Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…Finally, cross-stage feature fusion is implemented, overcoming the limitations of traditional feature fusion methods. …”
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A novel lightweight multi-scale feature fusion segmentation algorithm for real-time cervical lesion screening by Jiahui Yang, Ying Zhang, Wenlong Fan, Jie Wang, Xinhe Zhang, Chunhui Liu, Shuang Liu, Linyan Xue

“…In the decoder stage, a multi-scale feature fusion (MFF) module is used to fuse multi-scale features. …”
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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…Firstly, to mitigate information loss during network deepening, a Multi-scale Feature Fusion module is proposed to merge the encoded and decoded feature maps at different dimensions, enhancing low-level detail and high-level semantic information. …”
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Weighted Feature Fusion Network Based on Multi-Level Supervision for Migratory Bird Counting in East Dongting Lake by Haojie Zou, Hai Zhou, Guo Liu, Yingchun Kuang, Qiang Long, Haoyu Zhou

“…It achieves this by aggregating multi-source features and enhancing the expression of key features. …”
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Generalized perception of tree-row with distribution-peak feature in 3D point cloud for various orchards navigation by Yingxing Jiang, Wuhao Li, Jizhan Liu, Muhammad Mahmood ur Rehman, Binbin Xie, Jie Wang

“…Autonomous navigation perception in orchards faces challenges such as the dense growth of branches and leaves obstructing key features, dynamic environmental changes, and significant structural differences across various orchard types. …”
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Dual Attention-Based Global-Local Feature Extraction Network for Unsupervised Change Detection in PolSAR Images by Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin

“…Due to the interference of multiplicative speckles, it is challenging to accurately detect changes in polarimetric synthetic aperture radar (PolSAR) images. …”
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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

“…First, the feature representation is improved by constructing an adaptive spectral block (ASB) using Fourier analysis, while an adaptive threshold is introduced to reduce noise interference. …”
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LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection by Qinggang Wu, Yang Li, Junru Yin, Xiaotian You

“…Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background interferences. To address these challenges, we propose an innovative single-stage local-global feature extraction and coordination network (LGC-YOLO) to improve the detection accuracy of objects in HRRSIs. …”
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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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Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Given the common presence of shadow interference in sonar images, we introduce the discriminative feature extraction module (DFEM) to suppress redundant features in the shadow regions and emphasize the object region features. …”
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Full-duplex device-to-device communications:key technologies and prospects by Jiaxin DING, Daquan FENG, Gongbin QIAN, Nan ZHANG

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YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8 by Junchao Yuan, Lina Wang, Tingting Wang, Ali Kashif Bashir, Maryam M. Al Dabel, Jiaxing Wang, Hailin Feng, Kai Fang, Wei Wang

“…Furthermore, by incorporating the dynamic upsampling operator, our model can dynamically adjust the sampling step size based on the variations in the input feature map during the upsampling process, thereby effectively recovering detail from the feature map. …”
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Cognitive Dominants, Language-Specific Communication and Translation Problems by N. K. Riabtseva

“…Special attention in the paper is paid to the translation into the foreign, English, language, its contrastive culture-specific and communicative features as compared to those in the Russian language: to their cognitive dominants in communication and their cross-linguistic asymmetry and in-congruency which generate quite «natural» cross-linguistic interference in Russian-English translation. …”
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A Feature Extraction Method of Wheelset-Bearing Fault Based on Wavelet Sparse Representation with Adaptive Local Iterative Filtering by Zhan Xing, Jianhui Lin, Yan Huang, Cai Yi

“…However, it is difficult for traditional sparse representation to extract fault features ideally when some strong interference components are imposed on the signal. …”
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A single cysteine residue in vimentin regulates long non-coding RNA XIST to suppress epithelial–mesenchymal transition and stemness in breast cancer by Saima Usman, William Andrew Yeudall, Muy-Teck Teh, Fatemah Ghloum, Hemanth Tummala, Ahmad Waseem

“…Targeting the mutant vimentin or XIST by RNA interference partially reversed the phenotypes in C328-VIM-expressing MCF-7 cells. …”
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Enhanced efficiency and security in cross-chain transmission of blockchain internet of ports through multi-feature-based joint learning by Zeqiang Xie, Xiaowei Zhang, Xinbing Liu

“…The proposed method integrates multi-feature joint learning with adaptive multi-channel joint bus control, enabling dynamic resource allocation and interference suppression for enhanced transmission efficiency. …”
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2HR-Net VSLAM: Robust visual SLAM based on dual high-reliability feature matching in dynamic environments. by Wang Yang, Huang Chao, Zhang Yi, Tan Shuyi

“…Visual Simultaneous Localization and Mapping (VSLAM) is the key technology for autonomous navigation of mobile robots. However, feature-based VSLAM systems still face two major challenges in dynamic complex environments: insufficient feature reliability and significant dynamic interference, urgently requiring improved matching robustness. …”
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Dual-Branch Neural Network-Based In-Loop Filter for VVC Intra Coding Using Spatial-Frequency Feature Fusion by Zhen Feng, Xu Liu, Cheolkon Jung

“…The spatial-frequency feature fusion combines features in spatial and frequency domains, which enhances feature representation capability and learns local and long-range feature correlations. …”
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LMAD-YOLO: A vehicle image detection algorithm for drone aerial photography based on multi-scale feature fusion. by Xue Xing, Fahui Luo, Le Wan, Kang Lu, Yuqi Peng, Xiujuan Tian

“…The LMAD-YOLO model is proposed, and the MultiEdgeEnhancer module is designed to enhance the edge information and enhance the feature capture through a series of operations. Large Separable Kernel Attention and SPPF are combined to form MSPF module, which can realize multi-scale perception aggregation and improve the ability of distinguishing small targets from interference. …”
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Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

“…This study investigates whether leveraging features in the parameter space can enhance parameter extraction. …”
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