Results 81 to 90 of about 47,265 (300)
Exploring Curvature Effects in Direct‐Written 3D Curved Hollow Magnetic Nanoshells
Fabricated by a hybrid FEBID/CVD method, 3D PtC/Co3Fe core–shell heterostructures with engineered curvature and shell thickness exhibit complex reversal modes with axially symmetric N'eel‐type domain walls. XMCD‐PEEM combined with full‐scale micromagnetic simulations reveal how curvature and thickness govern the domain wall energy landscape and shape ...
Oleksii M. Volkov +10 more
wiley +1 more source
Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold
Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is ...
Xiaolong Hu, Hongbing Ji, Long Liu
doaj +1 more source
Asymptotic Behaviour of a Random Walk Killed on a Finite Set [PDF]
We study asymptotic behavior, for large time $n$, of the transition probability of a two-dimensional random walk killed when entering into a non-empty finite subset $A$. We show that it behaves like $4 \tilde u_A(x) \tilde u_{-A}(-y) (\lg n)^{-2} p^n(y- x)$ for large $n$, uniformly in the parabolic regime $|x|\vee |y| =O(\sqrt n)$, where $p^n(y-x)$ is ...
openaire +2 more sources
Multiple Target Tracking Using Random Finite Sets
University of Minnesota Ph.D. dissertation.January 2021. Major: Aerospace Engineering. Advisor: Richard Linares. 1 computer file (PDF); xi, 271 pages.Multiple target tracking (MTT) plays a crucial role in guidance, navigation, and control of autonomous ...
Siew, Peng Mun
core
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
In this research, a multi-channel target speech enhancement scheme is proposed that is based on deep learning (DL) architecture and assisted by multi-source tracking using a labeled random finite set (RFS) framework.
Jayanta Datta +3 more
doaj +1 more source
Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee +5 more
wiley +1 more source
Iterating random functions on a finite set
Let f_1,f_2,..., be functions chosen independently and uniformly from the set of all functions from a set of cardinality n into itself. Let g_t be the composition of the first t functions, and let T be the smallest t for which g_t is constant. We find the limiting distribution of T/n, as n --> infinity.
Goh, W. M. Y. +2 more
openaire +2 more sources
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
An Ant–Based Filtering Random–Finite–Set Approach to Simultaneous Localization and Mapping
Inspired by ant foraging, as well as modeling of the feature map and measurements as random finite sets, a novel formulation in an ant colony framework is proposed to jointly estimate the map and the vehicle trajectory so as to solve a feature-based ...
Li Demeng +4 more
doaj +1 more source

