A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis by Minghao Pan, Yongmin Yang, Fengjiao Guan, Haifeng Hu, Zifang Bian, Wenkang Huang, Bohao Xiao, Ang Li

“…Moreover, this characteristic is less susceptible to signal noise interference compared to other dynamic characteristics, enhancing its potential for crack diagnosis in engineering applications.…”
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Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model by Li Liu, Wei-Wei Lai, Bo-Wen Li, Shu-Hang Wang, Mu-Ming Yu, Yan-Cun Liu, Yan-Fen Chai

“…Eight candidate ML models were selected for soft voting ensemble. Features were sequentially eliminated based on feature importance scoring to reduce input complexity without compromising model performance. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Data on the physiological and psychological parameters, driving performance, and wrist movement information of 33 drivers were collected. Firstly, features were extracted through time, frequency domain, and nonlinear analyses, and non-parametric tests were performed to analyze the differences in these features under different driving states, thus selecting an effective feature subset. …”
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Neutrophil-to-lymphocyte ratio predicts a poor prognosis for penile cancer with an immunosuppressive tumor microenvironment by Xingliang Tan, Xingliang Tan, Xingliang Tan, Yanjun Wang, Yanjun Wang, Yanjun Wang, Yiqi Yu, Runhao Zheng, Runhao Zheng, Runhao Zheng, Jing Li, Shaohua Chen, Qingling Xie, Shengjie Guo, Shengjie Guo, Shengjie Guo, Chichen Zhang, Chichen Zhang, Chichen Zhang, Xinpei Deng, Xinpei Deng, Xinpei Deng, Zhicheng Liu, Zhicheng Liu, Zhicheng Liu, Yi Tang, Yi Tang, Yi Tang, Hang Li, Weicheng Wu, Juexiao Chen, Qianghua Zhou, Qianghua Zhou, Qianghua Zhou, Wensu Wei, Wensu Wei, Wensu Wei, Kai Yao, Kai Yao, Kai Yao, Zhiming Wu, Zhiming Wu, Zhiming Wu

“…After PSM to eliminate interference from clinical factors, pN and the NLR were found to be independent prognostic indicators (both p<0.001). …”
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Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…Complex and nonlinear dynamic characteristics of bridge deflection often challenge traditional prediction models, as hysteresis in deflection response and interference from irregular waveforms in historical monitoring data reduce prediction accuracy. …”
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Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

“…Given the challenges of traditional simulation methods in performing quantitative analysis of core jamming faults and the susceptibility of the core’s motion trajectory to external interference, this paper innovatively installs a spring-damping device at the extended core position. …”
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GSINet: Gradual Semantic Interaction Network for Remote Sensing Object Detection Based on Dual Attention Mechanism by Yuntao Xu, Qi Qi, Wei He, Guoyun Zhang, Siyuan Chen, Bing Tu

“…Second, we propose a novel dual attention mechanism that integrates our proposed adaptive context feature fusion module (ACFFM) with bilevel routing attention (BRA) to optimize feature representation, ACFFM enhances context-aware feature fusion by capturing both local and global information, whereas BRA routes attention across different scales, together, they enhance tiny object detection in remote sensing images by reducing background interference and improving feature discrimination. …”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Traditional methods, such as spectral indices and classic machine learning, often struggle with external interference in diverse aquatic environments. Deep learning (DL) methods offer enhanced capabilities for CyanoHABs detection by learning complex patterns and adapting to varying conditions. …”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…However, the distributed optical fiber sensing signals collected on-site exhibit characteristics of non-stationarity, non-linearity, and susceptibility to noise interference. Additionally, there is an issue of incomplete feature information extracted by a single sensor. …”
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Design of a Compact Ultrawideband U-Shaped Slot Etched on a Circular Patch Antenna with Notch Band Characteristics for Ultrawideband Applications by Jiwan Ghimire, Dong-You Choi

“…Interference between ultrawideband (UWB) antennas and other narrowband communication systems has spurred growth in designing UWB antennas with notch characteristics and complicated designs consisting of irregular etched slots and larger physical size. …”
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Laboratory and Numerical Study of Hydraulic Loss and Discharge Coefficient in Rectangular Labyrinth and Piano Key Weirs by R. Ghasemi Ghasemvand, M. Heidarnejad, A.R. Masjedi, A. Bordbar

“…Furthermore, the intensity of flow blade interference over the weirs gradually increases the hydraulic loss with a rising hydraulic head. …”
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Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

“…In OFDM wireless communication systems, low-resolution channel characteristics and noise interference pose significant challenges to accurate channel estimation. …”
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Terahertz-ViSAR-based Imaging of Passive Jamming Objects by Lei FAN, Qi YANG, Hongqiang WANG, Jun YI

“…Next, considering rotating corner reflectors as an example of moving passive jamming objects, their characteristics regarding suppressive interference are analyzed. Considering that stationary scenes feature similarity under adjacent apertures, rotating corner reflectors can be directly detected by incoherent image subtraction after inter-frame image and amplitude registrations, followed by the extraction of signals of interest and non-parametrical compensation. …”
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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

“…Into the encoding stage, introduced is a detail enhancement convolution module that amplifies high-frequency edge information; through a multibranch feature extraction pathway fusing five distinct convolutional types, the model significantly enhances its sensitivity and representational capacity for irregular cropland boundaries. …”
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Meta surface Assisted Open radio access networks by 7haneenabdulrahman7 ajeel, Ismail Hburi

“…This approach can achieve flexibility in the environment of a high-traffic transmission while lowering the interference between radio units and the signalling burden required for beamforming tasks. …”
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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…In order to enhance the network’s anti-interference ability in complex backgrounds and its capacity to differentiate between similar diseases, we incorporate an Efficient Multi-Scale Attention (EMA) within the deep structure of the network for in-depth feature extraction. …”
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Construction and application of foundational models for intelligent processing of microseismic events in mines by Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG

“…A comprehensive dataset containing over 300 000 microseismic waveforms was established, incorporating three key innovations: multi-scale convolutional modules for multi-dimensional feature extraction, an adaptive feature fusion strategy for noise-resistant signal representation, and a feature-aggregated multi-head attention mechanism for temporal sequence modeling. …”
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Fault diagnosis of mining rolling bearings based on Superlet Transform and OD-ConvNeXt-ELA by WU Xinzhong, LUO Kang, TANG Shoufeng, HE Zexu, CHEN Qi

“…In response to the limitations of current fault diagnosis methods for mining rolling bearings, which suffer from limited feature extraction capabilities and poor generalization, a fault diagnosis method based on Superlet Transform (SLT) and OD-ConvNeXt-ELA was proposed. …”
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Red Raspberry Maturity Detection Based on Multi-Module Optimized YOLOv11n and Its Application in Field and Greenhouse Environments by Rongxiang Luo, Xue Ding, Jinliang Wang

“…This module enhances the network’s multi-scale feature extraction capabilities, reduces the interference of background noise, improves the recognition of structural details, and optimizes the spatial resolution of the image through the dynamic sampling mechanism. …”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…However, through meticulous fine-tuning, the model's feature expression capabilities were restored, compensating for the information loss caused by pruning. …”
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