Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

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A Yarn Quality Prediction Method Based on M-ESTIMATOR Robust Broad Learning System With Tightly Cascaded Feature Layers by Baowei Zhang, Zhilin Guo, Yonghua Wang

“…Aiming at the problem that multilayer neural networks rely on large datasets and broad learning system (BLS) cannot cope well with outliers in data of yarn production, which leads to low accuracy and stability when used for predicting yarn quality, we propose a robust broad learning system with the ability to resist the interference of outliers and optimize its ability to extract features. …”
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Clinicopathological feature and patterns of care of breast cancer patients in a peripheral tertiary care teaching institute: A retrospective analysis by Chayan Paul, Bibek Paul, Abhishek Basu

“…There are very limited data on clinicopathological features and patterns of care for breast cancer in resource-constrained area. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…TFF-Net also includes dynamic feature weighting and label smoothing techniques for solving the category imbalance problem. …”
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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

“…The SC, incorporating spatial attention blocks (SAB) and channel attention blocks (CAB), along with the AG, improves the model's ability to capture key features. The R2CBL, through double convolution operations and residual connections, addresses the gradient vanishing problem and enhances feature extraction. …”
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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…The PHBCP comprises seven main steps: (1) problem definition, (2) data quality control, (3) image preprocessing, (4) feature extraction, (5) feature filtering, (6) modeling, and (7) performance analysis. …”
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Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China by Yanan Zuo, Min Ji, Jiutao Yang, Zhenjin Li, Jing Wang

“…To address this gap, this paper took Shandong Province, China as a case study, and constructed a feature optimization model for the class imbalance problem and a novel risk assessment method to quantify the temporal and spatial distribution of corn borer occurrence risk. …”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…The z-score normalization was performed to alleviate the over-fitting problem. Finally, the retained feature sets were processed for two-class classification by using a heterogeneous ensemble learning model, embodying SVM, DT, k-NN, NB, and RF classifiers. …”
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SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images by Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu

“…On the other hand, fixed convolution kernels and coarse sampling positions are not well suited for adapting to rotating objects in complex remote sensing scenes, resulting in Feature Misalignment. To alleviate the above issues, in this article, a novel SARFA-Net is proposed, incorporating a Shape-Aware Label Assignment (SALA) strategy and Refined Feature Alignment module (RFAM). …”
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Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey by Chaeriah Bin Ali Wael, El Hadj Dogheche, Nasrullah Armi, Agus Subekti, Iyad Dayoub

“…Specifically, we present the benefits and challenges of each 3GPP feature and optimization technique, and their application to communication and computing resource allocation problems. …”
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Specific Features of Big Corporations Lobbying in the Political Dynamics of Global Megapolis (Case of the Housing Renovation Program in Moscow). Part 2 by A. A. Degtyarev, A. S. Potapkin

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Parish Clergy and Secular Authorities in the Tobolsk North in 18^th - Early 20th Centuries: Features of Relationships by V. V. Tsys

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Ukrainian Crisis and the Perspectives of the Identism by Roman N. Lunkin, Sergey B. Filatov

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Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes by Destie Provenzano, John P. Lichtenberger, Sharad Goyal, Yuan James Rao

“…Background: This study evaluated a custom algorithm that sought to perform a radiogenomic analysis on lung cancer genetic and imaging data, specifically by using machine learning to see whether a custom clustering/classification method could simultaneously identify features from imaging data that correspond to genetic markers. …”
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Clinical features of patients with systemic lupus erythematosus (SLE) attending the SLE outpatient clinic at Universitas Hospital in Bloemfontein, South Africa by Robyn Carey, Shereez Simmons, Megan Malherbe, Johan Jansen van Rensburg, Gina Joubert

“…The aim of this study was to determine the most common features of patients with systemic lupus erythematosus attending the outpatient clinic at Universitas Hospital in Bloemfontein, South Africa. …”
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The PCOS Phenotypes in Unselected Populations (P-PUP) study: participant clinical features and data harmonization on analysis of individual participant data by Asmamaw Demis Bizuneh, Sylvia Kiconco, Arul Earnest, Mahnaz Bahri Khomami, Raja Ram Dhungana, Ricardo Azziz, Larisa V. Suturina, Xiaomiao Zhao, Alessandra Gambineri, Fahimeh Ramezani Tehrani, Bulent O. Yildiz, Jin Ju Kim, Liangzhi Xu, Christian Chigozie Makwe, Helena J. Teede, Anju E. Joham, Chau Thien Tay

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Problems of differential diagnosis of myoclon us-epilepsy associated with the mutation of the POLG gene and juvenile myoclonic epilepsy: a clinical case by O. S. Shilkina, N. A. Shnayder, I. P. Artyukhov, P. V. Moskaleva, Yu. S. Panina

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The problem of rare tumors in gynecology: a clinical case of benign retroperitoneal sclerosing pelvic pecoma in 49-year-old woman by V. I. Lanchinsky, Yu. V. Chushkov, A. B. Ponomarev, Yu. I. Osmanov, A. I. Ishchenko, N. V. Vorobev

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EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems by Andre Costa Batista, Ricardo Adriano, Lucas S. Batista

“…The library facilitates the development and comparison of new methods through a structured class system, offering features such as test randomization, performance metrics, and statistical analysis. …”
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Application of existing algorithms for classification and clustering of laser reflection points (k-Means, DBSCAN, SVM) to solve territorial planning problems by D. A. Gura, O. S. Boltovnina

“…The aim of the study is to generalize the experience of using and reveal the features of methods for classifying and clustering images obtained by laser scanning.Method. …”
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