Application of Bispectral Technology and Deep Learning for Feature Extraction and Classification by Chuanshui Liu, Jing Yang, Xuan Zhan, Jianwen Chen

“…However, for raw signals, the unclear dominance of features, the weakness and sparsity of characteristic frequencies, and noise interference increase the difficulty of feature extraction from 1D data. …”
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Feature-Separated Lightweight Model for Road Extraction in Wild Environments by Che Shi, Yuefeng Cen, Gang Cen

“…To address these issues, we propose a lightweight road extraction model based on an encoder-decoder architecture, employing CSPDarknet53 as the backbone to reduce redundant computations. A Feature Separation and Enhancement Module (FSEM) independently processes spatial and channel features, while a Feature Aggregation Module (FAM) integrates multi-scale features for improved road continuity and accuracy. …”
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An Accurate LiDAR-Inertial SLAM Based on Multi-Category Feature Extraction and Matching by Nuo Li, Yiqing Yao, Xiaosu Xu, Shuai Zhou, Taihong Yang

“…Despite its importance, existing optimization-based LiDAR-inertial SLAM methods often face key limitations: unreliable feature extraction, sensitivity to noise and sparsity, and the inclusion of redundant or low-quality feature correspondences. …”
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HiEE: Hierarchical feature fusion for Chinese event extraction by Shuxiang Hou, Yurong Qian, Jiaying Chen, Jigui Zhao, Huiyong Lv, Hongyong Leng

“…Subsequently, we propose HiEE, a novel Chinese event extraction model that combines hierarchical feature fusion and external semantic enhancement. …”
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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…Finally, a correlation analysis module utilizes adversarial learning to suppress age-biased feature interference, ensuring focus on age-invariant identifiers. …”
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Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification by Chunyan Lyu, Hai Huang, Lixi Zhang, Wenting Zhu, Zhengyang Wang, Kejun Wang, Caidong Jiao

“…Primarily, the global feature branch is tailored to extract comprehensive features. …”
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The Main Germanic Dialects of Flanders by L. A. Ulianitckaia, A. A. Shumkov

“…Each dialectal group has its unique features, and the West-Flemish and Limburgish groups might have become grounds for particular languages.Methodology and sources. …”
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Dynamic Features of Spectra of Single and Quasi-Periodic Measuring Signals by U. V. Suchodolov, A. V. Isaev, A. A. Sheinikau

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Advances in Understanding Lipopolysaccharide-Mediated Hepatitis: Mechanisms and Pathological Features by Kazuhiko Nakadate, Hayate Saitoh, Miina Sakaguchi, Fumito Miruno, Naoto Muramatsu, Nozomi Ito, Kanako Tadokoro, Kiyoharu Kawakami

“…These mediators amplify hepatocyte apoptosis, endothelial damage, and platelet aggregation, thereby contributing to sinusoidal thrombosis and tissue ischemia. Pathological features, such as hepatocyte shrinkage, sinusoidal expansion, and fibrin deposition, are hallmark indicators of LPS-induced hepatic inflammation. …”
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“When Boys Looked Like Girls and Girls Looked Like Boys”: Interferences in the Music and Fashion World of the British 1980s – The Case of the New Romantics and their Contemporary E... by Julie MORÈRE

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Features of the influence of practicing various sports on the organs of the gastrointestinal tract by V. A. Akhmedov, D. A. Gavrilenko

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Some Features of Homonymy of Word Combinations in Russian and English Languages by M. Yu. Masalova, S. V. Shelkovnikova, R. P. Avedova

“…The relevance of the study is determined by the need for a deeper study of the semantic and structural aspects of syntactic units in their relationship, taking into account different typological features. It is noted that the ambiguity of a word combination can violate the integrity of the perception of the text, interfere with adequate translation. …”
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Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. by Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun

“…By extracting and processing signal features through deep neural networks, and dynamically adjusting communication strategies with near-end optimization, the model effectively addresses the recognition and prediction of signal transmission feature parameters in target communication systems, generates interference signals with the same feature parameters, and achieves effective interference suppression. …”
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Exploratory multimodal nonlinear microscopy: Coherent anti-stokes Raman scattering, second harmonic generation, and differential interference contrast for oral squamous cell carcin... by Hangzhe Song, Xiaoxiao Li, Tao Yang, Lifu Shao, Zhigang Sun, Penglong Cao, Rui Li, Juntao Ma

“…Slice 1 was stained with H&E-stained, while Slice 2 was unstained and imaged using Coherent anti-Stokes Raman Scattering (CARS), Second-Harmonic Generation (SHG), Differential Interference Contrast (DIC), and Raman spectroscopy. …”
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Individualized transcranial temporal interference stimulation (tTIS) for cognitive impairments and negative symptoms in patients with schizophrenia: a study protocol for a randomiz... by Shuzhe Wang, Junhao Chen, Linxuan Wang, Jingxuan Liu, Lijun Wang, Wenjie Sun, Shen Li, Jie Li

“…Abstract Background Cognitive deficits and negative symptoms are core features of schizophrenia (SCZ) and remain major therapeutic challenges due to their limited responsiveness to antipsychotic medications. …”
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Denoising and Feature Enhancement Network for Target Detection Based on SAR Images by Cheng Yang, Chengyu Li, Yongfeng Zhu

“…To address these issues, this paper proposes an algorithm based on YOLOv8 for detecting ship targets in complex backgrounds using SAR images, named DFENet (Denoising and Feature Enhancement Network). First, we design a background suppression and target enhancement module (BSTEM), which aims to suppress noise interference in complex backgrounds. …”
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Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification by Gita Indah Hapsari, Rendy Munadi, Bayu Erfianto, Indrarini Dyah Irawati

“…A systematic feature selection approach based on Pearson correlation is employed to identify the most relevant features from an open-source dataset, ensuring efficient classification while minimizing computational complexity. …”
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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

“…Although the Faster Region-based Convolutional Neural Network (Faster R-CNN) model has obvious advantages in defect recognition, it still cannot overcome challenging problems, such as time-consuming, small targets, irregular shapes, and strong noise interference in bridge defect detection. To deal with these issues, this paper proposes a novel Multi-scale Feature Fusion (MFF) model for bridge appearance disease detection. …”
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Effects of Clouds and Shadows on the Use of Independent Component Analysis for Feature Extraction by Marcos A. Bosques-Perez, Naphtali Rishe, Thony Yan, Liangdong Deng, Malek Adjouadi

“…One of the persistent challenges in multispectral image analysis is the interference caused by dense cloud cover and its resulting shadows, which can significantly obscure surface features. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…To enhance the feature representation and reduce background noise interference, the Convolutional Block Attention Module (CBAM) is embedded after the feature maps. …”
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