GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

“…In this study, we propose a building detection method that integrates global and local features. First, frequency domain transformation and a Convolutional Block Attention Module (CBAM) were applied to preprocess the remote sensing images, enhancing building details while suppressing irrelevant noise interference. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…This paper introduces a novel framework GCN-EIF that decouples external interference factors (EIFs) from inherent wind power patterns to achieve excellent prediction accuracy. …”
Get full text

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. …”
Get full text

Extended homogeneous field correction method based on oblique projection in OPM-MEG by Fulong Wang, Fuzhi Cao, Yujie Ma, Ruochen Zhao, Ruonan Wang, Nan An, Min Xiang, Dawei Wang, Xiaolin Ning

“…Optically pumped magnetometer-based magnetoencephalography (OPM-MEG) is an novel non-invasive functional imaging technique that features more flexible sensor configurations and wearability; however, this also increases the requirement for environmental noise suppression. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

RNAi technologies for insect control in crop protection by Xue Zhong, Xiudao Yu, Jiahui Zhang, Jiajing Xu, Mengchao Qin, Mingxin Cao, Frédéric Francis, Lanqin Xia

Get full text

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. …”
Get full text

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. …”
Get full text

Investigations on higher-order spherical harmonic input features for deep learning-based multiple speaker detection and localization by Nils Poschadel, Stephan Preihs, Jürgen Peissig

“…Different spherical harmonic (SH) input features such as the higher-order pseudointensity vector (HO-PIV), relative harmonic coefficients (RHCs), and the spatially-localized pseudointensity vector (SL-PIV), a feature proposed for the first time as an input feature for deep learning-based SDL, are examined using first- to fourth-order SH signals. …”
Get full text

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). …”
Get full text

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. …”
Get full text

Experimental Investigation of a Planar Antenna with Band Rejection Features for Ultra-Wide Band (UWB) Wireless Networks by Muhammad Irshad Khan, Muhammad Irfan Khattak, Gunawan Witjaksono, Zaka Ullah Barki, Sadiq Ullah, Imran Khan, Byung Moo Lee

Get full text