Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…In view of the problems of low loop current and ineffective detection of traditional line protection equipment when series fault arc occurs, a fault arc recognition neural network model based on wavelet analysis and backpropagation(BP) neural network is established to identify the fault arc quickly and accurately. …”
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A psychological network approach to engagement with climate change in Dutch youth by Maien S.M. Sachisthal, Jacqueline N. Zadelaar, Maartje E.J. Raijmakers

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Reactive Power Optimization for Loss Reduction of Distribution Network Considering Interactions of High Penetration Level of Multiple Regulating Energy Resources by Xiping MA, Yaxin LI, Chen LIANG, Xiaoyang DONG, Rui XU

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Nutritional composition and health benefits of peas—a bibliometric research by Melekşen Akin, Sadiye Peral Eyduran, Jelena Mileševic, Jelena Mileševic, Suzana Pavlovic, Amil Orahovac, Marta W. Vasconcelos, Marija Knez

“…Six major international co-authorship networks were identified, highlighting significant collaborations between countries. …”
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The Impedance of East Jakarta Road Network to Estimate Fire Station Service Areas by Jarot Mulyo Semedi, Mohammad Raditia Pradana, Dhavani Ardyas Putera, Nurul Sri Rahatiningtyas

“…Using graph theory-based network analysis, the study assesses connectivity, flows, directions, and destinations to determine the coverage extent. …”
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Evolution, Growth, and Maturity of the Thematic Network in the field of Citation Bias by Elaheh Hosseini, Maral Alipour-Tehrani, Najmeh Salemi

“…Similarly, analyzing the maturity of the thematic network can provide valuable insights into how we can leverage this network to identify current trends and predict future developments. …”
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The Instantaneous Effect and Its Mechanism of Transcranial Direct Current Stimulation on Working Memory Based on Delta and Gamma Band Electroencephalography Characteristics by Pengyi Lu, Hongli Yu

“…Methods: In this study, EEG signals were recorded from different groups (working memory group, tDCS group, and sham group) and analyzed using phase–amplitude coupling, power spectral density, and brain network analysis to investigate the effect and mechanism of tDCS on working memory tasks in healthy individuals. …”
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

“…Binary code similarity detection (BCSD) aims to identify whether a pair of binary code snippets is similar, which is widely used for tasks such as malware analysis, patch analysis, and clone detection. Current state-of-the-art approaches are based on Transformer, which require substantial computation resources. …”
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NETWORK OPTIMIZATION FOR EFFICIENT DATA TRANSMISSION IN AN IOT NETWORK USING ITERATIVE HYBRID GREY WOLF COOT OPTIMIZATION AND DYNAMIC PHYSICALLY UNCLONABLE FUNCTIONS by Varalakshmi Kalluru, Azad S.M.A.K

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Analysis of non-sinusoidal modes of operation of electrical equipment in power supply systems with semiconductor converters by N. N. Dolgikh, D. S. Osipov, A. O. Shepelev, E. Yu. Shepeleva

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Identification of novel biomarkers related to pathogenesis and treatment of psoriasis based on integrated analysis of weighted gene co-expression network analysis and LASSO. by Chenguang Wang, Zhiyong Liu, Yan He, Yashu Zhang, Shiqi Chen, Yuhao Zhou, Wenqing Yang, Lijun Fan

“…Weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression were performed to identify characteristic genes and construct the diagnostic models. …”
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Gene2role: a role-based gene embedding method for comparative analysis of signed gene regulatory networks by Xin Zeng, Shu Liu, Bowen Liu, Weihang Zhang, Wanzhe Xu, Fujio Toriumi, Kenta Nakai

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Vaccines to prevent COVID-19: A living systematic review with Trial Sequential Analysis and network meta-analysis of randomized clinical trials. by Steven Kwasi Korang, Elena von Rohden, Areti Angeliki Veroniki, Giok Ong, Owen Ngalamika, Faiza Siddiqui, Sophie Juul, Emil Eik Nielsen, Joshua Buron Feinberg, Johanne Juul Petersen, Christian Legart, Afoke Kokogho, Mathias Maagaard, Sarah Klingenberg, Lehana Thabane, Ariel Bardach, Agustín Ciapponi, Allan Randrup Thomsen, Janus C Jakobsen, Christian Gluud

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Central Role of Hypertension in HIV Comorbidity Networks: A Population‐Based Study of Age and Sex‐Specific Patterns in Southwest China by Biao Yu, Ningjun Ren, Ticheng Xiao, Jinyu Chen, Zhiwen Pi, Lingxi He, Jingbo Zhang, Huachun Zou, Ailing Li, Run Chen, Xiaoxue Chen, Yanhua Chen, Fuli Huang, Hang Chen, Song Fan

“…Methods This study analyzed electronic health records of 13 884 adult people living with HIV in Luzhou, China (2001–2022). Network analysis identified central comorbidities and their interactions. …”
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Analysis of operation environment influence of 1.8 GHz TDD-LTE industry private network by Tao DU, Xiaohui DENG, Gang LI

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Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy by V. Ya. Halchenko, R. V. Trembovetska, V. V. Tychkov

“…Integration of multiple capabilities in the surrogate model that combine the advantages of high-performance computing and optimization algorithms in the factor space reduced by the Kernel PCA (Principal Component Analysis) method. The accumulated additional apriori knowledge about objects is incorporated into the neural network metamodel. …”
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Development and validation of the educational leadership scale for mental health providers: A network analysis approach by Wafa Mohammed Aldighrir

“…Furthermore, the study utilized a network perspective, incorporating Exploratory Graph Analysis (EGA) and centrality measures (betweenness, closeness, and strength). …”
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Enhancing Fault Detection and Localization in MT-MVDC Networks Using Advanced Singular Spectrum Analysis by Hossam Sabra, Amr Kassem, Ahmed A. A. Ali, Karam M. Abdel-Latif, Ahmed F. Zobaa

“…This paper presents a novel methodology for fault detection, classification, and localization in Multi-Terminal Medium Voltage Direct Current (MT-MVDC) networks. The proposed approach utilizes Singular Spectrum Analysis (SSA) to decompose measured positive and negative pole voltages, isolating the seasonal component that represents the traveling wave. …”
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Using Artificial Neural Networks for Solving Forensic Handwriting Examination Problems: Foreign Experience Analysis by V. A. Mishchuk

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What are the optimal mind-body therapies for cancer-related pain? A network meta-analysis by He Xiuyun, Liang Guangyuan, Zou Zhi, Yu Siying, Lin Youtian, Wang Yafei, Li Yinhua, Wang Yuling, Hou Xiaohui

“…However, the most effective MBTs for improving CRP in this population remain unknown. Therefore, this network meta-analysis (NMA) aimed to assess and rank the relative efficacy of different MBTs for CRP, and to conduct subgroup analyses according to different cancer types and stages of treatment.…”
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