Results 31 to 40 of about 87,335 (264)
Remote Sensing, 2021 Knowledge about the indoor occupancy is one of the important sources of information to design smart buildings. In some applications, the number of occupants in each zone is required.
Ramtin Rabiee, Johannes Karlsson
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Smooth Variable Structure Filter in Random Finite Set Applications
IEEE AccessData association and filter robustness are two key problems for general multiple target tracking. Classic data association methods have high computational complexity, and the gold standard Kalman Filter (KF) suffers when the motion model does not match ...
Howard Zhang +3 more
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An Ant–Based Filtering Random–Finite–Set Approach to Simultaneous Localization and Mapping
International Journal of Applied Mathematics and Computer Science, 2018 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
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Integral Representation of Coherent Lower Previsions by Super-Additive Integrals
Axioms, 2020 Coherent lower previsions generalize the expected values and they are defined on the class of all real random variables on a finite non-empty set. Well known construction of coherent lower previsions by means of lower probabilities, or by means of super ...
Serena Doria, Radko Mesiar, Adam Šeliga
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Probability on Finite Set and Real-Valued Random Variables [PDF]
Formalized Mathematics, 2009 Probability on Finite Set and Real-Valued Random Variables In the various branches of science, probability and randomness provide us with useful theoretical frameworks. The Formalized Mathematics has already published some articles concerning the probability: [23], [24], [25], and [30].
Hiroyuki Okazaki, Yasunari Shidama
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Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
Sensors, 2023 Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang +3 more
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The Hausdorff dimension and exact Hausdorff measure of random recursive sets with overlapping
International Journal of Mathematics and Mathematical Sciences, 2002 We weaken the open set condition and define a finite intersection property in the construction of the random recursive sets. We prove that this larger class of random sets are fractals in the sense of Taylor, and give conditions when these sets have ...
Hongwen Guo, Dihe Hu
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
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Sensors, 2016 The error bound is a typical measure of the limiting performance of all filters for the given sensor measurement setting. This is of practical importance in guiding the design and management of sensors to improve target tracking performance.
Feng Lian +3 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
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