MLFF-SFNet: A Visual Perception-Guided Network for High-Accuracy Road Extraction in Remote Sensing Imagery via Multilevel Feature Fusion and Similarity Filtering by Kaiming Quan, Dongmei Yan, Ruyi Feng

“…The auxiliary branch extracts local road features to construct a feature affinity matrix that guides global feature refinement in the main branch. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…This paper proposes an optimization method based on image enhancement and feature detection to address the challenges of low-quality X-ray images,significant noise interference, and difficulty in defect identification during the detection of ablation defects in high-voltage cable buffer layers. …”
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Genetic Insights Into Hyaline Fibromatosis Syndrome: A Case Report of an ANTXR2 Mutation Featuring a Rare Variant c.697+1G>A by Shabnam Hajiani Ghotbabadi, Reza Shiari, Shayan Yousufzai, Simin Sharifi

“…Genetic analysis revealed a homozygous mutation in the ANTXR2 gene, specifically the c.697+1G>A variant, which interferes with normal splicing and results in the absence of functional protein. …”
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

“…In the presence of concentrated harmonic interference in the radio channel, its simultaneous spatial (by the antenna) and spectral (by the demodulator) filtering is also observed, the effectiveness of which depends on the direction of arrival and the frequency detuning of the interference, which also leads to a significant decrease in the error probability.…”
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Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD by XIE Guizhong, XU Shuaiqiang, DU Wenliao, LUO Shuangqiang, LI Hao, WANG Liangwen, GONG Xiaoyun

“…ObjectiveTo address the challenge of accurately capturing weak features in vibration signals under strong noise interference, a joint filtering method combining ensemble empirical mode decomposition (EEMD), fast kurtogram (FK), and adaptive maximum correlation kurtosis deconvolution (AMCKD) was proposed.MethodsFirstly, the vibration signal was decomposed into multiple intrinsic mode functions (IMF) via EEMD for multiscale analysis. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…This enables the network to effectively fuse shallow positional features and high-level semantic information to enhance the information extraction capability and better distinguish between target and interference, improving the anti-interference capability of the model. …”
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HCANet: a micro expression recognition model based on hierarchical Transformer architecture by YANG Aonan, MO Hong, ZHAO Shili, OUYANG Yuqi

“…HCANet models optical flow differences between onset and apex frames to capture local details and reduce identity interference, thereby avoiding the oversight of local details when directly extracting features from full video frames It consists of a Transformer layer for local temporal feature extraction and an aggregation layer for global facial feature learning. …”
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Research on Two-Dimensional Digital Map Modeling Method Based on UAV Aerial Images by Han Wang, Kai Zong, Dongfeng Gao, Xuerui Xu, Yanwei Wang

“…The proposed Canny edge-enhanced Speeded-Up Robust Features (C-SURF) algorithm in this method is designed to enhance the number of feature extractions and the accuracy of image registration. …”
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Multi-task neural network for solving the problem of recognizing the type of QAM and PSK modulation under parametric a priori uncertainty by A. A. Paramonov, V. M. Nguyen, M. T. Nguyen

“…A multi-task learning with artificial neural network using cumulant features and a data standardization algorithm is presented. …”
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Application of Distributed Acoustic Sensing in Anchor Damage Monitoring on Submarine Cables by ZHANG Hong, WU Mingnian, WANG Daogen, MU Zhangjian, XIE Shuhong, WU Zhengming, LI Songlin, CHEN Qingqing

“…【Results】Simulation experiments demonstrate significant differences in morphological feature curves between normal interference and simulated anchor damage events. …”
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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…YOLO-ssboat integrates the C2f_DCNv3 module to extract fine-grained features of small vessels while mitigating background interference and preserving critical target details. …”
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SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation by Haijiao Yun, Qingyu Du, Ziqing Han, Mingjing Li, Le Yang, Xinyang Liu, Chao Wang, Weitian Ma

“…Segmentation of skin lesions in dermoscopic images is critical for the accurate diagnosis of skin cancers, particularly malignant melanoma, yet it is hindered by irregular lesion shapes, blurred boundaries, low contrast, and artifacts, such as hair interference. Conventional deep learning methods, typically based on UNet or Transformer architectures, often face limitations in regard to fully exploiting lesion features and incur high computational costs, compromising precise lesion delineation. …”
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network by Yiming Chen, Wei Wang, Junchao Chen, Jizhou Deng, Yuanping Xiang, Bo Qiao, Xinghui Zhu, Changyun Li

“…These features are then integrated at the feature level through gradient blending, realizing the combination of the strengths of both modalities. …”
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The Influences of Meteorological Factors on Mapping Forest Stock Volume With Sentinel-1 Images by Xunwei Li, Jiangping Long, Hui Lin, Tingchen Zhang, Huanna Zheng

“…To quantitatively assess the interference caused by meteorological factors on features and FSV mapping accuracy, we propose a novel metric called the meteorological disturbance index (MDI). …”
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The Intelligent Diagnosis of a Hydraulic Plunger Pump Based on the MIGLCC-DLSTM Method Using Sound Signals by Liqiang Ma, Anqi Jiang, Wanlu Jiang

“…Then, four distinct acoustic features—Mel Frequency Cepstral Coefficients (MFCCs), Inverse Mel Frequency Cepstral Coefficients (IMFCCs), Gammatone Frequency Cepstral Coefficients (GFCCs), and Linear Prediction Cepstral Coefficients (LPCCs)—were extracted and integrated into a novel hybrid cepstral feature called MIGLCCs. …”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

“…The primary challenge of attribute conditioning lies in finding a concise structural representation that isolates only the true interpretive features while effectively removing noise and stratigraphic interference. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…To address the issue of chaotic optical gradient feature and non-target interference factors affecting the feature extraction effect of chaotic optical surface microcracks in silicon nitride ceramic bearing rollers, an algorithm for extracting microcrack features from chaotic optical surfaces of silicon nitride ceramic bearing rollers based on multi-scale wavelet transform enhancement and optimized PSO-FCM coupling is proposed. …”
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Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics by Dayan Li

“…The results show that the multi-sensor information collection Kalman filtering fusion algorithm effectively realizes the recognition of landscape feature information and the filtering of irrelevant interference information combined with an artificial intelligence algorithm to build a landscape feature recognition model. …”
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Deep Learning-Based Acoustic Recognition of UAVs in Complex Environments by Zhongru Liu, Kuangang Fan, Yuhang Chen, Lizhi Xiong, Jingzhen Ye, Aigen Fan, Hengheng Zhang

“…The optimal performance of MFCC in low SNR environments is verified by comparing three feature extraction methods, Spectrogram, Fbank, and MFCC. …”
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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…However, challenges like uneven underwater lighting, sediment interference, and complex backgrounds often hinder traditional detection methods, leading to feature loss and false detections. …”
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