YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…The spatial information of the channels is compressed by global average pooling, and the feature map is adaptively weighted after learning the channel weights through the fully connected layer, so as to strengthen the key channel features and suppress the noise. …”
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Multi-Level Feature Dynamic Fusion Neural Radiance Fields for Audio-Driven Talking Head Generation by Wenchao Song, Qiong Liu, Yanchao Liu, Pengzhou Zhang, Juan Cao

“…Then, we introduce the idea of multi-head attention and design an efficient audio-visual fusion module that explicitly fuses audio features with image features from different planes, thereby improving the mapping between audio features and spatial information. …”
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A Rotated Object Detection Model With Feature Redundancy Optimization for Coronary Athero-Sclerotic Plaque Detection by Xue Hao, Haza Nuzly Abdull Hamed, Qichen Su, Xin Dai, Linqiang Deng

“…These redundant features interfere with plaque feature extraction, resulting in decreased performance and increased computational complexity. …”
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Time-Frequency Feature Extraction Method for Weak Acoustic Signals from Drill Pipe of Seafloor Drill by Jingwei Xu, Buyan Wan, Weicai Quan, Yi Xi, Xianglin Tian

“…The acoustic signals of the drill pipe of a seafloor drill present weak features under noise interference such as marine environmental noise and the mechanical vibration of the seafloor drill. …”
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A seed-epidermis-feature-recognition-based lightweight peanut seed selection method for embedded systems by Dehao Li, Jinlong Huang, Xincheng Li, Zhaolei Yang, Xueke An, Pengfei Xu, Yuliang Yun

“…The transfer learning method was used to use four pre-trained models, EfficientNet_b0, EfficientNetv2-b0, MobileNet_v2_35_224, and NasNet_Mobile, as feature extraction layers, the input layer was added before the feature extraction layer, and the dropout and dense layers were added after the feature extraction layer to construct a classifier. …”
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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…In the feature fusion stage, a path aggregation network with a coordinate attention mechanism (CLC−PAN−CA) was proposed to achieve cross-level contat of features and adaptively capture the contextual information of cmopd. …”
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Beyond Granularity: Enhancing Continuous Sign Language Recognition with Granularity-Aware Feature Fusion and Attention Optimization by Yao Du, Taiying Peng, Xiaohui Hu

“…As for video modeling, we first analyze why the vanilla Transformer failed in cSLR and observe that the magnitude of the feature vectors of video frames could interfere with the distribution of attention weights. …”
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Intelligent robot chair with communication aid using TEP responses and higher order spectra band features by Sathees Kumar Nataraj, Paulraj Murugesa Pandiyan, Sazali Bin Yaacob, Abdul Hamid bin Adom

“…The frequency band signals are segmented into frame samples of equal length and are used to extract the features using bispectrum estimation. Further, statistical features such as the average value of bispectral magnitude and entropy using the bispectrum field are extracted and formed as a feature set. …”
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Segmentalized amplitude normalization in feature extraction technique for diagnostics enhancement of bearing deterioration under varying speeds by Tian-Yau Wu, Yo-Sen Lin

“…These two factors inevitably interfere with each other when diagnosing bearing defects at multiple levels and classes under varying rotation speeds. …”
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Speech Competencies in Russian-Speaking Monolinguals of the Tyva Republic in the Context of Tuvan-Russian Bilingualism by Evgeny Y. Litskevich

Rolling Bearing Fault Feature Extraction Based on Adaptive Tunable Q-Factor Wavelet Transform and Spectral Kurtosis by Jianlong Zhao, Yongchao Zhang, Qingguang Chen

“…The fault feature of the rolling bearing is difficult to extract when weak fault occurs and interference exists. …”
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Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts by J. Sormayli, M. Darvishi, K. Zarrinnegar, M. R. Mosavi

“…Genuine GNSS and jamming signals were collected under controlled conditions, and the data were pre-processed through feature normalization, correlation analysis, and feature selection based on importance in the mentioned systems. …”
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E‐cigarette or vaping product use‐associated lung injury (EVALI) features and recognition in the emergency department by Kim Aldy, Dazhe James Cao, Mary Madison Weaver, Devika Rao, Sing‐Yi Feng

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Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on Spectral Amplitude Modulation and Wavelet Threshold Denoising by Xiaojia Zu, Wenhao Sun, Yuncheng Guo, Yukai Zhao, Haihong Tang, Xue Jiang, Peng Chen

“…The experimental results indicate that the proposed method can reduce noise interference and effectively extract fault features in low-speed.…”
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A Highly Parallel DRAM Architecture to Mitigate Large Access Latency and Improve Energy Efficiency of Modern DRAM Systems by Tareq A. Alawneh, Ahmed A. M. Sharadqh, Ashraf Al Sharah, Emad Awada, Jawdat S. Alkasassbeh, Ayman Y. Al-Rawashdeh, Aws Al-Qaisi

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EMI-EMC Qualification of the NASA SWOT Mission Using High Fidelity Modeling by Nacer E. Chahat, Edward Gonzales, Emmanuel Decrossas, Amy Stevens, Matthew Keyawa, Pablo S. Narvaez

“…Surface Water and Ocean Topography (SWOT) is a complex satellite with multiple high-power transmitters and highly sensitive receivers. A pivotal feature is the Ka-band interferometer, operating at 2000 Watts, which significantly amplifies the satellite's qualification challenges. …”
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A Lightweight Multi-Frequency Feature Fusion Network with Efficient Attention for Breast Tumor Classification in Pathology Images by Hailong Chen, Qingqing Song, Guantong Chen

“…The LMFM utilizes wavelet transform (WT) for multi-frequency feature fusion, integrating high-frequency (HF) tumor details with high-level semantic features to enhance feature representation. …”
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A Fast Method of Feature Extraction for Lowering Vehicle Pass-By Noise Based on Nonnegative Tucker3 Decomposition by Haijun WANG, Guo CHENG, Guoyong DENG, Xueping LI, Honggeng LI, Yuanyi HUANG

“…Usually, the judgement of one type fault of vehicle pass-by noise is difficult for engineers, especially when some significant features are disturbed by other interference noise, such as the squealing noise is almost simultaneous with the whistle in the exhaust system. …”
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A Principal Component Analysis-Based Feature Optimization Network for Few-Shot Fine-Grained Image Classification by Meijia Wang, Boyuan Zheng, Guochao Wang, Junpo Yang, Jin Lu, Weichuan Zhang

“…To address these challenges, this paper proposes a novel main feature selection module (MFSM), which suppresses feature noise interference and enhances the discriminative capacity of feature representations through principal component analysis (PCA). …”
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Monopulse Feature Extraction and Fault Diagnosis Method of Rolling Bearing under Low-Speed and Heavy-Load Conditions by Chang Liu, Gang Cheng, Xihui Chen, Yong Li

“…The monopulse waveforms of multiple fault periods are scanned and ensemble averaged to suppress noise interference and detail feature loss at the same time of feature extraction. …”
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