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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MHFS-FORMER: Multiple-Scale Hybrid Features Transformer for Lane Detection by Dongqi Yan, Tao Zhang

“…It fuses multi-scale features with the Transformer Encoder to obtain enhanced multi-scale features. …”
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High‐order multilayer attention fusion network for 3D object detection by Baowen Zhang, Yongyong Zhao, Chengzhi Su, Guohua Cao

“…To enhance the expressive power between different modality features, we introduce a high‐order feature fusion module that performs multi‐level convolution operations on the element‐wise summed features. …”
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The impact of semantic clustering on the learning of abstract words by Tomoko Ishii

“… Abstract It has been repeatedly argued among vocabulary researchers that semantically related words should not be taught simultaneously because they might interfere with each other. However, the types of relatedness that cause interference have rarely been examined carefully. …”
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Covalent attachment of aminoferrocene to pseudo-graphite for selective sensing of H2O2 by Forrest Dalbec, Jeremy May, Dipak Koirala, Jhonnathan A. Plascencia, Micheal Okeke, Joshua Russell, Hui Xiong, I. Francis Cheng

“…This route obviates interferences from ascorbate, urea, urate, dopamine and glucose. …”
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MMI Couplers and the Talbot Effect, Symmetries and Golden Ratio by Gazi Mahamud Hasan, Mehedi Hasan, Karin Hinzer, Trevor Hall

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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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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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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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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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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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Spatial correlation guided cross scale feature fusion for age and gender estimation by Shiyi Jiang, Qing Ji, Hukui Shi, Che Chen, Yang Xu

“…The method integrates multi-granularity semantic features through a Cross-Scale Combination (CSC) module, enhances local detail representation using a Local Feature Guided Fusion (LFGF) module, and designs a Spatial Correlation Composition Analysis (SCCA) module based on Getis-Ord Gi* statistics for feature reorganization, effectively resolving interference from non-informative regions. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…Then, a morphological operation with closing followed by opening is applied to filter out weeds and crop edges, reducing interference. Next, Harris corner detection technology is used to extract crop feature points, and these feature points are clustered using the DBSCAN algorithm, marking each crop row with a different color. …”
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MultS-ORB: Multistage Oriented FAST and Rotated BRIEF by Shaojie Zhang, Yinghui Wang, Jiaxing Ma, Jinlong Yang, Liangyi Huang, Xiaojuan Ning

“…Feature matching is crucial in image recognition. …”
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