High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…The attack detection in 5G SDN involves Machine learning (ML) and Deep learning (DL) algorithms to analyze large volumes of network data and identify patterns indicative of attacks. …”
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Inference for Dependent Competing Risks with Partially Observed Causes from Bivariate Inverted Exponentiated Pareto Distribution Under Generalized Progressive Hybrid Censoring by Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang

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PV Based Standalone DC -Micro Grid System for EV Charging Station with New GWO-ANFIS MPPTs under Partial Shading Conditions by R. Ragul, N. Shanmugasundaram, Mariaraja Paramasivam, Suresh Seetharaman, Sheela L. Mary Immaculate

“…The goal of this article is to use MPPTs (maximum power point trackers) to extort maximum power from best configuration or combine renewable resources and energy storage systems that all work together in off-grid for electric vehicle charging. The grey wolf algorithm (GWO) searches the MPP at partial shading condition (PSC) with following two consideration one is high oscillations around GMPPs, and other is that they are unable to track the new GMPPs after it has changed positions because the seeking agents will be busy around the previous GMPPs captured. …”
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Complex degenerate metrics in general relativity: a covariant extension of the Moore–Penrose algorithm by Arthur Garnier, Emmanuele Battista

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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In this paper, an MPSO algorithm-based MPPT tracking approach without a PID controller is proposed to achieve the maximum power point (MPP) of a PEMFC. …”
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Semi-Supervised Clustering via Constraints Self-Learning by Xin Sun

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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling by Ruochen Liu, Chenlin Ma, Wenping Ma, Yangyang Li

“…In this paper, a multipopulation particle swarm optimization (PSO) based memetic algorithm (MPSOMA) is proposed in this paper. …”
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A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network by Le Han, Hui Zhang, Nan An

“…To address this issue, we introduce the particle swarm optimization (PSO) algorithm into DQN to convert the discrete action space into a continuous one. …”
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Energy storage configuration considering user-shared costs in peak shaving auxiliary services with improved multi-objective particle swarm optimization by Yiyou Xing, Jin Shen, Xinru Li

“…Moreover, an improved particle swarm optimization algorithm, specifically adapted for this model, is developed. …”
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Optimization of Planning Layout of Urban Building Based on Improved Logit and PSO Algorithms by Yun Li, Yanping Chen, Miaoxi Zhao, Xinxin Zhai

“…Then, the bridge between logit and PSO algorithm is established by the fitness value of particle. …”
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Detection of Potentially Anomalous Cosmic Particle Tracks Acquired with CMOS Sensors: Validation of Rough k–Means Clustering with PCA Feature Extraction by Hachaj Tomasz, Piekarczyk Marcin, Wąs Jarosław

“…We present a method capable of detecting potentially anomalous cosmic particle tracks acquired with complementary metal-oxide-semiconductor (CMOS) sensors. …”
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Improving Integrated Energy Systems With Improved Particle Swarm Optimization: Co-Optimizing Renewables, Electric Vehicles, Gas Systems, and Demand Management by Vahid Khademi, Soodabeh Soleymani, Reza Sharifi, Babak Mozafari

“…The model includes key components such as distributed generation (DG), P2G, energy storage technologies (EST), electric vehicles (EVs), and DSM. An enhanced particle swarm optimization (I-PSO) algorithm is employed to tackle this nonlinear optimization challenge, offering better performance compared to other methods. …”
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Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning by Yidao Ji, Qiqi Liu, Cheng Zhou, Zhiji Han, Wei Wu

“…Drawing inspiration from the collective intelligence of animal groups and electoral processes in human societies, this study integrates hierarchical structures and group interaction behaviors into the standard Particle Swarm Optimization algorithm. Specifically, competitive and supportive behaviors are mathematically modeled to enhance particle learning strategies and improve global search capabilities in the mid-optimization phase. …”
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Cost Optimization of a M/M/1/Wv&Mav Queueing System Using Newton-Raphson and Particle Swarm Optimization Techniques by Ramachandran Remya, Amina Angelika Bouchentouf, Kaliappan Kalidass

“…Further, we carried out a comparative analysis to obtain the minimum cost using the Newton-Raphson method and particle swarm optimization (PSO) algorithm. (original abstract)…”
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A Harmony Search Algorithm for the Reproduction of Experimental Data in the Social Force Model by Osama Moh'd Alia, Mohammed Mahmod Shuaib

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A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

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A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement by Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb

“…The PSO algorithm was employed to optimize SVR hyperparameters, resulting in enhanced model accuracy and stability. …”
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An End-to-End Particle Gradation Detection Method for Earth–Rockfill Dams from Images Using an Enhanced YOLOv8-Seg Model by Yu Tang, Shixiang Zhao, Hui Qin, Pan Ming, Tianxing Fang, Jinyuan Zeng

“…The proposed model attains a mAP50 of 97.8% (base dataset) and 96.1% (on-site dataset), enabling precise segmentation of adhered and overlapped particles with various sizes. A Minimum Area Rectangle algorithm was introduced to compute the gradation, closely matching the results from manual screening. …”
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Modulation optimization method for seven-level SHEPWM inverter based on EPSO algorithm by Renzheng Wang, Yuncheng Zhang, Ying Chen, Zhenyao Xin, Di Fan

“…In this paper, a modulation optimization method for seven-level SHEPWM inverter based on the Evolutionary Particle Swarm Optimization (EPSO) algorithm is proposed to address this problem, so that the algorithm quickly converges to the global optimum solution. …”
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