Results 51 to 60 of about 86,785 (302)
Applied Sciences, 2023 The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target ...
Zongxiang Liu, Chunmei Zhou, Junwen Luo
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Karl Popper and the Mechanisms of Hydrogen Embrittlement
Advanced Engineering Materials, EarlyView.Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
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Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation
Sensors, 2016 The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets ...
Xiangyu He, Guixi Liu
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Multi-Target Tracking with Dependent Likelihood Structures in Labeled Random Finite Set Filters [PDF]
, 2021 Lingji Chen
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Maximum Antichains in Random Subsets of a Finite Set
Journal of Combinatorial Theory, Series A, 2000 This nice paper investigates the maximum antichains in random subsets of a finite set, taking every subset independently with probability \(p.\) The main result states: if \(pn/\log n \rightarrow \infty\) then the analogue of the Sperner theorem holds, namely the biggest antichain out of those random subsets is formed almost surely by all chosen ...
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Advanced Engineering Materials, EarlyView.A two‐dimensional multiscale finite element analysis framework was established for the first‐generation MoSiBTiC alloy, and the mechanical and fracture‐related parameters of the constituent phases were calibrated through experiments and simulations. The framework provides a basis for analyzing crack propagation behavior in its complex microstructure ...
Junfeng Du +4 more
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Remote Sensing, 2022 In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-quality sensing data. However, when the number of sensors to be selected is unknown in advance, sensor selection is essentially non-deterministic polynomial-hard (
Shuang Liang +3 more
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Advanced Engineering Materials, EarlyView.Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
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Extended Infrared Target Filtering via Random Finite Set and Low-Rank Matrix Decomposition
IET Signal ProcessingTarget detection in infrared remote sensing images has important practical applications. Among the current high-performance methods, the deep learning-based methods require training samples, and their generalization ability is also limited by the ...
Jian Su +4 more
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Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
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