Applied Koopman Theory for Partial Differential Equations and Data-Driven Modeling of Spatio-Temporal Systems by J. Nathan Kutz, J. L. Proctor, S. L. Brunton

“…We consider the application of Koopman theory to nonlinear partial differential equations and data-driven spatio-temporal systems. …”
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In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis by Maria Valeria Corrias, Eddi Di Marco, Carola Bonaretti, Margherita Squillario, Loredana Amoroso, Massimo Conte, Mirco Ponzoni, Roberto Biassoni

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Partial Discharge Localization Method Based on UHF Wireless Sensor Array in Air-insulated Substation by Shuai YAN, Pengyu LI, Gaojie WANG, Qiang LI, Fan WU, Lingen LUO

“…To achieve comprehensive insulation deterioration monitoring of power equipment and fault early-warning of air-insulated substations, we propose a data-driven partial discharge (PD) source localization methodology based on received signal strength indicator (RSSI) and Gaussian process classification (GPC). …”
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Insulator Partial Discharge Localization Based on Improved Wavelet Packet Threshold Denoising and <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi mathvariant="bold-italic">G</mi></mrow><mrow><mi mathvariant="bold-italic">x</mi><mi mathvariant="bold-italic">x</mi></mrow></msub><mstyle mathvariant="bold"><mo>−</mo></mstyle><mi mathvariant="bold-italic">β</mi></mrow></semantics></math></inline-formula> Generalized Cross-Correlation Algorithm by Hongxin Ji, Zijian Tang, Chao Zheng, Xinghua Liu, Liqing Liu

“…Partial discharge (PD) in insulators will not only lead to the gradual degradation of insulation performance but even cause power system failure in serious cases. …”
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The Application of Selected Hierarchical Clustering Methods for Classification the Acoustic Emission Signals Generated by Partial Discharges by Sebastian BORUCKI, Jacek ŁUCZAK, Marcin LORENC

“…Next, these sets were subjected to analysis using research algorithms consisting of selected clustering methods. …”
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Uncertainty analysis based on Bayesian inference for partial defect verification of PWR spent nuclear fuel by Hojik Kim, Hyung-Joo Choi, Woojin Kim, Seungmin Lee, Chul Hee Min, Sung-Woo Kwak

“…While detecting gross defects is relatively straightforward, identifying partial defects remain challenging. This study proposes a Bayesian inference method implemented by our newly developed Yonsei Single-photon Emission Computed Tomography version 2 (YSECT.v.2) for verifying partial defects in SNF. …”
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Development of an AI-Based Image Analysis Model for Verifying Partial Defects in Nuclear Fuel Assemblies by Seulah Kim, Dayun Park, Hyung-Joo Choi, Chulhee Min, Jaejoon Ahn

“…Traditional inspection methods, such as gamma emission tomography (GET), have limitations in terms of detecting partial defects within SNF assemblies. This study aims to increase the accuracy of SNF defect detection by optimizing artificial intelligence (AI)-based classification algorithms. …”
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PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems by Jie ZHOU, Bernardo Esono Esono Mikue, Xueying WANG, Huiting ZHOU, Hong LUO

“…Based on the non-continuous orthogonal frequency division multiplexing (NC-OFDM) model, a fusion optimization technology based on selected mapping (SLM) algorithm and partial transmit sequence (PTS) algorithm was proposed, and a system model of fusion technology was designed.Through simulation comparison with other literature methods, it was verified that the SLM-PTS fusion technology had excellent peak to average power ratio (PAPR) reduction ability, but the algorithm implementation complexity was too high.Therefore, a complementary SLM-Clipping fusion solution was proposed, and the deep learning method PAPRnet model was construted.The simulation results verif that prove the effectiveness of the method, the algorithm has an excellent PAPR suppressed effect on the NC-OFDM system, and greatly improves the computational efficiency.…”
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PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems by Jie ZHOU, Bernardo Esono Esono Mikue, Xueying WANG, Huiting ZHOU, Hong LUO

“…Based on the non-continuous orthogonal frequency division multiplexing (NC-OFDM) model, a fusion optimization technology based on selected mapping (SLM) algorithm and partial transmit sequence (PTS) algorithm was proposed, and a system model of fusion technology was designed.Through simulation comparison with other literature methods, it was verified that the SLM-PTS fusion technology had excellent peak to average power ratio (PAPR) reduction ability, but the algorithm implementation complexity was too high.Therefore, a complementary SLM-Clipping fusion solution was proposed, and the deep learning method PAPRnet model was construted.The simulation results verif that prove the effectiveness of the method, the algorithm has an excellent PAPR suppressed effect on the NC-OFDM system, and greatly improves the computational efficiency.…”
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Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

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A novel approach for solving partial integro-differential equations using optimal perturbation iteration method by Noor S. Rahmah, Osama H. Mohammed

“…We present a novel and effective algorithm to solve non-linear fractional order partial integro-differential equations which is based on the optimal perturbation iteration transform method. …”
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Image Segmentation Method for an Illumination Highlight Region of Interior Design Effects Based on the Partial Differential Equation by Lina Wang, Yaoming Liu, Zhike Qian

“…This paper designs a single-target color image segmentation algorithm based on partial differential equations. …”
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression. by Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo

“…In this paper we propose a new network-based gene function prediction algorithm using a commute-time kernel and partial least squares regression (Compass). …”
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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

“…The feasibility and effectiveness of the proposed HPO algorithm are validated through a comparison with INC and Particle Swarm Optimization (PSO) methods. …”
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Optimal Fault Tolerant Control of Large-Scale Wind Turbines in the Case of the Pitch Actuator Partial Faults by Younes Ait El Maati, Lhoussain El Bahir

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A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis by Hong Nhung-Nguyen, Young-Woo Youn, Yong-Hwa Kim

“…The failure of switching or insulation occurs when the pressure rises above a specific level. Characteristics of partial discharge (PD) in VI can be used to measure the internal pressures of VI. …”
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

“…Partial shading in solar photovoltaic (PV) modules typically reduces the output current of the shaded PV module due to the reduction in the irradiance level. …”
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TLINet: A defects detection method for insulators of overhead transmission lines using partially transformer block. by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Yongming Zhang, Xiangke Jiao, Baoxi Yuan

“…First, a Multi-Branch Partially Transformer Block (MBPTB) is designed to enhance the backbone's capability in capturing global features. …”
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Trajectory-Based Optimal Area Forwarding for Infrastructure-to-Vehicle Data Delivery with Partial Deployment of Stationary Nodes by Liang-Yin Chen, Song-Tao Fu, Jing-Yu Zhang, Xun Zou, Yan Liu, Feng Yin

“…This paper proposes a trajectory-based optimal area forwarding (TOAF) algorithm tailored for multihop data delivery from infrastructure nodes (e.g., Internet access points) to moving vehicles (infrastructure-to-vehicle) in vehicular ad hoc networks (VANETs) with partial deployment of stationary nodes. …”
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