Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution by Yongbin Li, Yiting Wang, Jian Li, Huanbei Zhao, Huaiyuan Wang, Litao Hu

“…Faced with such a problem, a TSA model based on the sample selection method is proposed in this paper. …”
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Power Mode of High-Speed Combined Extrusion of Flat Bimetallic Road Milling Picks by K. Y. Bykov, I. V. Kachanov, I. M. Shatalov

“…A distinctive feature of the acceleration phase is that it allows the analysis of reverse extrusion, in the process of which the metal flows in the opposite direction to the punch stroke. …”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…However, the rapid growth of PV power deployment also brings important challenges to the maintenance of PV panels, and in order to solve this problem, this paper proposes an innovative algorithm based on PA-YOLO. …”
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Maximum principle preserving the unconditionally stable method for the Allen–Cahn equation with a high-order potential by Junseok Kim

“…Furthermore, we highlighted a distinctive feature of the AC equation in modeling phase separation under noisy data conditions.…”
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ANALYSIS OF THE ESSENCE OF A CATEGORY “OFFICIAL INTERPRETATION OF LAW” by TEREKHOV E.M.

“…The author not only indicates his vision of the problem, but also offers its solution by highlighting the formal and functional sides in the essence of the official interpretation of the law. …”
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Equipment Maintenance Support Effectiveness Evaluation Based on Improved Generative Adversarial Network and Radial Basis Function Network by Zhen Li, Jianping Hao, Cuijuan Gao

“…Due to the lack of maintenance support samples, maintenance support effectiveness evaluation based on the deep neural network often faces the problem of small sample overfitting and low generalization ability. …”
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Research on Calibration Algorithm of Camera and LiDAR for Transport Vehicles in Open-pit Mines by XU Yanghan, LIN Jun, KANG Gaoqiang, YOU Jun, YUE Wei, TONG Hao

“…Based on multiple groups of feature point pairs, the external parameter matrix is obtained by EPnP algorithm. …”
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ON THE QUESTION OF CLASSIFICATIONS INTERPRETATIONAL RULES by TEREKHOV E.M.

“…The author not only indicates his vision of the problem, but also offers its solution by highlighting two independent classification groups that combine separate, according to the target feature, classifications of interpretative norms. …”
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Sensitivity Analysis and Optimization of Urban Roundabout Road Design Parameters Based on CFD by Hangyu Zhang, Sihui Dong, Shiqun Li, Shuai Zheng

“…The pressure changes in the two feature points at the entrance conflict area and the inner ring weaving area are significantly correlated with the lane number parameters. …”
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Channel state information acquisition algorithm based on deep learning for IoT by Yong LIAO, Haimei YAO, Yuanxiao HUA

“…To solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed network used convolutional neural network (CNN) to extract channel feature vectors and maxpooling to compress the data.Then the compressed CSI was decompressed by using full connection and CNN to restore the original channel.The simulation results show that compared with the existing CSI feedback methods,the CSI recovered by the proposed CSI feedback network is closer to the original channel,and the reconstruction quality is improved significantly.…”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…To address the problem of single-mode vulnerability to complex environments, a multimode fusion network with mutual attention is proposed. …”
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Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2 by Haiying Li, Qinyang Wang, Jiancheng Song

“…The objective is to solve the problem of low diagnostic performance efficiency caused by the inadequate feature extraction capability and the redundant pixels in the graph background. …”
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Fusion‐Brain‐Net: A Novel Deep Fusion Model for Brain Tumor Classification by Yasin Kaya, Ezgisu Akat, Serdar Yıldırım

“…ABSTRACT Problem Brain tumors are among the most prevalent and lethal diseases. …”
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A double broad learning approach based on variational modal decomposition for Lithium-Ion battery prognostics by Xiaojia Wang, Xinyue Guo, Sheng Xu, Xibin Zhao

“…First, we use VMD to perform adaptive decomposition of the degraded data to form intrinsic mode function (IMF) components and residual components to solve the data noise problem. Second, these two modal data of the feature extraction and modal fusion are inputted into the trained DBL model. …”
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A Novel Quadrilateral Contour Disentangled Algorithm for Industrial Instrument Reading Detection by Xiang Li, Changchang Zeng, Yong Yao, Jide Qian, Haiding Zhang, Sen Zhang, Suixian Yang

“…First, a Multi-scale Feature Pyramid Network (MsFPN) is proposed for effective feature extraction to improve model accuracy. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…However, there are two main limitations in existing research: one is that it over-focuses on the fusion of multi-layer deformation sub-fields on the decoding path, while ignoring the impact of feature encoders on network performance; the other is the lack of specialized design for the characteristics of feature maps at different scales. …”
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Channel state information acquisition algorithm based on deep learning for IoT by Yong LIAO, Haimei YAO, Yuanxiao HUA

“…To solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed network used convolutional neural network (CNN) to extract channel feature vectors and maxpooling to compress the data.Then the compressed CSI was decompressed by using full connection and CNN to restore the original channel.The simulation results show that compared with the existing CSI feedback methods,the CSI recovered by the proposed CSI feedback network is closer to the original channel,and the reconstruction quality is improved significantly.…”
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Readers’ preferences of Irkutsk residents in late of XIX–early XX centuries by M. V. Zhuravleva

“…The article deals with the problem of the reader and reading among the urban population, which is little studied in Russian history. …”
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Indicators for the Compression and Stretching Characteristics of the HTF-Coordinate of WRF by Hailiang Zhang, Huoqing Li, Shuiyong Fan

“…The HTF-coordinate is a feature that has been imported into the Weather Research and Forecasting (WRF) model version 4, and it is important to understand how it can be used efficiently. …”
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A formalized evolution of the efficiency of regional higher education systems through the prism of the relationship of inputs and outputs of flow values by M. R. Safiullin, A. A. Abdukaeva, D. V. Yurkov

“…This study proposes approaches aimed at methodological support for solving the problem of formalized evaluation of the effectiveness of regional higher education systems. …”
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