Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do, Ta Huu Anh Duong, Tuan-Minh Huynh, Son-Anh Bui, Duc-Manh Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Thu-Uyen Nguyen

“…Existing multimodal methods often combine features from different modalities, leading to feature interference and degraded performance. …”
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Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Given the common presence of shadow interference in sonar images, we introduce the discriminative feature extraction module (DFEM) to suppress redundant features in the shadow regions and emphasize the object region features. …”
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Target Recognition Method Based on Graph Structure Perception of Invariant Features for SAR Images by Jingyi CAO, Yang ZHANG, Ya’nan YOU, Yamin WANG, Feng YANG, Weijia REN, Jun LIU

“…Specifically, to support essential feature extraction in each branch, we design a feature-guided graph feature perception module based on multilevel essential feature modeling. …”
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Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification by Yang Zhao, Jiaqi Liang, Sisi Huang, Pingping Huang

“…Then, the PA module is introduced to explore the collaboration of the same level features and reduce the interference of shallow redundancy. …”
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The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs by Hui Wang, Qin Li, Huilan Luo, Yanfei Tang

“…To address these challenges, this paper proposes a graph-attention-based recommendation method that enhances user features using knowledge graphs (KGAEUF). This method models user relationships through collaborative propagation, links entities via similar user entities, and filters highly relevant entities from both user–entity and user–relation perspectives to reduce noise interference. …”
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Chinese Character Features Facilitate Working Memory Updating: Evidence From the EEG by Hongli Li, Decai Ren, Yihang Ouyang

“…The present study aims to explore how Chinese character features influence WM and to uncover the underlying mechanisms involved. …”
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THE INFLUENCE OF FEATURES OF VORTEX FLOW ON AERODYNAMIC CHARACTERISTICS OF THE SUPERSONIC MANEUVERABLE AIRCRAFT MODEL by K. A. Osipov

“…According to the results of the numerical simulations, all the main nonlinearities in the integral characteristics associated with the vortex breakdown phenomenon and the interference of vortex structures were explained. The physical features of the vortex flow around the maneuverable aircraft model with a sharp-edged nose and their influence on the longitudinal and lateral aerodynamic characteristics are revealed. …”
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On Enhancing Technology Coexistence in the IoT Era: ZigBee and 802.11 Case by Eugene David Ngangue Ndih, Soumaya Cherkaoui

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Enhancing maize LAI estimation accuracy using unmanned aerial vehicle remote sensing and deep learning techniques by Zhen Chen, Weiguang Zhai, Qian Cheng

“…UAV remote sensing technology has been widely applied for LAI estimation. Although spectral features are widely used for LAI estimation, their performance is often constrained in complex agricultural scenarios due to interference from soil background reflectance, variations in lighting conditions, and vegetation heterogeneity. …”
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Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks by Jihyung Kim, Yeji Cho, Junghyun Kim

“…PC-ECGNN leverages interference link distances as edge features and desired link channel gains as initial vertex features, iteratively updating vertex features based on neighbors and edge features. …”
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Translating a Non-Standard Variety of Russian Into Italian: The Case of the Odesan Language by Francesco Bressan

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Language Contacts in Belgian Media by I. M. Gorelenko, L. A. Ulianitckaia

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SIMULATION OF AN ELECTROMYOGRAPHIC SIGNAL CONVERTER FOR ADAPTIVE ELECTRICAL STIMULATION TASKS by Olha Yeroshenko, Igor Prasol, Oleh Datsok

“…The goal of the work is to study the features, obtaining the corresponding theoretical relationships and computer modeling of a differential biopotential converter, providing amplification of the useful component and suppression of harmful interference, the spectra of which intersect. …”
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Unsupervised detection method of RoQ covert attacks based on multilayer features by Jing ZHAO, Jun LI, Chun LONG, Wei WAN, Jinxia WEI, Kai CHEN

“…To solve the problems that RoQ covert attacks are hidden in overwhelming background traffic and difficult to identify, besides the existing samples are scarce and cannot provide large-scale learning data, an unsupervised detection method of RoQ covert attacks based on multilayer features was proposed under the condition of very little prior knowledge.First, considering that most normal flow might interfere with subsequent results, a classification method based on semi-supervised spectral clustering was studied by flow characteristics, so that the proportion of normal samples in the filtered traffic was close to 100%.Secondly, in order to distinguish the nuance between the hidden attack features and normal flow without relying on the attack samples, an unsupervised detection model based on the n-Shapelet subsequence was constructed by packet characteristics, and the subsequences with obvious difference were used, which enabled detection of RoQ convert attacks.Experimental results demonstrate that with only a small number of learning samples, the proposed method has higher precision and recall rate than existing methods, and is robust to evading attacks.…”
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Features of surgical tactics in acute cholangitis depending from the mechanism of its development by V. A. Vovk

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RTDETR-MARD: A Multi-Scale Adaptive Real-Time Framework for Floating Waste Detection in Aquatic Environments by Baoshan Sun, Haolin Tang, Liqing Gao, Kaiyu Bi, Jiabao Wen

“…First, our hierarchical multi-scale feature integration leverages the gather-and-distribute mechanism to enhance feature aggregation and cross-layer interaction. …”
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Study on Fault Feature Extraction of Rolling Bearing Based on Improved WOA-FMD Algorithm by Guangfei Jia, Yanchao Meng

“…The vibration signal of rolling bearing fault is nonlinear and nonstationary under the interference of background noise, and it is difficult to extract fault features from it. …”
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Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing by Houhong XIANG, Yongliang WANG, Yuxi LI, Yufeng CHEN, Fengyu WANG, Xiaolu ZENG

“…This method, based on a signal-level feature game approach, incorporates two interconnected components working together. …”
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MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…In RS image CD tasks, researchers often face challenges such as multiscale change capture inadequacy due to feature noise interference and difficulties in spatiotemporal feature alignment. …”
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Research on feature extraction and intelligent diagnosis method of reciprocating compressor bearing clearance fault by Feng Yan

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