Monocular depth sensing using metalens by Yang Fan, Lin Hung-I, Chen Peng, Hu Juejun, Gu Tian

“…Passive depth sensing techniques based on a double-helix (DH) point-spread-function (PSF) feature high depth estimation precision, minimal power consumption, and reduced system complexity compared to active sensing methods. Here, we propose and experimentally implemented a polarization-multiplexed DH metalens designed using an autonomous direct search algorithm, which utilizes two contra-rotating DH PSFs encoded in orthogonal polarization states to enable monocular depth perception. …”
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Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets by Stanislav Protasov, Adil Mehmood Khan

“…Our results suggest that the algorithm can be used in large-scale applications for fast and robust classification, especially when the search index is already constructed for the data.…”
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MOSRS: An engineering multi-objective optimization through Einsteinian concept. by Vahid Goodarzimehr, João Luiz Junho Pereira, Nima Khodadadi

“…The source codes of the MOSRS algorithm are publicly available at https://nimakhodadadi.com/algorithms-%2B-codes.…”
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Dynamic pricing optimization for high-speed railway based on passenger flow assignment. by Jiren Cao, Lei Nie, Lu Tong, Zhenhuan He, Zhangjiaxuan Liu

“…The model aimed at maximize the corporate revenue and maximize passenger travel benefit, and was solved by large neighborhood search heuristic algorithm and path size logit assignment based on capacity constraint-passenger flow increment accurate algorithm. …”
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Research on Power Conversion and Control Technology of Ocean Buoy Tidal Energy Power Supply System by Changpo Song, Fengyong Sun, Fan Yang

“…To optimize output power across a wide input voltage range (40–120 V) and achieve effective power tracking control, we introduce two key innovations as follows: (1) a variable-mode inverter hybrid control strategy, combining smooth-mode switching with inverter control to enable wide gain range regulation. (2) An improved Grey Wolf Optimization (GWO) algorithm, enhanced by integrating a PSO-based elite wolf search strategy preventing local optima and maximizing power capture. …”
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Trajectory planning of seven-degree-of-freedom redundant manipulator in narrow space by Lin Zhang, Yangfan Li, Yingjie Zhang

“…In the experimental section, the I-RRT* method is compared to APF-RRT*, APF-RRT, RRT*, and RRT algorithms. …”
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Research on Credit Default Prediction Model Based on TabNet-Stacking by Shijie Wang, Xueyong Zhang

“…The particle swarm algorithm is used to optimize the hyperparameter selection and achieve automatic parameter search. …”
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An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework by Qiucheng Xu, Zhangqi Chen, Fangfang Li, Zhiyuan Shen, Wenbin Wei

“…The goal reward function was then maximized by improved Monte-Carlo tree search combined with an upper confidence bound tree. …”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…First, by focusing on the problem of expanding many nodes of the traditional 3D A* algorithm and slow operation speed, the proposed algorithm improves the node search strategy, reduces the number of node expansions, and improves the operation speed. …”
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Low-Complexity Blind Carrier Phase Recovery for C-mQAM Coherent Systems by Ping Zhang, Hongliang Ren, Mingyi Gao, Jin Lu, Zichun Le, Yali Qin, Weisheng Hu

“…Compared to the single-stage blind phase search and <italic>n</italic>-phase-shift keying partitioning algorithms, the numerical results demonstrate that the proposed two-stage algorithm shares similar phase noise tolerance and offers a lower computational complexity for a 28-GBaud back-to-back coherent optical QAM transmission system.…”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…We report a new computational approach to systematically search for SAR transfer series that combines an AS alignment algorithm with context-depending similarity assessment based on vector embeddings adapted from natural language processing. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…This algorithm utilizes the CMA-ES algorithm for feature search while also taking into account the mutual information and collinearity among features, thereby more effectively reducing redundancy features. …”
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Transient stability assessment of wind turbine grid-connected systems using ISSA-MSVR by FAN Hong, XU Yongjie, XU Tao

“…To address the issue of inaccurate transient stability analysis in power systems after wind farm integration， this paper proposes a method combining improved sparrow search algorithm （ISSA）-optimized multi-output support vector regression （MSVR）. …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…The proposed approach leverages the strengths of particle swarm optimization (PSO) by integrating it with the SPE mechanism, which effectively guides the search process towards high-quality solutions. The EHPSO algorithm is designed to balance exploration and exploitation capabilities, enabling dynamic node adjustment and ensuring robust performance across different network configurations and environmental conditions. …”
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IQGO: Iterative Quantum Gate Optimiser for Quantum Data Embedding by Tautvydas Lisas, Ruairi de Frein

“…IQGO employs a Greedy Search algorithm to optimise the quantum embedding. …”
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Modified Particle Swarm Optimization for Engineering Optimization Problems and UAV Path Planning by Xing Zhang, Gaoquan Gu, Cunsheng Zhao

“…To address these limitations, this paper proposes a modified PSO algorithm (MPSO). The MPSO incorporates several novel strategies: a Sigmoid-based nonlinear inertia weight decay function, which supports global exploration in the early stages and local refinement in later stages; a non-uniform mutation operator, which amplifies perturbation to enhance global search in the early phases and reduces perturbation to guide convergence in the later phases; and a sine-cosine disturbance strategy, which boosts solution diversity and accelerates global optimization and convergence. …”
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Research on Feature Extraction Method and Process Optimization of Rolling Bearing Faults Based on Electrostatic Monitoring by Ruochen Liu, Han Yin, Jianzhong Sun, Lanchun Zhang

“…The method maintains fast convergence while analysing the extraction effect by comparing the measured signals of rolling bearing outer ring and bearing roller faults with the traditional StOMP algorithm, and the results show that the CcStOMP algorithm has obvious advantages in accurately extracting the fault features in the electrostatic monitoring signals of rolling bearings.…”
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Nonlinear Hysteresis Parameter Identification of Piezoelectric Actuators Using an Improved Gray Wolf Optimizer with Logistic Chaos Initialization and a Levy Flight Variant by Yonggang Yan, Kangqiao Duan, Jianjun Cui, Shiwei Guo, Can Cui, Yongsheng Zhou, Junjie Huang, Geng Wang, Dengpan Zhang, Fumin Zhang

“…Compared to conventional Particle Swarm Optimization (PSO) and standard GWO, the improved algorithm demonstrates faster convergence, higher accuracy, and superior ergodicity, making it a promising tool for solving optimization problems, such as parameter identification in piezoelectric hysteresis systems. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Firstly, the sinusoidal chaos mapping strategy, the Levy flight strategy and the fusion of adaptive weight variation operators are integrated to increase the population diversity of the algorithm, broaden the search range, and augment the global optimization capability of the algorithm. …”
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Trapezoidal back projection for positron emission tomography reconstruction by Dóra Varnyú, Krisztián Paczári, László Szirmay-Kalos

“…Results The precision and speed of the proposed TBP algorithm were compared to that of the Monte Carlo back projection of 1000, 10,000 and 100,000 samples. …”
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