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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EOQ MODEL FOR DETERIORATING AND AMELIORATING ITEMS UNDER CUBIC DEMAND AND PARTIAL BACKLOGGING by Hafizha Nur Laily, Sobri Abusini, Umu Sa’adah

“…The search algorithm of the model solution was made to get a solution from the model. …”
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New Perspective on the Conventional Solutions of the Nonlinear Time-Fractional Partial Differential Equations by Hijaz Ahmad, Ali Akgül, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu

“…This work aims to present a novel approach termed as fractional iteration algorithm-I for finding the numerical solution of nonlinear noninteger order partial differential equations. …”
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Dimensionality Reduction and Clustering Strategies for Label Propagation in Partial Discharge Data Sets by Ronaldo F. Zampolo, Frederico H. R. Lopes, Rodrigo M. S. de Oliveira, Martim F. Fernandes, Victor Dmitriev

“…In this work, we propose a label propagation algorithm applied to PRPD data sets, aiming to reduce the time necessary to manually label PRPDs. …”
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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

“…In this paper, a fractional-order predictive functional control method based on population extremal optimization is proposed to maintain the control performance against partial actuator failures. The proposed control strategy consists of two key ideas. …”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Effectively managing the intrinsic uncertainties via partially observable Markov decision processes (POMDPs) constitutes a persistent challenge within the realm of pen‐testing. …”
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UHF Partial Discharge Localization Methodology Based on Generalized Regression Neural Network by Qichen YU, Lingen LUO, Fan WU, Gehao SHENG, Xiuchen JIANG

“…Partial discharge (PD) detection and localization is an important means for condition monitoring and diagnosis of power equipment. …”
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Hybrid Fuzzy–DDPG Approach for Efficient MPPT in Partially Shaded Photovoltaic Panels by Diana Ortiz-Munoz, David Luviano-Cruz, Luis A. Perez-Dominguez, Alma G. Rodriguez-Ramirez, Francesco Garcia-Luna

“…Partial shading conditions reduce the efficiency of photovoltaic (PV) systems by introducing multiple local maxima in the power–voltage curve, complicating Maximum Power Point Tracking (MPPT). …”
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An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty by Xu Zhang, Mei Chen

“…This study proposes a mean-upper partial moment (MUPM) framework for pathfinding that explicitly considers travel time unreliability. …”
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Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. …”
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Video Recognition of Government Community Management Cases Based on Partial Differential Equation Method by Yumeng Sun

“…The experimental results show that the improved partial differential equation algorithm proposed in this paper improves the accuracy of video recognition by about 5% compared with the traditional algorithm. …”
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Partial Discharge Signal Capture of High Voltage Cable Under Deep Belief Network by GAO Baoqi, MA Hanchao, BI Yanbing, ZHANG Xiaojun, WU Suzhou

“… In order to monitor the running state of high-voltage cable in real time and ensure the safe transportation of power, a partial discharge signal capture method of high-voltage cable based on deep belief network is studied.The improved variational modal decomposition algorithm is used to remove the internal noise of the original local signal; the deep belief network capture model is established, and the limited Boltzmann machine is pre trained by contrast divergence algorithm to obtain the pre training network parameters of the capture model; using the global fine tuning capture model of adaptive moment estimation algorithm, the denoised signal is inputted into the trained capture model and the partial discharge signal is outputted.Experimental results show that the proposed method can effectively remove the internal noise from partial discharge signals.In the case of different interferences, the capture probability of this method is above 0.9, which has excellent anti-interference performance and accurately captures the partial discharge signal types caused by insulation defects.…”
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Low‐rank isomap algorithm by Eysan Mehrbani, Mohammad Hossein Kahaei

“…In this paper, we propose the Low‐Rank Isomap (LRI) algorithm by introducing a projection operator on the embedded graph from the ambient space to a low‐rank latent space to facilitate applying the partial eigenvalue decomposition. …”
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Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

“…In this paper, we consider the partially linear single-index spatial autoregressive model to analyze the dependence of the spatial units and suggest an estimation method. …”
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PHEV Routing with Hybrid Energy and Partial Charging: Solved via Dantzig–Wolfe Decomposition by Zhenhua Chen, Qiong Chen, Cheng Xue, Yiying Chao

“…This study addresses the Plug-in Hybrid Electric Vehicle Routing Problem (PHEVRP), an extension of the classical VRP that incorporates energy mode switching and partial charging strategies. We propose a novel routing model that integrates three energy modes—fuel-only, electric-only, and hybrid—along with partial recharging decisions to enhance energy flexibility and reduce operational costs. …”
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Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding by Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang

“…Comparative analysis indicates its superiority over existing algorithms in mitigating white noise and narrowband interference and more accurately restoring the partial discharge signal.…”
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Investigation on Photovoltaic Array Modeling and the MPPT Control Method under Partial Shading Conditions by Jianbo Bai, Leihou Sun, Rupendra Kumar Pachauri, Guangqing Wang

“…On the basis of a five-parameter photovoltaic (PV) mathematical model, a multipeak output model of a PV array under partial shading conditions (PSCs) is obtained by MATLAB simulation. …”
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