Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

“…We propose a memory-driven algorithm that employs deep reinforcement learning to enable collision-free proactive navigation in partially observable environments. …”
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Using Image Feature Extraction to Identification of Ancient Ceramics Based on Partial Differential Equation by Chuanbao Niu, Mingzhu Zhang

“…This paper presents an in-depth study and analysis of the image feature extraction technique for ancient ceramic identification using an algorithm of partial differential equations. Image features of ancient ceramics are closely related to specific raw material selection and process technology, and complete acquisition of image features of ancient ceramics is a prerequisite for achieving image feature identification of ancient ceramics, since the quality of extracted area-grown ancient ceramic image feature extraction method is closely related to the background pixels and does not have generalizability. …”
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Partial-linear single-index Cox regression models with multiple time-dependent covariates by Myeonggyun Lee, Andrea B. Troxel, Sophia Kwon, George Crowley, Theresa Schwartz, Rachel Zeig-Owens, David J. Prezant, Anna Nolan, Mengling Liu

“…We developed an iterative estimation algorithm using spline techniques to model the nonparametric single-index component for potential nonlinear effects, followed by maximum partial likelihood estimation of the parameters. …”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

Subjects: “…Particle Swarm Optimization…”
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A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection by Sumbul Azeem, Shazia Javed, Iftikhar Naseer, Oualid Ali, Taher M. Ghazal

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Detection of out-of-seam and out-of-scope mining using double filtering method by Chong Wang, Pengzhi Cui, Guodong Song, Zhiming Xu, Jiajun Qin

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Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network by Zhongqin Xiong, Shichang Huang, Shen Ren, Yutong Lin, Zewen Li, Dongyu Li, Fangming Deng

“…By improving the inertia weight value and introducing a flight-time factor, the PSO algorithm can be improved. The parameters <i><b>C</b></i> and <i><b>g</b></i> of the SVM can be optimized based on the improved PSO algorithm. …”
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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem by Jianxia Zhang, Jianxin Zhang, Feng Zhang, Minglu Chi, Linbin Wan

“…From the simulation results, it can be seen clearly that the costs of electric-power generation gained were the lowest compared with the results of particle swarm optimization algorithm, improved chaos particle swarm optimization algorithm, and symbiotic organisms search algorithm, well demonstrating the effectiveness of the improved symbiosis particle swarm optimization algorithm in solving the economic load dispatch problem.…”
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Differential Evolution Optimized a Second-Order Divided Difference Particle Filter by Ting Cao, Huo-tao Gao, Chun-feng Sun, Guo-bao Ru

“…In order to improve the estimation accuracy of particle filter algorithm in a nonlinear system state estimation problem, a new algorithm based on the second-order divided difference filter to generate the proposed distribution and the differential evolution algorithm for resampling is proposed. …”
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An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

“…When it comes to the particle swarm optimization (PSO), the comprehensive learning PSO (CLPSO) is a well-established evolutionary algorithm that introduces a comprehensive learning strategy (CLS), which effectively boosts the efficacy of the PSO. …”
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A Partial Differential Equation-Based Image Restoration Method in Environmental Art Design by Chen Li

“…However, the model is not optimistic in generating reasonable semantic information, and for this reason, a partial differential equation-based image restoration model is proposed. …”
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Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers by Michał KUNICKI

“…This paper presents comparative analysis of various acoustic signals expected during partial discharge (PD) measurements in operating power transformer. …”
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Identification method for wheel/rail tread defects based on integrated partial convolutional network by CHENG Xiang, HE Jing, ZHANG Changfan, JIA Lin

“…To address this challenge, an integrated partial convolutional network (I-PCNet) method was proposed for identifying wheel-rail tread defects. …”
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Outage Analysis in SWIPT-Based Decode-and-Forward Relay Networks with Partial Relay Selection by Phu Tran Tin, Van-Duc Phan, Phu X. Nguyen, Thanh-Long Nguyen, Dong-Si Thien Chau, Tan N. Nguyen

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Optimization of particle swarm for force uniformity of personalized 3D printed insoles by Zhao Jiali, Liu Jinhai, Liu Yuan

“…This study investigates the application of particle swarm optimization (PSO) algorithm in optimizing the force uniformity of personalized 3D-printed insoles, aiming to enhance the comfort and functionality of the insoles. …”
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Reconstruction of Wing Structure Deformation Based on Particle Swarm Optimization Ridge Regression by Xinyi Wu, Zhiwei Xu, Jie Zeng

“…A structural deformation monitoring and reconstruction method, PSO-RR (particle swarm optimization-ridge regression) algorithm, is proposed. …”
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Design of a Novel UWB Omnidirectional Antenna Using Particle Swarm Optimization by Chengyang Yu, Tanghong Xu, Changjun Liu

“…A cooptimization method based on particle swarm optimization (PSO) algorithm and FDTD software is presented. …”
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GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications by Jialing Yan, Gang Hu, Heming Jia, Abdelazim G. Hussien, Laith Abualigah

“…To this end, we propose a particle swarm optimization algorithm with multiple swarm strategies (GPSOM) that significantly improves the algorithm’s optimization performance by designing grouping and diversification strategies for the population. …”
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Unscented Particle Smoother and Its Application to Transfer Alignment of Airborne Distributed POS by Xiaolin Gong, Xiaorui Zheng, Xing-Gang Yan, Zhaoxing Lu

“…In this paper, a nonlinear smoothing algorithm called the unscented particle smoother (UPS) is proposed and utilized in the off-line transfer alignment of airborne distributed POS. …”
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Research on Optimization Method of Coal Blending for Carbon Emission Reduction Based on Bi-level Programming by CHEN Siqin, ZHU Yinan, LI Xiaochen, WANG Xuehai

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