Sensor-layout Optimization of Autonomous Vehicle Based on Perceptual Area Coverage by AN Tai, DIAO Wangcheng

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The ADBPSO-LightGBM internal threat detection framework based on hybrid data balancing by Jin-Jie Zheng, Xiu Kan, Jian-Zhen Wu, Zhen Zhang, Xiu-Yu Gao

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Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization by HU Shuang, FENG Jiao, ZHANG Zhizhong, LI Peng, ZHOU Hua

Subjects: “…constant modulus blind equalization algorithm…”
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Short-Term Power Load Forecasting Based on DPSO-LSSVM Model by Shujun Ji, Linhao Zhang, Jinteng Wang, Tao Wei, Jiadong Li, Bu Ling, Jinglong Xu, Zuoping Wu

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Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO by Dong Li, Yonghong Deng, Zhibin Li

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Semi-supervised permutation invariant particle-level anomaly detection by Gabriel Matos, Elena Busch, Ki Ryeong Park, Julia Gonski

“…However, the typical machine learning (ML) algorithms employed for this task require fixed length and ordered inputs that break the natural permutation invariance in collision events. …”
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CALCULATION MODEL OF SOLID PARTICLES MOTION IN NATURAL TURBULENT FLOWS by M. R. Magomedova

“…Such a model is implemented by integrating averaged equations and vortex formations using a mathematical apparatus.Conclusion The calculated model of the movement of solid particles is implemented in the algorithmic language Fortran Power Station and tested on the basis of field and experimental studies in a wide range of hydraulic flow characteristics and physical and mechanical characteristics of channel soils.…”
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Neural networks for the analysis of traced particles in kinetic plasma simulations by G. Torralba Paz, A. Bohdan, J. Niemiec

“…Cosmic-ray acceleration processes in astrophysical plasmas are often investigated with fully kinetic or hybrid kinetic numerical simulations, which enable us to describe a detailed microphysics of particle energization mechanisms. Tracing of individual particles in such simulations is especially useful in this regard. …”
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Application of Particle Filter to On-Board Life Estimation of LED Lights by Fazludeen Ruknudeen, Sundararajan Asokan

“…Life prediction methods based on reliability analysis and filtering algorithms proposed in the past were predominantly based on accelerated life tests and cannot be readily implemented for on-board diagnosis. …”
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Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

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Integrating multiple slack bus operations and metaheuristic techniques for power flow optimization by Swaechchha Dahal, Gunne John Hegglid, Jonas Kristiansen, Bhupendra Bimal Chhetri, Sambeet Mishra, Thomas Øyvang

Subjects: “…Cuckoo search algorithm…”
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Discovery of a novel binding pocket in PPARγ for partial agonists: structure-based virtual screening identifies ginsenoside Rg5 as a partial agonist promoting beige adipogenesis by Zhen Wang, Kexin Shui, Zehui Zhang, Yihan Chen, Nanfei Yang, Shiliang Ji, Pingping Shen, Qiang Tian, Qiang Tian

“…Selective PPARγ modulators (SPPARγMs) that target alternative binding pockets offer the potential for safer partial agonists. Here, we employed six computational algorithms (Fpocket, DeepSite, CavityPlus, DoGSiteScorer, CASTpFold, POCASA) to identify a novel allosteric pocket (pocket 6–5) in the PPARγ ligand-binding domain (LBD), localized at the helix 3 (H3), helix 2 (H2), helix 2'(H2′), and β-sheet interface. …”
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Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures by Min-Ying Li, Kang-Di Lu, Yu-Xing Dai, Guo-Qiang Zeng

“…The comprehensive simulation results demonstrate the performance of the proposed control method by comparing with a recently developed predictive functional control, genetic algorithm, and particle swarm optimization-based versions in terms of four performance indices.…”
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Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information by Peng Gong, Kai Ren, Duk Kyung Kim

“…In order to reduce the feedback overhead, another power allocation algorithm is devised based only on the partial CSI, that is, the CSI of BS-PU and the CSI of BS-CUs. …”
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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…The convergence performance and communication complexity of the dS $$^2$$ 2 PMDL algorithm are analyzed. Furthermore, experiments on multiple datasets are performed to validate the effectiveness of the proposed algorithm in semi-supervised partial multi-dimensional classification.…”
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Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping by Jiaohui Yu

“…To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. …”
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Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO by Lei ZHANG, Qin WANG

“…For multiuser massive multiple-input multiple-output (MIMO) systems, to solve the problem of underutilized spatial resources caused by centralized partially-connected structure (PCS) and fixed-matching phase-control algorithm in conventional schemes, a low complexity phased zero-forcing (PZF) hybrid precoding scheme based on distributed PCS was proposed.The logical antenna subarrays with more than the number of radio frequency (RF) chains were designed, so that each RF chain could be connected to multiple distributed subarrays to provide higher spatial diversity gain.Further, by analyzing the influence of phase-control analog precoding on zero-forcing digital precoding, a phase-control analog precoding algorithm via successively maximizing users’ total subarray gains was proposed to maximize the upper bound of system spectral efficiency.Analysis and simulation results show that, compared with the conventional schemes, the proposed scheme can significantly improve the system spectral efficiency while slightly increases the computational complexity, and it is also insensitive to imperfect channel state information.…”
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Gate construction of block-encoding for Hamiltonians needed for simulating partial differential equations by Nikita Guseynov, Xiajie Huang, Nana Liu

“…One of the most promising applications of quantum computers is solving partial differential equations (PDEs). By using the Schrödingerization technique—which converts nonconservative PDEs into Schrödinger equations—the problem can be reduced to Hamiltonian simulations. …”
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TMAC: a Transformer-based partially observable multi-agent communication method by Xuesi Li, Shuai Xue, Ziming He, Haobin Shi

“…In this article, for multi-agent communication in some partially observable scenarios, we propose a Transformer-based Partially Observable Multi-Agent Communication algorithm (TMAC), which improves agents extracting features and generating output messages. …”
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On Generalized Proportional Fractional Order Derivatives and Darboux Problem for Partial Differential Equations by Abdellatif Ben Makhlouf, Mondher Benjemaa, Djalal Boucenna, Lassaad Mchiri, Mohamed Rhaima

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