EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING by I. A. Kudryavtseva

“…The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the listed algorithms are presented and a corresponding software complex based on these algorithms is developed. …”
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Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking by Ilaria Renna, Ryad Chellali, Catherine Achard

“…However there is a challenging problem: the complexity of classical algorithms that increases exponentially with the dimension of the vectors’ state becomes too difficult to handle. …”
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Systematic Review: Particle Swarm Optimization (PSO) based Load Balancing for Cloud Computing by Darakhshan Syed, Ghulam Muhammad Shaikh, Safdar Rizvi

“…Static, heuristics-based, traditional dynamic and metaheuristic-based algorithms are ways that have been used for effective load balancing. …”
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Numerical dispersed flow simulation of fire-flake particle dynamics and its learning representation by Jong-Hyun Kim, Jung Lee

“…Furthermore, we utilize these techniques to gather a synthetic dataset of detailed fire-flake particles and extend the solver to represent the movement of fire-flake particles based on learning-based approaches. …”
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Simulation study of top coal caving and conveying process based on smoothed particle hydrodynamics by LIU Bo, ZHANG Qiang, LIU Yang, DONG Xiangwei

“…Currently, in the numerical simulation research on the release laws of top coal during fully mechanized mining, complex coupling algorithms are required to address the continuity-discontinuity issues of top coal movement and ensure precise interaction of coal-rock interface information. …”
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Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization by Sumet Mehta, Fei Han, Muhammad Sohail, Bhekisipho Twala, Asad Ullah, Fasee Ullah, Arfat Ahmad Khan, Qinghua Ling

“…Traditional optimization algorithms often produce inconsistent and suboptimal results, while failing to preserve local data structures limiting both predictive accuracy and biological interpretability. …”
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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

“…The feasibility and effectiveness of the proposed HPO algorithm are validated through a comparison with INC and Particle Swarm Optimization (PSO) methods. …”
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A Novel Spherical Shortest Path Planning Method for UAVs by Fan Liu, Pengchuan Wang, Aniruddha Bhattacharjya, Qianmu Li

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Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

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A novel approach for solving partial integro-differential equations using optimal perturbation iteration method by Noor S. Rahmah, Osama H. Mohammed

“…We present a novel and effective algorithm to solve non-linear fractional order partial integro-differential equations which is based on the optimal perturbation iteration transform method. …”
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Image Segmentation Method for an Illumination Highlight Region of Interior Design Effects Based on the Partial Differential Equation by Lina Wang, Yaoming Liu, Zhike Qian

“…This paper designs a single-target color image segmentation algorithm based on partial differential equations. …”
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression. by Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo

“…In this paper we propose a new network-based gene function prediction algorithm using a commute-time kernel and partial least squares regression (Compass). …”
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Optimal Fault Tolerant Control of Large-Scale Wind Turbines in the Case of the Pitch Actuator Partial Faults by Younes Ait El Maati, Lhoussain El Bahir

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A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis by Hong Nhung-Nguyen, Young-Woo Youn, Yong-Hwa Kim

“…The failure of switching or insulation occurs when the pressure rises above a specific level. Characteristics of partial discharge (PD) in VI can be used to measure the internal pressures of VI. …”
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

“…Partial shading in solar photovoltaic (PV) modules typically reduces the output current of the shaded PV module due to the reduction in the irradiance level. …”
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TLINet: A defects detection method for insulators of overhead transmission lines using partially transformer block. by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Yongming Zhang, Xiangke Jiao, Baoxi Yuan

“…First, a Multi-Branch Partially Transformer Block (MBPTB) is designed to enhance the backbone's capability in capturing global features. …”
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Trajectory-Based Optimal Area Forwarding for Infrastructure-to-Vehicle Data Delivery with Partial Deployment of Stationary Nodes by Liang-Yin Chen, Song-Tao Fu, Jing-Yu Zhang, Xun Zou, Yan Liu, Feng Yin

“…This paper proposes a trajectory-based optimal area forwarding (TOAF) algorithm tailored for multihop data delivery from infrastructure nodes (e.g., Internet access points) to moving vehicles (infrastructure-to-vehicle) in vehicular ad hoc networks (VANETs) with partial deployment of stationary nodes. …”
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Artificial intelligence based analysis for magnetized casson fluid in partially heated cavity rooted with heated fin by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…Owning to such interest we offer artificial neural networks study of heat transfer aspects in partially heated hexagonal cavity in the presence of natural convection and magnetic field. …”
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Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems by Jongsung Kang, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, Byung Jang Jeong

“…In this paper, a partially binarized deep learning-based MUltiple SIgnal Classification (MUSIC) algorithm for estimating the angle-of-arrivals (AoAs) of multiple targets using wireless sensor array systems is proposed. …”
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