Results 161 to 170 of about 55,553 (309)
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced Science, EarlyView.This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
VIASCKDE Index: A Novel Internal Cluster Validity Index for Arbitrary-Shaped Clusters Based on the Kernel Density Estimation. [PDF]
Comput Intell Neurosci, 2022 Şenol A.
europepmc +1 more source
Asymptotic Theory for Zero Energy Density Estimation with Nonparametric Regression Applications [PDF]
A local limit theorem is given for the sample mean of a zero energy function of a nonstationary time series involving twin numerical sequences that pass to infinity.
Peter C. B. Phillips, Qiying Wang
core
Kernel density estimation [PDF]
, 2013 There are various methods for estimating a density. A group of methods which estimate the density as a function are called nonparametric methods of density estimation. One of such methods is kernel density estimation.
Révészová, Libuša
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TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens
Advanced Science, EarlyView.ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan +10 more
wiley +1 more source
Optimal futures hedging strategies based on an improved kernel density estimation method. [PDF]
Soft comput, 2021 Yu X, Wang X, Zhang W, Li Z.
europepmc +1 more source
Double Kernel estimation of sensitivities [PDF]
This paper adresses the general issue of estimating the sensitivity of the expectation of a random variable with respect to a parameter characterizing its evolution.
Romuald Elie
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Advanced Science, EarlyView.This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen +15 more
wiley +1 more source
A general framework for statistical inference on discrete event systems. [PDF]
We present a framework for statistical analysis of discrete event systems which combines tools such as simulation of marked point processes, likelihood methods, kernel density estimation and stochastic approximation to enable statistical analysis of the ...
Koning, A.J., Nicolai, R.P.
core +1 more source
Advanced Science, EarlyView.Strong‐yet‐ductile precipitation‐hardening alloys require novel microstructural complexity of precipitates in particularly at cryogenic condition, to constantly impart strain hardening of hard‐and‐brittle precipitates. The present work creates innovative structurally complex precipitates assembled with dispersed nanocores and a chemical‐heterogeneity ...
Shaohua Gao +9 more
wiley +1 more source