Mathematical Modelling Approaches for Integrated Single Machine Scheduling and Electric Vehicle Routing Problem by İclal Bağcı, Hande Öztop, Zeynel Abidin Çil

“…Due to various charging feature constraints, EVRP diverges from the classical vehicle routing problem (VRP) and becomes more complex. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…This study introduces an SBO framework tailored for Gaussian process regression models, featuring an automatic kernel construction algorithm coupled with a beam search strategy (AKC-GPR). …”
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Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

“…The Newton-Krylov method is an effective method for solving the multi-physics coupling problem, featuring strong stability and a high-order convergence rate. …”

Multi-Neighborhood Sparse Feature Selection for Semantic Segmentation of LiDAR Point Clouds by Rui Zhang, Guanlong Huang, Fengpu Bao, Xin Guo

“…To address these problems, a sparse feature dynamic graph convolutional neural network, abbreviated as SFDGNet, is constructed in this paper for LiDAR point clouds of complex scenes. …”
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ASSESSMENT OF SOCIAL AND PSYCHOLOGICAL CONSEQUENCES OF RADIATION DANGER EXPERIENCE AMONG DIFFERENT AGE GROUPS OF THE POPULATION FROM CONTAMINATED AREAS OF RUSSIA by T. A. Marchenko, T. B. Melnitskaya, T. V. Belykh

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Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM by Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan

“…Predicting dropout rates is the first step to address this problem, and MOOCs have a large amount of behavioral data that can be used for such predictions. …”
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Instance Segmentation Algorithm of Urban Street Scene Based on Data Augmentation and Feature Enhancement by LI Chengyan, CHE Zixuan, ZHENG Qisen

“…Compared with the traditional method, the processed image is closer to the real source data distribution. Aiming at the problem of small target segmentation in urban street scenes, the idea of feature weighting and feature fusion is introduced. …”
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FEATURES OF OBTAINING GEOELECTRIC CHARACTERISTICS OF THE ENVIRONMENT IN AN EXPERIMENTAL ELECTRICAL PROSPECTING COMPLEX WITH PSEUDONOISE SIGNALS by V. V. Bobrovsky, P. V. Ilyichev

“…Zhdanov, variants of an approximate solution to the inverse problem of Transient Electromagnetics Method (TEM) are shown, implemented in the software of the electrical exploration complex. …”
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UAV Small Target Detection Model Based on Dual Branches and Adaptive Feature Fusion by Guogang Wang, Mingxing Gao, Yunpeng Liu

“…In order to solve the problem of small and dense targets in drone aerial images, a small target detection model based on dual branches and adaptive feature fusion is proposed. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…This work addresses the battery lifetime prediction problem by leveraging machine learning (ML) methods. …”
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Explainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance. by Hootan Kamran, Dionne Aleman, Chris McIntosh, Tom Purdie

“…This iterative process tends to eliminate unacceptable plans, creating a significant class imbalance problem for machine learning efforts aimed at automating the classification of RT plans as either acceptable or not. …”
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Pathomorphological features of the skin and muscle tissue of experimental animals in the case of lifetime and postmortem damage by A. V. Kis

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FEATURES OF STRESSES AT THE APEX OF AN ELASTIC WEDGE, SUPPORTED BY A THIN FLEXIBLE COATING ON THE SIDES by B. V. Sobol', A. N. Soloviev, M. M. Payzulaev, E. V. Rashidova, G. M. Murtazaliev

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Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization by Liqing Geng, Yadong Yang, Genghuang Yang, Yongfeng Zheng, Xiaocong Liu

“…Aiming at the problem of low prediction accuracy caused by the intermittent and fluctuating characteristics of photovoltaic power, a short-term photovoltaic power combined prediction method based on feature screening and weight optimization is proposed. …”
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Combining Handcrafted Spatio-Temporal and Deep Spatial Features for Effective Human Action Recognition by R. Divya Rani, C. J. Prabhakar

“…In this research paper, we address the problem of human action recognition by combining handcrafted spatio-temporal features with deep spatial features. …”
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FEATURES OF CALCULATION OF UNEVEN SWELLING SCREW PILES OF OIL AND GAS PIPELINES IN FROZEN GROUND by V. N. Kuznetsova, M. V. Oryol

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Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces by Tianshi Yu, Alireza Mohammadi, Ying Tan, Peter Choong, Denny Oetomo

“…A non-convex optimisation problem is formulated which accounts for the constraint introduced by the composite features. …”
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Adaptive Scattering Feature Awareness and Fusion for Limited Training Data SAR Target Recognition by Chenxi Zhao, Daochang Wang, Xianghui Zhang, Yuli Sun, Siqian Zhang, Gangyao Kuang

“…Therefore, how to perceive and integrate ESFs emerges as an essential issue. To address this problem, the adaptive scattering feature awareness and fusion network is proposed to obtain the more holistic target description. …”
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A binary choice model for adoption of an emerging travel mode with unique service features by Yu Gu, Anthony Chen, Sunghoon Jang, Songyot Kitthamkesorn

“…In the binary mode choice problem with an emerging travel mode, the unique service features of the emerging mode can lead to the “oddball” effect and “superstar” effect, which play a critical role in the travel behavior and mode adoption. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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