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  1. 661

    A Hybrid Particle Swarm Optimizer for Curriculum Sequencing Problem by Xianjie Peng, Xiaonan Sun, Zhen He

    Published 2022-01-01
    “…As a form of swarm intelligence, particle swarm optimization (PSO) is widely used in various kinds of optimization problems. …”
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    Article
  2. 662

    N-dimensional maximum-entropy tomography via particle sampling by Austin Hoover

    Published 2025-08-01
    “…The algorithm uses particle sampling and low-dimensional density estimation to approximate large sets of high-dimensional integrals in the original MENT formulation. …”
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    Article
  3. 663

    Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters by Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong

    Published 2012-01-01
    “…To surmount these difficulties, this paper presents multitarget tracking of pedestrians in video sequences based on particle filters. In order to improve the efficiency and accuracy of the detection, the algorithm firstly obtains target regions in training frames by combining the methods of background subtraction and Histogram of Oriented Gradient (HOG) and then establishes discriminative appearance model by generating patches and constructing codebooks using superpixel and Local Binary Pattern (LBP) features in those target regions. …”
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    Article
  4. 664

    Application of the Hough Transform to Dispersion Control of Overlapping Particles and Their Agglomerates by P. V. Gulyaev

    Published 2023-10-01
    “…The dispersion control of micro- and nanoparticles by their images is of great importance for ensuring the specified properties of the particles themselves and materials based on them. The aim of this article was to consider the possibilities of using the Hough transform for dispersion control of overlapping particles and their agglomerates. …”
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    Article
  5. 665

    New Approach for Solving Three Dimensional Space Partial Differential Equation by Enadi et al.

    Published 2019-09-01
    “…This paper presents a new transform method to solve partial differential equations, for finding suitable accurate solutions in a wider domain. …”
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    Article
  6. 666

    Sequential Bearings-Only-Tracking Initiation with Particle Filtering Method by Bin Liu, Chengpeng Hao

    Published 2013-01-01
    “…This paper models the linkage uncertainty and the nonlinear/non-Gaussian estimation problem jointly with solid Bayesian formalism. A particle filtering (PF) algorithm is derived for estimating the model’s parameters in a sequential manner. …”
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    Article
  7. 667

    HGPflow: extending hypergraph particle flow to collider event reconstruction by Nilotpal Kakati, Etienne Dreyer, Anna Ivina, Francesco Armando Di Bello, Lukas Heinrich, Marumi Kado, Eilam Gross

    Published 2025-08-01
    “…A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been explored in the context of single jets. …”
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    Article
  8. 668

    Cooperative Terrain-Based GNSS-Denied Navigation With Particle Filter by Ziya Uygar Yengin, Emre Koyuncu

    Published 2025-01-01
    “…The simulation results show that the proposed algorithm performs well regarding flight accuracy in various terrains.…”
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    Article
  9. 669
  10. 670

    Improving Portfolio Management Using Clustering and Particle Swarm Optimisation by Vivek Bulani, Marija Bezbradica, Martin Crane

    Published 2025-05-01
    “…For this portfolio optimisation task, this study employs a metaheuristic approach through the Swarm Intelligence algorithm, particularly Particle Swarm Optimisation and its variants. …”
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    Article
  11. 671

    Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

    Published 2020-01-01
    “…In the model, the aerosol optical depth obtained by sun photometer CE-318 and kernel functions obtained by Mie scattering theory were used as the inputs of the neural network, particle size distributions collected by the aerodynamic particle sizer APS 3321 were used as the output, and the Levenberg–Marquardt algorithm with the fastest descending speed was adopted to train the model. …”
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    Article
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