Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

“…In view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. …”
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Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic by Tian Zhang, Rui Zhao, Zhongsheng Chen

“…To solve the above problems, an improved algorithm is proposed. Firstly, image preprocessing is carried out by image binarization, feature points are extracted by Hes-sian matrix, and then feature description is carried out by using circular neighborhood of feature points. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…The current image registration models have problems such as low feature point matching accuracy, high memory consumption, and significant computational complexity in heterogeneous image registration, especially in complex environments. …”
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Tooth position prediction method based on adaptive geometry optimization. by Tian Ma, Yijie Zeng, Wenda Pei, Chao Li, Yuancheng Li

“…A multi-layer feature optimization Transformer-based tooth position prediction method is proposed to address the problems of difficult access to high-precision medical data and the difficulty of capturing and representing hierarchical features and spatial relationships among teeth by current methods. …”
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MD-POR: Multisource and Direct Repair for Network Coding-Based Proof of Retrievability by Kazumasa Omote, Tran Phuong Thao

“…When data owners publish their data to a cloud storage, data integrity and availability become typical problems because the cloud servers are never trusted. …”
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Questions of improvement of financing of activity of businessmen and enterprise structures by L. A. Akhmetov, D. A. Zuravlev, E. I. Akhmetova

“…For achievement of this purpose some problems of optimization of a bankingsystem ofthe country as a result of decrease in number of commercial banks in the country, their rational placement on regions of the country, feature of revocations of licenses of banks violators, problems of sanitation of banks, decrease in the rate of inflation and a key interest rate of the Central Bank of the Russian Federation are considered.…”
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Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information by Baoqing Zhang, Zhichun Mu, Hui Zeng, Shuang Luo

“…Extensive experimental results show that the proposed Gabor orientation feature based nonnegative sparse representation classification paradigm achieves much better recognition performance and is found to be more robust to challenging problems such as pose changes, illumination variations, and ear partial occlusion in real-world applications.…”
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An Analysis Method of Principal Components of Power Quality Based on Fast S-transform by MAN Weishi, ZHANG Zhiyu, XI Lei

“…To handle the problems in power quality analysis such as a large amount of calculation for S-transform, requiring setting feature parameters to the support vector machine classification, etc, it proposed a new approach which combined the fast S-transform (FST) algorithm with the principal component analysis (PCA) to classify the power quality disturbances. …”
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Improving Gene Expression Programming Method by Najla Al-Saati, Nidhal Al-Assady

“…Improvements suggested the following enhancement features: the Multi-Population feature, the Emergency Mutation feature, and the feature of ComponentBiasing. …”
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Adaptive Circular Receptive Field for Remote Sensing Image Target Detection by Ning Wen, Yun Ge, Xiaoyu Yang, Meigen Yu, Ting Wang

“…Secondly, in order to better extract the features of circular targets and cope with scale changes, a multi-scale feature fusion method based on adaptive circular convolution is proposed. …”
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A novel dual-student reverse knowledge distillation method for magnetic tile defect detection by Jiyan Tang, Ao Zhang, Weian Liu

“…In this framework, a pre-trained teacher network that uses a deep learning model to learn multi-scale and multi-level feature representations serves as the feature extractor. …”
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Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

“…Traditional tool wear identification methods are usually based on the framework of “feature extraction + machine learning”, but these methods often have problems of low efficiency and low recognition accuracy. …”
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Pedestrian Detection in Fisheye Images Based on Improved YOLOv8 Algorithm by ZHU Yumin, SUN Guangling, MIAO Fei

“…The feature information of different scales is extracted through DWConv with different convolution kernels, and the CA and SA modules are combined to enhance the model’s feature expression ability. …”
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Parking space number detection with multi‐branch convolution attention by Yifan Guo, Jianxun Zhang, Yuting Lin, Jie Zhang, Bowen Li

“…Secondly, a high‐level feature enhancement unit is designed to adjust the features channel by channel, obtain more spatial correlation, and reduce the loss of information in the process of feature map generation. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…Most of the current methods only learn embedding representations for feature branches, do not take into account the semantic relevance between features and labels, and lack effective constraints on the feature embedding space, which leads to insufficient relevance of the learnt feature embeddings. …”
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Few-shot bearing fault diagnosis method based on an EEMD parallel neural network and a relation network by Cunsheng Zhao, Bo Tong, Chao Zhou, Qingrong Fan

“…A more precise fault feature vector was generated via the feature embedding module of the RN, and the fault features of the support and query sets were stitched to create a fault feature vector set. …”
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A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM by Repudi Pitchiah, T. Sasi Rooba, Uma Pavan Kumar

“…For a range of prediction problems that are troubling medical practitioners, Deep Learning (DL) has gained popularity recently. …”
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Research on bearing fault diagnosis based on ISA-VMD and IMSE by Feng Yan

“…Abstract Aiming at the problems of difficulty in extracting vibration signal features and low recognition accuracy of bearing fault, a new fault diagnosis method based on ISSA-VMD and IMSE was proposed. …”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…Aiming to solve the problems that the reconstruction capability of single-domain features was limited and deep convolutional neural networks used in existing single-image super-resolution reconstruction tasks were difficult to deploy on mobile terminals due to the large number of parameters and high computational requirements, a lightweight image super-resolution network based on multi-domain information enhancement was proposed. …”
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ECT Image Reconstruction Algorithm Based on Multiscale Dual-Channel Convolutional Neural Network by Lili Wang, Xiao Liu, Deyun Chen, Hailu Yang, Chengdong Wang

“…Firstly, the image reconstructed by Landweber algorithm is input into the convolutional neural network, and four scales are selected for feature extraction. Feature unions are used across the scales to fuse the information of the output layer with feature maps. …”
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