Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets by Qinyuan Huang, Qiang Li, Maoxia Ran, Xin Liu, Ying Zhou

“…The frequency information in the two oscillatory components with the highest energy ratio is extracted as the internal defect features. Random forest is carried out to identify these features. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…., expert systems, traditional machine learning) can hardly cope with the complex failure modes and dynamic operation environment due to the problems of relying on artificial features and insufficient generalization ability. …”
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CFD-modeling of the temperature field of the radiator casing of the transmitting module of the active phased antenna arrays with air cooling by Yu. Nikolaenko, O. Baranyuk, S. Reva, V. Rohachov

“…The well-known circuit and technological principles for the creation of microstrip microwave multipliers are considered in the paper. The features, problems and shortcomings arising from their implementation are analyzed. …”
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Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Qinghua Li, Xuelian Yu, Jiaming Chen

“…To address the problems of feature extraction, cost of obtaining labeled samples, and large differences in domain distribution in bearing fault diagnosis on variable operating conditions, an unsupervised domain-adaptive bearing fault diagnosis method based on migration learning using MSACNN-IJMMD-DANN (multi-scale and attention-based convolutional neural network, MSACNN, improved joint maximum mean discrepancy, IJMMD, domain adversarial neural network, DANN) is proposed. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…Therefore, we propose a visual analytics system, NDEExplorer, aimed at solving these problems through visual analytics techniques. The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. …”
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Organization of competitive classes on preschoolers’ perception of fiction: reading, discussions, additional activities by Elena V. Shakirova

“…Perception of fiction is one of the types of children’s activities that allows solving problems of speech, social and communicative, cognitive, artistic and aesthetic development of the child. …”
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Sources of the mitochondrial gene pool of Russians by the results of analysis of modern and paleogenomic data by B. A. Malyarchuk

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3-D Model Extraction Network Based on RFM-Constrained Deformation Inference and Self-Similar Convolution for Satellite Stereo Images by Wen Chen, Hao Chen, Shuting Yang

“…Inspired by the implicit relationship between 2-D image features and 3-D shapes, we construct a 2-D–3-D mapping relationship to mine the depth features of remote-sensing images by incorporating the RFM. …”
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Dynamic topology adaptability of adaptive multimodal transmission strategy based on environment perception in multi-hop routing of 5G vehicle network by Shengxia Tan, Xianshuang Zong, Feng Xiao

“…Then, graph sample and aggregation (GraphSAGE) is used to process the network topology and extract node and edge features of the data. The features are input into gated recurrent unit (GRU) for time series modeling to predict the link node movement pattern. …”
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A method for mining over-limit patterns of low voltage in users based on hierarchical affinity propagation clustering by SHEN Shuhao, ZHONG Qing, XU Zhong, WANG Gang, LI Haifeng, WANG Longjun

“…Then, four indices are defined from two aspects of the duration and amplitude to characterize the features of the clusters. The features of the over-limit patterns are then drived by calculating the indices for each cluster. …”
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Legal Regulation of the Provision of Inter-Budgetary Subsidies by V. B. Bashurov

“…The purpose of the study is to consider the concept of “subsidy”, to determine the main features inherent in this legal category, to analyze inter-budgetary subsidies on their basis, to identify problems in the legal implementation of these inter-budgetary transfers, to develop proposals for their legislative resolution, to present the Author's definition of the concept of “inter-budgetary subsidies”. …”
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MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction by Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li

“…Abstract The high‐precision prediction of total ionospheric electron content (TEC) is of great significance for improving the accuracy of global navigation satellite systems. There are two problems with the current prediction of TEC: (a) The existing TEC prediction models mainly based on stacked structure, which has insufficient predictive ability when the network has fewer layers, and loss of fine‐grained features when there are more layers, resulting in a decrease in predictive performance; (b) The existing research on ionospheric TEC prediction mainly focuses on building deep learning prediction models, while there is little research on optimizing the hyper‐parameters of TEC prediction models. …”
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Autistic Sensory Traits and Psychological Distress: Mediating Role of Worry and Intolerance of Uncertainty by Patricia Recio, Pilar Pozo, Cristina García-López, Encarnación Sarriá

“…Background/Objectives: Autistic adults exhibit core and comorbid features that can have an impact on their daily functioning and lead to considerable psychological distress. …”
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An open source code for modeling radio wave propagation in earth’s ionosphere by Alexander Green, William J. Longley, Meers M. Oppenheim, Matthew A. Young

“…The FDTD method directly solves Maxwell’s equations and captures all features of electromagnetic propagation, including the effects of polarization and finite-bandwidth wave packets. …”
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Analysis of antibiotic usage in Bulgarian hospitals and development of antibiotic stewardship software solution to improve the implementation of local antibiotic stewardship polici... by Natalia Konova, Andrey Petrov, Emil Gatchev

“…AIM: Analysis of antimicrobials usage problems in Bulgarian hospitals and development of antibiotic stewardship software solution to improve implementation of local antibiotic stewardship policies and fight antimicrobial resistance (AMR) on a national level. …”
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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

“…Secondly, the multi-scale feature fusion module is incorporated to improve the model’s adaptability to disease features at different scales and improve the network classification performance. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Moreover, ANNs lack explainability in choosing optimal features and confidence in their predictions. To solve the above mentioned problems. …”
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A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. by Feng Liu, Xiao-Jing Wang

“…Perception involves two types of decisions about the sensory world: identification of stimulus features as analog quantities, or discrimination of the same stimulus features among a set of discrete alternatives. …”
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Application of texture analysis of CT and MR images to determine the histologic grade of hepatocellular cancer and it’s differential diagnosis: a review by M. Yu. Shantarevich, G. G. Karmazanovsky

“…In recent years, more foreign publications are devoted to the use of texture analysis or radiomics in solving certain diagnostic problems, including the diagnosis of hepatocellular cancer (HCC). …”
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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

“…The feature length is reduced using principal component analysis and relevant features are extracted for classification. …”
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