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Multi-Strategy Fusion RRT-Based Algorithm for Optimizing Path Planning in Continuous Cherry Picking
Published 2025-08-01“…This paper introduces a complete robotic harvesting solution centered on a novel path-planning algorithm: the Multi-Strategy Integrated RRT for Continuous Harvesting Path (MSI-RRTCHP) algorithm. …”
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22
A proposed algorithm for early autism screening in Polish primary care settings – a pilot study
Published 2025-07-01“…Methods Based on the literature review, the original algorithm of early autism screening employing observational tool was developed and tested. …”
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23
Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm
Published 2025-04-01“…We further propose the censored Structural Expectation-Maximization (cSEM) algorithm, an iterative score-and-search framework that integrates Monte Carlo sampling in the E-step for efficient expectation computation and employs the iterative Markov chain Monte Carlo (MCMC) algorithm in the M-step to refine the network structure and parameters. …”
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24
Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm
Published 2025-07-01“…Initially, to address the limitations of the Sparrow Search Algorithm (SSA), we propose a multi-strategy improved SSA with dynamic inertia weight (WHFSSA). …”
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25
DESIGN HYBRID META-HEURISTIC APPROACHES FOR IMPROVED RELIABILITY OPTIMIZATION
Published 2025-05-01“…This study evaluates four metaheuristic methods for SRGM variable estimation: Gravitational Search Algorithm (GSA), Sine-Cosine Algorithm (SCA), Grey-Wolf Optimizer (GWO), and Regenerative Genetic Algorithm (RGA). …”
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26
Optimization Algorithm of Adaptive Dual-layer Search Path Planning Based on Left-hand Traffic Rules in Mines
Published 2024-04-01“…The upper-layer search, employing the rapidly-exploring random tree (RRT) algorithm and accommodating the environmental characteristics of mining areas, features adaptive adjustments of search step sizes, achieving efficient searches with larger step sizes in open areas, while detailed searches with smaller step sizes in narrow or winding areas. …”
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27
TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables)
Published 2025-05-01“…Experimental results showed that: ① Compared with the Slime Mould Algorithm (SMA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Sparrow Search Algorithm (SSA), the ISMA optimization strategy demonstrated better convergence speed and optimization ability in multiple benchmark function tests. ② In the stress prediction experiment, ablation experiments verified the necessity of TCN, LSTM, and MHSA modules. ③ The ISMA-optimized TCN-LSTM-MHSA model outperformed mainstream prediction models such as BP and GRU in MAE, RMSE, and R2 metrics, showing higher prediction accuracy and stability.…”
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28
Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction
Published 2025-12-01“…The model's hyperparameters are optimized by the Improved Whale Optimization Algorithm (IWOA), which improves search efficacy by including chaotic mapping, a nonlinear shrinkage factor, and a Levy flight strategy. …”
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29
Improved active vibration control of a cantilever beam using MFC actuators with Hammerstein model-based hysteresis modeling and VSS-FxLMS control algorithm
Published 2025-06-01“…The parameter estimation of this model is optimized using an adaptive mutation factor, and multiple mutation strategy differential evolution (AmFMMDE) algorithm. Additionally, a Variable Step Size Filtered-x Least Mean Square (VSS-FxLMS) algorithm with step size adaptation based on normalized error change is utilized for effective vibration control. …”
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30
EEG channels selection for stroke patients rehabilitation using equilibrium optimizer
Published 2025-08-01“…During the preprocessing step, conventional filters and the AICA-WT (automatic independent component analysis with wavelet transform) denoising technique are employed. …”
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31
Hybrid Inertial Self-Adaptive Iterative Methods for Split Variational Inclusion Problems
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32
Intelligent System for Student Performance Prediction Using Machine Learning
Published 2024-12-01“…In this work employed three supervised machine learning algorithms: Random Forest, Extra Trees, and K-Nearest Neighbors. …”
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33
Solution for Solving Dynamic Partial Differential Equation Model of Natural Gas Pipeline Network Based on Discretization and Linearization
Published 2025-03-01“…Then, this research introduces a fast solution scheme based on the SIMPLE algorithm to address the complex problem of calculating large-scale discretized equations. …”
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34
Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies
Published 2025-01-01“…The primary objective is to optimize voltage output from PV system while concurrently maximizing power using a novel Modified Zeta-Cuk converter, coupled with Hybrid Maximum Power Point Tracking (MPPT) algorithm combining Incremental Conductance and Bat Optimization Algorithm (InC-BOA). …”
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35
A Multi-Frequency Iterative Method for Reconstruction of Rough Surfaces Separating Two Penetrable Media
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36
Let’s get in sync: current standing and future of AI-based detection of patient-ventilator asynchrony
Published 2025-03-01“…For widespread implementation to succeed, several steps, including external validation and (near) real-time employment, should be considered. …”
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37
Moving Object Detection for Video Surveillance
Published 2015-01-01“…In this paper, a novel approach of object detection for video surveillance is presented. The proposed algorithm consists of various steps including video compression, object detection, and object localization. …”
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38
Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction
Published 2020-01-01“…With a real traffic data set, the coordinate descent algorithm was employed to search and determine the optimal backtracking length of traffic sequence, and multistep delay predictions were performed to demonstrate the relationship between delay steps and prediction accuracies. …”
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39
An Improved Multi-Objective Grey Wolf Optimizer for Aerodynamic Optimization of Axial Cooling Fans
Published 2025-05-01“…Furthermore, a multi-objective optimization process coupled with the IMOGWO algorithm and Computational Fluid Dynamics (CFD) was proposed. …”
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40
Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO
Published 2025-06-01“…The algorithm includes the following steps: firstly, a coarse estimation of targets’ translational velocity at part of pulses is conducted through Fractional Fourier transform (FrFT). …”
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