Estimation to Practicability of the Building Substation by Voltage 330 sQ with Three Power Transformers by M. A. Korotkevich, A. L. Starzhinsky

“…It is installed that hooking two lines and two transformers at scheme distributing device by voltage 330 sQ «transformers – a buses with joining line through two breakers» and three installed transformer on substations brings about reduction of the factor to unavailability in 18,2 times in contrast with scheme with two transformers. …”
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A Novel Design of Photovoltaic-Based Charging Station for Battery Vehicles with Dynamic Demand: A Case of Short Runs by Mohamed Salameh, Tamer Khatib, Khaled Alsahili

“…Scenarios include two different battery charging methodologies and one hybrid option between electric buses and diesel vehicles. An energy model of the adapted electric buses is developed first. …”
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Pengembangan Bahan Ajar Bab 1 Kelas XI Dalam Pembelajaran Teks Argumentasi Berdasarkan Indeks Kepadatan Leksikal di SMK by Fauzan Marwan Ramadhan, Marlia Marlia, Setiawan Setiawan

“…Buku teks utama "Cerdas Cergas Berbahasa dan Bersastra Indonesia" diterbitkan untuk pembelajaran Kurikulum Merdeka di sekolah. …”
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IoT-based approach to multimodal music emotion recognition by Hanbing Zhao, Ling Jin

“…The proposed CGF-Net model combines a 3D Convolutional Neural Network (3D-CNN), Gated Recurrent Unit (GRU), and Fully Connected Network (FCN). By effectively fusing multimodal data, the model enhances the accuracy and efficiency of music emotion recognition. …”
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Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning by Rui Liu

“…This method firstly performs empirical modulus singular value decomposition and wavelet packet energy ratio on the microseismic signal to construct the basic feature vector and then uses the unsupervised learning algorithm to perform the unsupervised learning method feature fusion of the basic feature vector to construct the fused feature vector. …”
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Cross-ViT based benign and malignant classification of pulmonary nodules. by Qinfang Zhu, Liangyan Fei

“…To solve this problem, a Cross fusion attention ViT (Cross-ViT) network that fuses local features extracted by CNN and global features extracted by Transformer is proposed. …”
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Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

“…The deviation degree of the subinformation source model is used as the basis for judgment, and it is fused into a multi-information source load model with adaptive deviation degree analysis to predict the loads on the blades, tower top, and tower bottom of the wind turbine. …”
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Quantitative Nondestructive Testing of Wire Rope Using Image Super-Resolution Method and AdaBoost Classifier by Jigang Li, Juwei Zhang

“…A super-resolution algorithm based on interpolation uses non-subsampled shearlet transform (NSST) combining principal component analysis (PCA) and Gaussian fuzzy logic (GFL) and fuses the data of double detection board to improve the resolution and quality of defect images. …”
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Numerical Simulation Study on Construction Effect of Top-Down Construction Method of Suspended Diaphragm Wall for Deep and Large Foundation Pit in Complex Stratum by Yunhui Zhu, Fuxue Sun, Mingqing Liu, Qifeng Liu, Xiaochun Li, Gang Ge

“…In order to study the deformation of a diaphragm wall and the settlement of surrounding soil under the complicated conditions of the deep and soft soil layer, which is underlying inclined rock and top-down construction method, the construction scheme of suspended diaphragm wall based on the engineering practice of Oujiang North Estuary deep and large foundation pit of Wenzhou S2 railway is proposed, and the research method of numerical simulation is adopted in this article. By using Midas GTS finite element software, a three-dimensional model of deep and large foundation pit excavation with top-down construction method is established, and the internal force, deformation, and surface settlement of surrounding soil of suspended diaphragm wall with different depths into rock (1 m, 2 m, and 4 m) are analyzed. …”
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Reinforcement learning for deep portfolio optimization by Ruyu Yan, Jiafei Jin, Kun Han

“…Therefore, in order to improve DPO performance, features of assets information were extracted and fused. In addition, a novel risk-cost reward function was proposed, which realized optimal portfolio decision-making considering transaction cost and risk factors through reinforcement learning. …”
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Automatic Emergence Detection in Complex Systems by Eugene Santos, Yan Zhao

“…This framework, based on a probabilistic graphical model called Bayesian Knowledge Bases (BKBs), learns individual subsystem dynamics from data, probabilistically and structurally fuses said dynamics into a single complex system dynamics, and detects emergent properties. …”
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Image Recognition Method of Agricultural Pests Based on Multisensor Image Fusion Technology by Xianfeng Zeng, Changjiang Huang, Liuchun Zhan

“…In terms of image recognition, the use of image denoising methods based on median filtering, image preprocessing methods based on the maximum between-class error method (Otsu), image segmentation methods based on super green features, and feature extraction methods based on multiparameter features and based on the one-to-one elimination strategy and the M-SVM multiclass recognition algorithm fused with the kernel function, it realizes the identification and detection of six soybean leaf borers. …”
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Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi-Information Fusion by Naiquang Su, Xiao Li, Qinghua Zhang, Zhiqiang Huo

“…To detect faults in rotating machinery, the dimensionless index ranges of composite faults are first used to form a feature set as the reference. Then, a two-sample distribution test is applied to compare the known fault samples with the tested fault samples, and the maximum statistical distance is used. …”
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Hybrid Single-Packet IP Traceback with Low Storage and High Accuracy by Ming Hour Yang

“…That is why RIHT bounds its storage with path numbers to guarantee low storage. RIHT uses IP header’s ID and offset fields to mark packets, so it inevitably suffers from fragment and drop issues for its packet reassembly. …”
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Experimental Investigation of AA6063 Welded Joints Using FSW by T. Rajkumar, K. Radhakrishnan, C. Rajaganapathy, S. P. Jani, Nowshadth Ummal Salmaan

“…The aluminium alloy AA6063 plates were fused utilising the friction stir welding procedure in this study. …”
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The Improvement of Automated Crack Segmentation on Concrete Pavement with Graph Network by Jiang Chen, Ye Yuan, Hong Lang, Shuo Ding, Jian John Lu

“…The graph feature map of the graph branch output is fused with the image feature map of the encoder and then enters the decoder to recover the image resolution to obtain the crack segmentation result. …”
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A quality assessment algorithm for no-reference images based on transfer learning by Yang Yang, Chang Liu, Hui Wu, Dingguo Yu

“…Subsequently, an adaptive fusion network integrates these features, and a fully connected regression network correlates the fused semantic information with global semantic information to perform the final quality assessment. …”
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Seismic Response Study of Tunnels Running underneath a Subway Station in Parallel by Fuxue Sun, Guo-bo Wang, Xiang-jun Peng, Zhou-zhou Jin, Xiao-chun Li, Jie-lin Zhao

“…Comparative analysis is used to obtain the influence law between the underground structures and on the soil. …”
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Continuous Wavelet Transform and CNN for Fault Detection in a Helical Gearbox by Iulian Lupea, Mihaiela Lupea

“…These models achieve an accuracy higher than 99%. By fusing the CWT-based representations of the signals on individual axes for use as input to a 2D-CNN, the best-performing model for the proposed defect detection task is generated, reaching an accuracy of 99.91%.…”
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Fault Diagnosis of Subway Traction Motor Bearing Based on Information Fusion under Variable Working Conditions by Yanwei Xu, Weiwei Cai, Tancheng Xie

“…Then, the original signal is processed and extracted by the wavelet packet decomposition, and the normalized feature information is fused by the convolution neural network. Finally, the two-dimensional convolution neural network model is established to diagnose the bearing fault of the metro traction motor under different conditions. …”
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