A Novel Single Source Bridgeless Nine-Level Switched-Capacitor-Based Quadruple Boost Inverter With Reduced Voltage Stress by Devanand Kumar, Ravi Raushan, Md. Waseem Ahmad, Soham Dutta

“…Moreover, the proposed inverter’s leakage current can be almost zero due to the presence of the common ground (CG) feature. The nearest level pulse width control technique has been implemented to operate the proposed inverter. …”
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Wpływ anglojęzycznych tłumaczeń literatury grozy w 1990–1995 na kształtujące się po 1989 roku polskie realizacje gatunku by Adam Mazurkiewicz

“…This is because it appeared on the Vistula with the following problematic and thematic trends: (1) emphasizing corporeality as a source of horror, resulting from the “adventures of the body” — both non-normative, disciplined, and subjected to variously motivated interference; (2) emphasizing the uncanny as an immanent feature of existence; (3) problematizing the issue of the species hegemony of man treated in traditional culture as the “crown of creation”; (4) rooted in locality and finding sources of horror in it. …”
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A novel edge crop method and enhanced YOLOv5 for efficient wind turbine blade damage detection by Boyu Feng, Bo Liu, Li Song, Yongyan Chen, Xiaofeng Jiao, Baiqiang Wang

“…This procedure effectively mitigates the interference from complex background features and augments the utilization of image pixels. …”
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Numerical study on the punching shear strength of edge steel-reinforced concrete slab-column connections by Ahmed Gouda

“…This study investigates the influence of key geometric parameters—slab thickness, column aspect ratio, square column stub size, and span-to-depth ratio—on punching shear strength, a topic underexplored in existing research. A unique feature of this research is the ability to examine the effects of slab thickness, column aspect ratio, and square column stub size independently, without any interference from changes in the span-to-depth ratio, by keeping it constant. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…However, achieving high-quality and robust signal reconstruction under low sampling rates and noise interference remains challenging. Traditional CS methods have limited performance, so many deep learning-based CS models have been proposed. …”
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A algorithm for low light image enhancement in coal mine underground based on illumination constraints by Yuchen BAI, Zuohua MIAO, Houyou XU, Mengting WANG

“…The ICM captures the overall light distribution of the image, creates a grayscale attention map to minimize illumination interference, and the IDM decomposes the image into illumination and reflection components. …”
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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

“…Finally, the YConvFormer lightweight architecture is proposed, which combines shallow feature processing with global–local modeling, significantly reducing computational load. …”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…This paper addresses the issue of noise interference and variable working conditions in the production and machining environment, which lead to weak tool life features and reduced prediction accuracy. …”
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A Network Traffic Characteristics Reconstruction Method for Mitigating the Impact of Packet Loss in Edge Computing Scenarios by Jiawei Ye, Yanting Chen, Aierpanjiang Simayi, Yu Liu, Zhihui Lu, Jie Wu

“…To address this issue, TCReC leverages masked autoencoder techniques to reconstruct missing traffic features, ensuring reliable input for downstream tasks in edge computing scenarios. …”
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A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud by PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan

“…This can help reflect the surface features of components more precisely and contribute to accurate anomaly detection. …”
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IRWT-YOLO: A Background Subtraction-Based Method for Anti-Drone Detection by Xueqi Cheng, Fan Wang, Xiaopeng Hu, Xinrong Wu, Min Nuo

“…The DCPPA module employs dual convolutions to expand the receptive field and enhance feature extraction for weak drone objects. The RCSCAA module incorporates a contextual attention mechanism to capture long-range dependencies and extract multi-scale texture features. …”
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Defect Detection of Gas Insulation Switch by Infrared Thermography Technology With an Improved Yolo Algorithm by Ma Tianci, Chen Xiangping, Li Bo, Bai Jie

“…However, conventional nondestructive detection methods like ultrasound and X-ray face the challenges in anti-interference capability, cost, and structural complexity. …”
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Cumulative confidence-driven task offloading for object detection in maritime Internet of Things by Yanglong Sun, Wenqian Luo, Weijian Xu, Qiang Mei, Haixia Peng, Linhai Wei

“…However, the dynamic marine network and environmental interference in feature extraction adversely affect detection accuracy and cause delay. …”
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Stylistically Lowered Lexical Units in Metaphors and Similes in Different Narrative Types (Based on the Material of Modern Russian Prose) by Zoya Yur’evna Petrova, Natalia Aleksandrovna Fateeva

“…In this case, there is an interference of the plane of the narrator and the plane of the character. …”
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A small object detection model in aerial images based on CPDD-YOLOv8 by Jingyang Wang, Jiayao Gao, Bo Zhang

“…It is difficult to detect small objects accurately because their features are not obvious and are susceptible to background interference. …”
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Improving Chinese Fir Plantations DBH Inversion Accuracy Using Ensemble Learning Models Base on UAV-LiDAR by Jiuen Xu, Yinyin Zhao, Xuejian Li, Lujin Lv, Jiacong Yu, Meixuan Song, Lei Huang, Fangjie Mao, Huaqiang Du

“…The results show that: 1) Using data above a 5-m height threshold effectively reduces interference from understory vegetation; 2) Key feature variables, such as canopy volume (V), tree height (Hmax), the interquartile range of cumulative height percentiles (AIHiq), and canopy area (S), significantly affect DBH inversion, with V contributing 25% to the feature importance; 3) Ensemble learning models, particularly CatBoost, outperform the other models, achieving an <italic>R</italic>² of 0.81% &#x2014;14.1% higher than MLR; 4) DBH inversion closely matches field observed data, and UAV-LiDAR performs better than Backpack-LiDAR in complex forest environments. …”
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DBA-RTMDet: A High-Precision and Real-Time Instance Segmentation Method for Identification of Damaged Buildings in Postearthquake UAV Imagery by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu, Yuanhao Wang

“…Finally, to mitigate the interference caused by intact buildings that exhibit features, such as partially damaged roofs, we incorporated a cross atrous attention module. …”
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Method of support posture perception in mining face based on visual-inertial information fusion by XING Keke, CHENG Jingyi, XU Zhongxin, WAN Zhijun, XUE Minti, YAN Wanzi, BAO Kuo, YI Junjie

“…First, four feature points of infrared targets were fixed to the base platform of the support, and binocular cameras were fixed to the support top beam and shield beam. …”
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Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

“…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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Aging monitoring and fault positioning for zinc oxide surge arresters based on the fifth harmonic of the leakage current by Yongling Lu, Zhitong Xue, Jiahao Guo, Chenyu Zhang, Jian Liu, Xiaolong Xiao, Jian Sun

“…In addition, it builds an aging experimental platform for zinc oxide surge arresters with voltage harmonic interference. An improved displacement current method and a fast Fourier transform algorithm are used to extract current harmonic features, and the percentage changes in features and harmonic sensitivity are introduced to analyze the fifth harmonic characteristics. …”
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