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  1. 501

    A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

    Published 2025-04-01
    “…The simulation tool was developed using the Gazebo simulator and ROS software to evaluate potential robotic configurations within a simulated vineyard. Particle Swarm Optimization (PSO) was employed as the optimization algorithm in a finite solution space, with the performance measure based on maximizing the Manipulability Index of manipulator configurations reaching all targets. …”
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    A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

    Published 2025-01-01
    “…While the P&O method can estimate the PV maximum power under uniform irradiation, it often exhibits sluggish tracking and unstable steady-state oscillations and fails to track the global maximum power point (GMPP) under partial shading conditions (PSCs). These problems have been addressed using deep reinforcement learning algorithms, such as the deep deterministic policy gradient (DDPG) algorithm. …”
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    Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitational Search Algorithm by Soodabeh Darzi, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Balasem Salem

    Published 2014-01-01
    “…To provide a solution to this problem, artificial intelligence (AI) technique is explored in order to enhance the LCMV beamforming ability. In this paper, particle swarm optimization (PSO), dynamic mutated artificial immune system (DM-AIS), and gravitational search algorithm (GSA) are incorporated into the existing LCMV technique in order to improve the weights of LCMV. …”
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    Article
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    A topological approach to positron emission particle tracking for finding multiple particles in high noise environments by Jack A. Sykes, Andrei L. Nicuşan, Dominik Werner, Matthew T. Herald, Daniel Weston, Tzany Kokalova Wheldon, Christopher R. K. Windows-Yule

    Published 2025-04-01
    “…Abstract Positron emission particle tracking (PEPT) is an advanced imaging technique that accurately tracks the three-dimensional spatial coordinates of a radioactively-labelled particle with sub-millimetre and sub-millisecond precision. …”
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    Article
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    Wireless sensor node localization based on IPSO-MC by Yongyan LI, Jianping WU

    Published 2020-03-01
    Subjects: “…wireless sensor network;node location;particle swarm algorithm;membrane computing…”
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    Denoising of electromagnetic data from different geological blocks using a hybrid PSO-GWO algorithm and CNN by Zhong-Yuan Liu, Zhong-Yuan Liu, Zhong-Yuan Liu, Di-Quan Li, Di-Quan Li, Di-Quan Li, Yecheng Liu, Yecheng Liu, Yecheng Liu, Xian Zhang, Xian Zhang, Xian Zhang

    Published 2025-04-01
    “…This hybrid algorithm enhances CNN’s ability to extract nonlinear features and effectively separate multiple noise types, such as Gaussian white noise, impulse noise, and attenuation noise. …”
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    Article