Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…To enhance the feature representation and reduce background noise interference, the Convolutional Block Attention Module (CBAM) is embedded after the feature maps. …”
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Stochastic allocation strategy for irregular arrays based on geometric feature control by Jingjing Yu, Qi Xi, Runlei Li, Hui Tian, Yaxi Xie

“…Important geometric features are extracted to be used as the input vector of the neural network structure to determine the optimal irregular arrangements of sensors. …”
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Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals by Chuan Li, Yawei Wang, Qibing Ma, Xiaorong Wan

“…The electromagnetic waves reflected by the dual-layer rebar interfere with and superimpose, severely obscuring their characteristic signals, making accurate identification challenging. …”
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Visual Place Recognition Based on Dynamic Difference and Dual-Path Feature Enhancement by Guogang Wang, Yizhen Lv, Lijie Zhao, Yunpeng Liu

“…Aiming at the problem of appearance drift and susceptibility to noise interference in visual place recognition (VPR), we propose DD–DPFE: a Dynamic Difference and Dual-Path Feature Enhancement method. …”
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Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification by Yang Zhao, Jiaqi Liang, Sisi Huang, Pingping Huang

“…Then, the PA module is introduced to explore the collaboration of the same level features and reduce the interference of shallow redundancy. …”
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Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram by Xupeng Die, Jianshe Kang, Kuo Chi

“…The rolling bearing fault signal of the gearbox is difficult to extract effectively due to noise interference. A fault feature extraction method of gearbox rolling bearing based on VMD and fast-kurtogram is proposed. …”
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Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects by Li Zhang, Xirui Li, Yange Sun, Yan Feng, Huaping Guo

“…However, accurately and quickly detecting strip steel defects remains challenging due to variations in flaws, complex backgrounds, and noise interference. This paper proposes a novel multiscale feature fusion (MFF) method for salient object detection of strip steel surface defects, fusing multiscale features through the following three steps: 1) generating rough multiscale features using upsampling/downsampling or convolution operations with sampling techniques, 2) applying self-attention operations to each feature to generate a refined representation, and 3) fusing the multiscale features from the previous two steps for salient object detection. …”
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Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks by Jihyung Kim, Yeji Cho, Junghyun Kim

“…PC-ECGNN leverages interference link distances as edge features and desired link channel gains as initial vertex features, iteratively updating vertex features based on neighbors and edge features. …”
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The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs by Hui Wang, Qin Li, Huilan Luo, Yanfei Tang

“…To address these challenges, this paper proposes a graph-attention-based recommendation method that enhances user features using knowledge graphs (KGAEUF). This method models user relationships through collaborative propagation, links entities via similar user entities, and filters highly relevant entities from both user–entity and user–relation perspectives to reduce noise interference. …”
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Underwater vessel sound recognition based on multi-layer feature and attention mechanism by Wei Wei, Jing Li, Yucheng Han, Lili Zhang, Ning Cui, Pei Yu, Hongxin Tan, Xudong Yang, Kang Yang

“…The mechanism of feature fusion is also introduced to extract multi-layer features to improve the feature representation capability. …”
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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…To address these issues, we use YOLOv8s as the basic framework and introduce a multi-level feature fusion algorithm. Additionally, we design an attention mechanism that links distant pixels to improve small object feature extraction. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…The proposed model first employs Variational Mode Decomposition (VMD) to decompose the stock price time series into multiple smooth intrinsic mode functions (IMFs), reducing data complexity and mitigating noise interference. Subsequently, the TMFG algorithm is utilized for feature selection, simplifying the input data and accelerating the iterative convergence process. …”
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Multispectral Target Detection Based on Deep Feature Fusion of Visible and Infrared Modalities by Yongsheng Zhao, Yuxing Gao, Xu Yang, Luyang Yang

“…However, conventional convolution-based fusion methods predominantly rely on local feature interactions, limiting their capacity to fully exploit cross-modal information and making them more susceptible to interference from complex backgrounds. …”
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A novel approach to feature extraction from gear condition monitoring signals by Lina Bouhafs, Salah Tamalouzt, Ahcene Bouzida

“… Extracting features from condition monitoring signals of rotating machines is challenging, primarily due to the many potential sources of noise and interference that can corrupt the signals. …”
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Chinese Character Features Facilitate Working Memory Updating: Evidence From the EEG by Hongli Li, Decai Ren, Yihang Ouyang

“…The present study aims to explore how Chinese character features influence WM and to uncover the underlying mechanisms involved. …”
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Translating a Non-Standard Variety of Russian Into Italian: The Case of the Odesan Language by Francesco Bressan

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AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…Specifically, the maximum soft pooling module improves the continuity and integrity of detected cracks. The adaptive crack feature quantization module enhances the contrast between cracks and background features and strengthens the model’s focus on critical regions through spatial feature fusion. …”
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THE INFLUENCE OF FEATURES OF VORTEX FLOW ON AERODYNAMIC CHARACTERISTICS OF THE SUPERSONIC MANEUVERABLE AIRCRAFT MODEL by K. A. Osipov

“…According to the results of the numerical simulations, all the main nonlinearities in the integral characteristics associated with the vortex breakdown phenomenon and the interference of vortex structures were explained. The physical features of the vortex flow around the maneuverable aircraft model with a sharp-edged nose and their influence on the longitudinal and lateral aerodynamic characteristics are revealed. …”
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PFVnet, a feature enhancement network for low recognition coal and rock images by Cai Han, Zhenwen Liu, Shenglei Zhao, Yubo Li, Yanwei Duan, Xinzhou Yang, Chuanbo Hao

“…We characterized the grayscale and texture feature patterns of coal-rock media under varying degrees of interference and established a comprehensive multi-element image training sample library. …”
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Language Contacts in Belgian Media by I. M. Gorelenko, L. A. Ulianitckaia

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