Classification algorithm for imbalance data of ECG based on PSOFS and TSK fuzzy system by Xinhui LI, Qing SHEN, Xiongtao ZHANG

“…A new classification model of electrocardiogram (ECG) signal based on particle swarm optimization feature selection (PSOFS) and TSK (Takagi-Sugeno-Kang) fuzzy system was proposed, i.e., parallel ensemble fuzzy neural network based on PSOFS and TSK (PE-PT-FN), which was used for ECG prediction.Each class sample in the training set was randomly sampled, and the samples obtained by randomly sampled were added.Then, the feature selection method PSOFS was carried out independently and parallelly.In PSOFS, particles that were random initial positions represent different feature subsets and converge to the optimal positions after many iterations.Each subset had a corresponding feature subset.Several groups of TSK fuzzy neural network (TSK-FNN) were trained by each feature subset in parallel.Medical researchers could effectively find the correlation between ECG signal data and different types of disease through the interpretability of the fuzzy system and the feature subsets by the PSOFS algorithm.Experiments prove that PE-PT-FN greatly improves the macro-R to 92.35% while retaining interpretability.…”
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Field Data Retrieval for Electric Vehicles and Estimating Equivalent Circuit Model Parameters via Particle Swarm Optimization by Syed Adil Sardar, Shahzad Iqbal, Jeongju Park, Sekyung Han, Woo Young Kim

“…A second-order Randle circuit (SORC) is utilized in this study to analyze the selected field data. Further, a particle swarm optimization algorithm is adapted to estimate the parameters of the SORC. …”
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A hybrid algorithm for solving fractional Fokker-Planck equations arising in physics and engineering by Ozan Özkan, Ali Kurt

“…In this work, we proposed a hybrid algorithm to approximate the solution of Conformable Fractional Fokker-Planck Equation (CFFPE). …”
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The performance evaluation of chaotic maps in estimating the shape parameters of radial basis functions to solve partial differential equations by Javad Alikhani Koupaei, Mohammad Javad Ebadi, Majid Iran Pour

Subjects: “…chaos optimization algorithms…”
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Improved QT-Opt Algorithm for Robotic Arm Grasping Based on Offline Reinforcement Learning by Haojun Zhang, Sheng Zeng, Yaokun Hou, Haojie Huang, Zhezhuang Xu

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Phase Estimation Using an Optimization Algorithm to Improve Ray-Based Blind Deconvolution Performance by Wonjun Yang, Dong-Gyun Han

“…This paper proposes a method to improve RBD performance by estimating the phase of the source waveform using an optimization algorithm. Specifically, the particle swarm optimization (PSO) algorithm is employed to minimize phase estimation errors by optimizing the time delay for each receiver to maximize the beamformer output. …”
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PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image by ZHU Liang-kuan, SHAO Si-xie, JING Wei-peng, LIU Liang

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Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques by S. Senthilkumar, V. Mohan, S. P. Mangaiyarkarasi, R. Gandhi Raj, K. Kalaivani, N. Kopperundevi, M. Chinnadurai, M. Nuthal Srinivasan, L. Ramachandran

“…Major issue in solar PV power generation is tracking of the peak power from the available multiple power peaks in the operating points. A proper MPPT algorithm is required to capture the maximum power point (MPP) from the characteristic curves of a solar PV under partial shaded conditions (PSC). …”
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Using PSO and Genetic Algorithms to Optimize ANFIS Model for Forecasting Uganda’s Net Electricity Consumption by Kürşat Ayan, Abdal Kasule

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Novel Gaussian-Decrement-Based Particle Swarm Optimization with Time-Varying Parameters for Economic Dispatch in Renewable-Integrated Microgrids by Yuan Wang, Wangjia Lu, Wenjun Du, Changyin Dong

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A Novel Algorithm for Enhancing Terrain-Aided Navigation in Autonomous Underwater Vehicles by Dan Wang, Liqiang Liu, Yueyang Ben, Liang Cao, Zhongge Dong

“…To enhance the matching accuracy under large initial position errors, an improved terrain matching algorithm comprising terrain contour matching (TERCOM), particle swarm optimization (PSO), and iterative closest contour point (ICCP), named TERCOM-PSO-ICCP, is proposed. …”
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Protection and Security Method for Multiple Energy Power Plant-Based Microgrids Using Dual Filtering Algorithm by Danni Liu, Shengda Wang, Weijia Su, Xiaojuan Zhang, Shichun Hui

“…Therefore, the paper presents a robust security & protection method for modern MEPPBM, employing a hybrid methodology using the Unscented Kalman Filter (UKF) and Particle Filter (PF) algorithms. The UKF is employed for accurate state estimation of the current & voltage signal from faulty bus. …”
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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

“…At the same time, it optimizes the classification and integration process with the help of the PSO algorithm's global search advantage. In the experimental link, we constructed an experimental dataset containing 10,000 innovation and entrepreneurship education resources, covering multi-dimensional information such as courses, cases, and teachers. …”
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Optimizing solar maximum power point tracking with adaptive PSO: A comparative analysis of inertia weight and acceleration coefficient strategies by Denesh Sooriamoorthy, Aaruththiran Manoharan, Siva Kumar Sivanesan, Soon Kian Lun, Alexander Chee Hon Cheong, Sathish Kumar Selva Perumal

“…However, conventional MPPT techniques, such as Perturb and Observe (P&O), often suffer from power losses, slow convergence, and poor performance under partial shading conditions (PSC). Metaheuristic algorithms such as Particle Swarm Optimization (PSO) are explored extensively for MPPT applications. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

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Research of fast decoding for longer constraint length convolutional codes by HUANG Xiao-ling, YANG Hua-long

Subjects: “…convolutional codes;decoding algorithm;particle swarm optimization;decoding performance…”
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Research of fast decoding for longer constraint length convolutional codes by HUANG Xiao-ling, YANG Hua-long

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Solving MRTA problem based on multi-strategy genetic algorithm by CHEN Haiyang, LIU Yan, DOU Wei, HUANG Qi

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Review on Maximum Power Point Tracking Control Strategy Algorithms for Offshore Floating Photovoltaic Systems by Lei Huang, Baoyi Pan, Shaoyong Wang, Yingrui Dong, Zihao Mou

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Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

“…The results highlight that the PSO algorithm excels in optimizing network performance, achieving remarkable results across all evaluated parameters. …”
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