Unveiling patient profiles associated with elevated Lp(a) through an unbiased clustering analysis by Miguel Saraiva, Jonatas Garcez, Beatriz Tavares da Silva, Inês Poças Ferreira, José Carlos Oliveira, Isabel Palma

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Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing by Salman Bari, Xiagong Wang, Ahmad Schoha Haidari, Dirk Wollherr

“…We exploit the locality feature of the factor graph structure to integrate the minimum curvature path and local planning computations into a unified algorithm. …”
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FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning by Meng Zhang, Jiankun Ma, Zhenxi Zhang, Feng Zhou

“…In recent years, deep learning-based automatic modulation recognition (DL-AMR) has emerged as a major research direction in this domain. Existing DL-AMR schemes primarily adopt a centralized training architecture, where a unified model is trained on a central server using local data from terminal devices. …”
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Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation by Liangcun Jiang, Jiacheng Ma, Han Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen

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Diagonal Hessian Approximation for Limited Memory Quasi-Newton via Variational Principle by Siti Mahani Marjugi, Wah June Leong

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Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks by Zhixin Fu, Keyou You

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Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search by Wenshan Qiao, Jin Hua, Meihong Chen

“…Aiming at the fact that the performance of support vector machine （SVM） in vehicle gearbox fault diagnosis is greatly affected by parameters，a new method of vehicle gearbox fault diagnosis based on improved SVM is proposed based on the research of beetle antennae search （BAS）. Compared with BAS，IBAS modified the step size formula and added Gaussian variation behavior，so that the search ability of the algorithm in the early and late period is balanced and has the ability to jump out of the local optimal，and better SVM parameters could be obtained. …”
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Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing by Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng

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Adaptively Implicit Advection for Atmospheric Flows by Hilary Weller, Christian Kühnlein, Piotr K. Smolarkiewicz

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AC Stark Effect on Vortex Spectra Generated by Circularly Polarized Pulses by Meng Li, Guizhong Zhang, Xin Ding, Jianquan Yao

“…We find that the ac Stark effect can be well characterized by the complex coefficient, as supported by the overall agreement between the momentum spectra obtained from the wave-packet theory and the local approximation ansatz. The present research may shed further light on Stark effect in laser atom interactions.…”
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Stripe segmentation of oceanic internal waves in SAR images based on SegFormer by Hong-Sheng Zhang, Ji-Yu Sun, Kai-Tuo Qi, Ying-Gang Zheng, Jiao-Jiao Lu, Yu Zhang

“…The study of oceanic internal waves remains a critical area of research within oceanography. With the rapid advancements in oceanic remote sensing and deep learning, it is now possible to extract valuable insights from vast datasets. …”
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Bound for or Bound by the March Tide: Assessing the Impacts of Literary Tourism-Exacerbated Seasonality on Cultural Destinations by Lin Liu, Qi Yan

“…Besides, it is highlighted by the research findings that the excessive growths wielded by the evoked seasonality have tempered with and eclipsed the natural uptick of local tourism development in an over drafting fashion, posing salient challenges to realization of sustainable objectives of the destination. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…The experimental results show that the algo for group intelligence outperforms another algorithm in terms of solving ability to the extent that the average optimization ability is improved by 13.45%, so the algo for group intelligence demonstrates its superior ability to take into account both local and global search. …”
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Low-Injury Rubber Tapping Robots: A Novel PSO-PID Approach for Adaptive Depth Control in <i>Hevea Brasiliensis</i> by Ruiwu Xu, Yulan Liao, Junxiao Liu, Zhifu Zhang, Xirui Zhang

“…It enhances the inertia weight of the particle swarm by introducing adaptive inertia weight, solving the shortcomings of the traditional PSO algorithm, such as insufficient local search ability and early convergence. …”
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FXLMS with Multiple Error Switching for Active Noise-Cancelling Casings by Krzysztof MAZUR, Stanisław WRONA, Anna CHRAPOŃSKA, Jarosław RZEPECKI, Marek PAWEŁCZYK

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SubsurfaceBreaks v. 1.0: a supervised detection of fault-related structures on triangulated models of subsurface homoclinal interfaces by M. P. Michalak, C. Gerhards, P. Menzel

“…<p>The study presents a novel approach for fault detection on subsurface geological homoclinal interfaces (slopes) using a supervised learning algorithm and careful input variable (feature) selection. …”
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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…To solve this model, this study innovatively designs a hybrid algorithm combining neighborhood search and swarm intelligence, integrating the advantages of local exploration and global optimization to balance the relationships among multiple objectives efficiently. …”
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THE LGORITHMIC BASICS OF MEASUREMENTS by A. A. Moskvitin, A. B. Cheboksary, A. V. Duplishchev

“…The research is based on the principle of phenomenological symmetry of Yu.I. …”
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A Sea Horse Optimization-Based Approach for PEM Fuel Cell Model Parameter Estimation by Ali Erduman, Gizem Hazar, Evrim Baran Aydın

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Engineering Safety-Oriented Blasting-Induced Seismic Wave Signal Processing: An EMD Endpoint Suppression Method Based on Multi-Scale Feature by Miao Sun, Jing Wu, Yani Lu, Fangda Yu, Hang Zhou

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