Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology by Xuan Cao, Feng Xiong, Yang Wang, Haikuan Ma, Yanmin Zhang, Yan Liu, Xiangfeng Kong, Jingru Wang, Qian Shi, Pingping Fan, Yunzhou Li, Ning Wu

“…However, independent spectral methods are susceptible to interference, and insufficient extraction of the data features can occur. …”
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Improved Water Level Retrieval in Complex Riverine Environments: Sentinel‐3 and Sentinel‐6 Altimetry Over China's Rivers by Chenqi Fang, Di Long, Qi Huang, Fanyu Zhao, Huaichuan Liu, Xingwu Duan, Aizhong Hou

“…Error analysis revealed that the altimetric accuracy is primarily influenced by the underlying surface characteristics of VSs, with built‐up areas exerting significant interference. Additional disturbances stem from surrounding waters, large slopes, river channels running parallel to the satellite's ground track, and unique features such as sandbars, braided and ice‐covered rivers, and hydroelectric stations. …”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…With the increasing deployment of 5G networks, the vulnerability to malicious interference, such as jamming attacks, has become a significant concern. …”
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Exploring the Potential of Wi-Fi in Industrial Environments: A Comparative Performance Analysis of IEEE 802.11 Standards by Luis M. Bartolín-Arnau, Federico Orozco-Santos, Víctor Sempere-Payá, Javier Silvestre-Blanes, Teresa Albero-Albero, David Llacer-Garcia

“…Results prove that Wi-Fi 6/6E delivers the best overall performance, particularly in low-interference 6 GHz scenarios. Wi-Fi 5 performs well in medium-range settings but is more sensitive to congestion, while Wi-Fi 4 consistently underperforms. …”
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Diagnostic Challenges: A Review of Non Classic Thyroid Function Test Patterns by Pooja Varadaraj, Renuka Panchagnula

“…Aside from some obvious presenting features of thyroid disease, such as goitre, which can easily be identified, patients with thyroid conditions may present with non specific symptoms. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…The experimental results show that through the mechanisms of spatio-temporal feature fusion and parameter adaptive optimization, this model effectively suppresses the accuracy degradation of pressure pulse prediction caused by downhole unsteady-state interference, provides a highly robust signal processing solution for the wireless transmission scenarios of intelligent water injection systems, verifies the technical feasibility of analyzing industrial time-series data under complex working conditions, and provides theoretical support for the real-time monitoring and precise control of downhole intelligent equipment.…”
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Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…The study proposed a background model constructed by an optimized Gaussian mixture model based on the background subtraction method to eliminate the background interference. Based on this model, an ABD method was established using action data based on spatio-temporal block detection and motion foreground effect map features. …”
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Wheel Tread Dynamic Detection Benchmark Positioning Method Based on Iterative Reweighted Least-squares Line Fitting by LI Miaocheng, WANG Junping, SHEN Yunbo, YOU Yong, DAI Bowang, LAN Qiangqiang

“…After extracting the point cloud data through structured light calibration, center-line extraction and other algorithms, reference feature points of the inner side are segmented combined with tread features, and an iterative re-weighted least squares line fitting (IRLS-LF) method is used to realize robust positioning of the inner side benchmark. …”
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An auditory-visual tradeoff in susceptibility to clutter by Min Zhang, Rachel N Denison, Denis G Pelli, Thuy Tien C Le, Antje Ihlefeld

“…Abstract Sensory cortical mechanisms combine auditory or visual features into perceived objects. This is difficult in noisy or cluttered environments. …”
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Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm by Hong Qian, Yuan Yuan, Yu Wang, Gaofeng Jiang, Ting Yang

“…According to the high control quality requirements of nuclear power plants and the features of the pressurizer pressure with large inertia, time-varying, nonlinear, multi-interference, difficulty in obtaining accurate mathematical model, and open-loop unstable dynamic characteristic, the advanced control strategy is needed for pressurizer pressure control performance optimization. …”
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Recent Advances in Metal–Organic Framework-Based Nanozymes for Intelligent Microbial Biosensing: A Comprehensive Review of Biomedical and Environmental Applications by Alemayehu Kidanemariam, Sungbo Cho

“…By engineering the structural features and forming composites, MOFs are precisely tailored to amplify nanozymatic activity, enabling the highly sensitive, rapid, and cost-effective detection of a broad spectrum of microbial pathogens critical to biomedical diagnostics and environmental monitoring. …”
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Generative adversarial nets in laser-induced fluorescence spectrum image recognition of mine water inrush by Jing Li, Yong Yang, Hongmei Ge, Yong Wang, Li Zhao

“…The fluorescence spectrum from the water sample is stimulated by 405-nm lasers and improved by recursive mean filtering method to alleviate interference and auto-correlation to enhance the feature difference. …”
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INVESTIGATING THE TYPES OF CODE SWITCHING IN LANGUAGE TEACHING INSTRUCTION IN EFL CLASS OF SMA I NEGERI SAMARINDA by Desy Rusmawaty

“…Not only as a language interference, code switching was able to be used as one of language teaching strategy. …”
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An Efficient ISAR Imaging Method for Space Maneuvering Target Based on Multisynchrosqueezing Transform by Ting Zhao, Chengxiang Zhang, Yu Zheng, Jishen Liang

“…By extracting instantaneous Doppler features through energy concentration optimization, the framework achieves enhanced ISAR image resolution. …”
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Differentiable architecture search-based automatic modulation recognition for multi-carrier signals by LI Jie, LI Jing, LYU Lu, GONG Fengkui

“…Finally, a joint attention mechanism was introduced into the feature learning process. This mechanism spatially transforming distorted signal features to mitigate the impact of multipath interference, while also calculating and sorting the information weights for each channel of the feature maps to improve the recognition performance of the relevant feature map channels. …”
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Design and Modeling of a Reconfigurable Multiple Input, Multiple Output Antenna for 24 GHz Radar Sensors by Mahmoud Shaban

“…The design features 2- and 4-port MIMO antenna each comprising a 1 × 8 microstrip patch array. …”
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Quantitative characteristics of gene regulation by small RNA. by Erel Levine, Zhongge Zhang, Thomas Kuhlman, Terence Hwa

“…In common to most is the possibility that interference with the translation of mRNA targets may also alter the abundance of functional sRNAs. …”
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Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…A large dataset encompassing complex environments, such as low-light conditions, partial strong light interference, and occlusion, was constructed. The Efficient Channel Attention (ECA) mechanism was integrated into the YOLOv11 model to enhance the model’s ability to focus on key features, thereby significantly improving detection accuracy. …”
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A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes by Yu Peng, Erchao Li

“…The framework employs a denoising variational autoencoder to extract global and local features from auxiliary data, enhancing population distribution and constructing a deep nonlinear representation to counter noise effects. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Specifically, the framework incorporates Patchwise Contrastive Learning to fortify the correlation among positive samples within image patches, effectively reducing negative sample interference and enhancing the model's capability to discern subtle local features of haze-impacted images. …”
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