Comparative evaluation of scales to determine severity of acute pancreatitis by D. Yu. Semyonov, A. N. Scherbyuk, S. V. Morozov, A. I. Lobakov, A. S. Unin, A. A. Averin, A. N. Levitskaya, K. N. Levitskaya, S. V. Shalamova

“…Therefore, the IDAP scale is best suited to address our problem.…”
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An Explainable Deep Semantic Coding for Binary-Classification- Oriented Communication by Shuhui Wang, Zuxing Li, Xin Huang, Qi Jiang

“…Prior efforts toward semantic coding often rely on learning-based feature extraction methods but tend to overlook data compression and lack a rigorous theoretical foundation. …”
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There Search of LS-SVM Based on LMD Morphology Filter by MENG Liang, XU Tong-le, MA Jin-ying, CAI Dao-yong

“…Lagrange parameters were weighted by feature weighting method, and their weighted average value was taken as the threshold of pruning method to reduce the sparsity. …”
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Colony-YOLO: A Lightweight Micro-Colony Detection Network Based on Improved YOLOv8n by Meihua Wang, Junhui Luo, Kai Lin, Yuankai Chen, Xinpeng Huang, Jiping Liu, Anbang Wang, Deqin Xiao

“…Next, C2f-MLCA is designed by embedding MLCA (Mixed Local Channel Attention) into the C2f module of YOLOv8 to integrate local and global feature information, thereby enhancing feature representation capabilities. …”
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An Innovative Small-Target Detection Approach Against Information Attenuation: Fusing Enhanced Programmable Gradient Information and a Novel Mamba Module by Yang Liu, Yatu Ji, Qingdaoerji Ren, Bao Shi, Na Liu, Min Lu, Nier Wu

“…Serious information loss often occurs when the input data undergoes the layer-by-layer feature extraction process through deep neural networks. …”
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Pest detection in dynamic environments: an adaptive continual test-time domain adaptation strategy by Rui Fu, Shiyu Wang, Mingqiu Dong, Hao Sun, Mohammed Abdulhakim Al-Absi, Kaijie Zhang, Qian Chen, Liqun Xiao, Xuewei Wang, Ye Li

“…The MT-DAM integrates an object detection model with an image segmentation model, exchanging information through feature fusion at the feature extraction layer. During testing, test-time adaptation updates both models, continuing feature fusion during forward propagation. …”
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Formation of unmanned aircraft trajectory when flying around prohibited areas by A. A. Lobaty, A. Y. Bumai, A. M. Avsievich

“…A law for measuring the control acceleration of the UAV’s center of mass is obtained on the basis of specifying the minimized quality functional and the corresponding constraints, which is a feature of the considered method of solving the problem. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…First, MobileNetV4 is introduced to optimize initial feature extraction, significantly improving the network’s efficiency. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…A system structure integrating Convolutional neural network (CNN) and Transformer is suggested to accomplish the goal of automatic formation density prediction and solve the problem of insufficient model feature extraction ability under multiple logging data conditions. …”
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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

“…A face straightness analysis matrix was constructed, consisting of the normal advancing stroke control distance matrix and the accumulated advancing stroke control distance matrix. Through feature engineering, feature extraction was carried out on the straightness analysis matrix of the working face, and the feature matrix was generated as a sample, with the working condition type corresponding to the manual control distance to serve as sample labels. …”
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Research on Fault Diagnosis Method of High-Speed EMU Air Compressor Based on ICEEMDAN and Wavelet Threshold Combined Noise Reduction by Liqiang Peng, Akang Guo, Shuzhao Zhang

“…Finally, vibration and pressure signals from the air compressor are subjected to feature extraction, constructing high-dimensional feature vectors. …”
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INFECTIVE ENDOCARDITIS IN A RHEUMATOLOGIST’S PRACTICE: ISSUES OF ITS CLINICAL PRESENTATION AND DIAGNOSIS by B. S. Belov, G. M. Tarasova

“…At present, the problem of infective endocarditis (IE) remains relevant for clinicians of different specialties, including rheumatologists. …”
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Large deviations for exchangeable observations with applications by Jinwen Chen

“…We then use the large deviation approach to study the problem of estimating the component and the mixing measures.…”
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On the elastic instability of a simple truss structure subjected to a tensile dead load by Alfredo Canelas, Ana I. Abreu

“…This paper presents an interesting example of the latter type, whose main feature is its counterintuitive post-critical behavior. …”
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Deep encoder-decoder networks for belt longitudinal tear detection by Lei You, Minghua Luo, Xinglin Zhu, Bin Zhou

“…An improved encoder-decoder network was proposed to solve the longitudinal tear detection problem. This method utilizes a line structured light system for image acquisition. …”
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An Adaptive Evolutionary Causal Dynamic Factor Model by Qian Wei, Heng-Guo Zhang

“…The real-time monitoring of macroeconomics has become an important research problem faced by banks, governments, and corporations. …”
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Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics by Lei Lei, She Kun

“…This model firstly uses the WCC to transform the speech into spectral feature vecors and then uses those spectral feature vectors to train the i-vectors that represent the speeches having different durations. …”
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Reception of the political news narratives in readers’ responses: multimodality and intertextuality by Svitlana Zhabotynska

“…The proposed article approaches this problem from the perspective of cognitive linguistics that studies conceptual grounds for verbally delivered information. …”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…The proposed RSSPCA achieves three key objectives simultaneously: robustness through L1-norm optimization, sparsity for feature selection, and smoothness for preserving spatial relationships. …”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…By iterating the hard threshold operator and transforming the original problem into an approximate non-convex sparse optimization problem, the manifold proximal gradient (ManPG) method is used as a distributed iterative solution. …”
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