)) verifies the inequality \(\| A^{-1}\|\leq c\sqrt{d}/\varepsilon\), where \(c\) is an ...
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Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis
Advanced Healthcare Materials, EarlyView.The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra +8 more
wiley +1 more source
MATEC Web of Conferences, 2017 Most EEG–based motor imagery classification research focuses on the feature extraction phase of machine learning, neglecting the crucial part for accurate classification which is the classification.
Md Isa Nurul E’zzati +3 more
doaj +1 more source
Scientific Reports, 2023 The sequential 4-channel neuromuscular electrical stimulation (NMES), based on the normal contractile sequences of swallowing-related muscles, is a new rehabilitative treatment.
Jiwoon Lim +9 more
doaj +1 more source
Multispherical Euclidean distance matrices
Linear Algebra and its Applications, 2010 An \(n \times n\) symmetric and nonnegative matrix with zero diagonal entries \(D=(d_{ij})\) is called a Euclidean distance matrix (EDM), if there exist \(n\) points \( {\mathbf x}_1, \dots, {\mathbf x}_n \in {\mathbb R}^r\) for some \(r\) such that \(d_{ij} = \|{\mathbf x}_i - {\mathbf x}_j\|^{2}\). If the points generating \(D\) lie on \(k(
Kurata, Hiroshi, Tarazaga, Pablo
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Advanced Materials, EarlyView.Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source