Results 81 to 90 of about 4,346 (236)

Aligning Real‐Time Recurrence Computational Fluid Dynamics Simulations with Plant Data for the Ruhrstahl–Heraeus Degassing Process of Steel

open access: yessteel research international, EarlyView.
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang   +3 more
wiley   +1 more source

Generalized Labeled Multi-Bernoulli Extended Target Tracking Based on Gaussian Process Regression

open access: yesMATEC Web of Conferences, 2018
For the problems that Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter cannot accurately estimate the extended target shape and has a bad tracking performance under the condition of low SNR, a new generalized ...
Chi Luo-jia, Feng Xin-xi, Miao Lu
doaj   +1 more source

An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition [PDF]

open access: yes, 2018
This paper proposes an efficient implementation of the Poisson multi-Bernoulli mixture (PMBM) trajectory filter. The proposed implementation performs track-oriented N-scan pruning to limit complexity, and uses dual decomposition to solve the involved ...
Svensson, Lennart   +15 more
core   +1 more source

The influence of secondary reinforcement on a strut‐and‐tie model for the design of reinforced concrete corbels

open access: yesStructural Concrete, EarlyView.
Abstract In precast concrete structures, optimizing the design of corbels by considering the contributions of secondary reinforcement elements can significantly improve construction economy, especially when corbels are repeated multiple times. This paper proposes a strut‐and‐tie model for reinforced concrete corbels subjected to vertical and/or ...
Rejane Martins Fernandes Canha   +3 more
wiley   +1 more source

Distributed joint target detection, tracking and classification via Bernoulli filter

open access: yesIET Radar, Sonar & Navigation, 2022
This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network.
Gaiyou Li   +5 more
doaj   +1 more source

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

open access: yesWildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source

Tree cover and geographic origin of tree species drive bird functional groups in urban environments

open access: yesWildlife Biology, EarlyView.
Urban trees provide habitat and resources for wild species in cities and support biodiversity provision of ecosystem services, among which insect control is particularly relevant. Predators of insects are promoted by the presence of trees and, in turn, may enhance biosecurity of the trees.
Marco Basile   +2 more
wiley   +1 more source

Multiscan implementation of the trajectory poisson multi-Bernoulli mixture filter [PDF]

open access: yes, 2019
The Poisson multi-Bernoulli mixture (PMBM) and the multi-Bernoulli mixture (MBM) are two multitarget distributions for which closed-form filtering recursions exist. The PMBM has a Poisson birth process, whereas the MBM has a multi-Bernoulli birth process.
Svensson, Lennart,   +4 more
core   +1 more source

Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation [PDF]

open access: yesRadioengineering, 2020
Joint detection and tracking of drones is a challenging radar technology; especially estimating their states with unknown measurement variances. The Bayesian track-before-detect (TBD) approach is an efficient way to detect low observable targets. In this
I. M. Salim   +2 more
doaj  

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

open access: yesWildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew   +2 more
wiley   +1 more source

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