Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…The model allows for further development for the purpose of in-depth study and consideration of various factors acting in the design elements of the track mover, such as the features of the interaction of the support rollers with the links in the support branch of the track, the formation features of the moment of resistance to rotation and the turning moment depending on the type of the turning mechanism — stepped, differential hydrostatic. …”
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Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy by Jin Wang, Yanli Tan, Xiaoning Bo, Guoqin Li

“…The Levy flight constant is used to overcome the local optimization problem. The experiment findings indicate that the optimized algorithm improves the similarity of medical image features by an average of 11.2%, reduces segmentation accuracy by 2.6% under noise interference compared to other algorithms, and has an average peak signal-to-noise ratio 0.96 higher than other algorithms. …”
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Total Hip Arthroplasty after Treatment of an Atypical Subtrochanteric Femoral Fracture in a Patient with Pycnodysostosis by Takahito Yuasa, Koichi Maeda, Kazuo Kaneko, Kazunori Yoshikata

“…She was of short stature with typical facial features, short stubby hands, and radiological features including open cranial sutures, obtuse mandible, and generalized skeletal sclerosis. …”
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A New Generative Neural Network for Bearing Fault Diagnosis with Imbalanced Data by Wei You, Changqing Shen, Liang Chen, Hongbo Que, Weiguo Huang, Zhongkui Zhu

“…Among these methods, convolution neural network is particularly powerful because of its ability to learn fruitful features from the original data. However, normal convolutions cannot fully utilize the information along the data flow while the features are being abstracted in deeper layers. …”
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Prediction of Protein-Protein Interaction Sites Based on Naive Bayes Classifier by Haijiang Geng, Tao Lu, Xiao Lin, Yu Liu, Fangrong Yan

“…The prediction of interaction sites in protein interactions is regarded as an amino acid residue binary classification problem by applying NBC with protein sequence features. …”
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Suicide in Turkey: its changes and regional differences by Yakar Mustafa, Temurçin Kadir, Kervankıran İsmail

“…The temporal dimensions and tendencies, including some characteristic features of suicide in Turkey during the social transformation process, are the subject of this study with a focus on the provinces and differentiation on a regional scale. …”
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Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8 by Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv

“…Aiming at the problem of low accuracy in solder joint defect detection caused by the complex background and difficult to extract defect features of circuit boards using through-hole technology (THT), an improved YOLOv8 solder joint defect target detection algorithm was proposed. …”
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Encrypted malicious traffic detection based on neural network by Xia Longfei, Zhang Qihao, Wu Xianyun, Zhu Xuetian, Gu Xin, Tian Min

“…A scalable window self-attention mechanism is designed, and the Transfomer neural network model is used to classify feature maps, achieving efficient detection of malicious traffic.Experimental results show that this method performs well in detection accuracy, recall rate, and model robustness, and provides a feasible solution to the problem of malicious behavior detection in encrypted traffic.…”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…Further we have conducted feature extraction and pre-processing on our self-created dataset. …”
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ZIRCONS FROM ROCKS OF THE MURZINKA-ADUI METAMORPHIC COMPLEX: GEOCHEMISTRY, THERMOMETRY, POLYCHRONISM, AND GENETIC CONSEQUENCES by G. Yu. Shardakova, S. V. Pribavkin, A. A. Krasnobaev, N. S. Borodina, M. V. Chervyakovskaya

“…Ancient relict zircons (2300–330 Ma) in gneisses and granites show features of magma genesis and belong to types I and II. …”
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Development of an eHealth Intervention in Pediatric Home Infusion Therapy: Interview Study of Needs and Preferences of Parents and Health Care Professionals by Helena Hansson, Charlotte Castor, Hanne Bækgaard Larsen, Martha Krogh Topperzer, Mette Linnet Olesen

“…Both groups emphasized the need for digital features to improve problem-solving and communication as a supplement to existing care to promote a safe environment, self-management, and quality of care. …”
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Clinical manifestations of syncope in children depending on the type of cardiovascular disease by N. A. Tonkikh, S. A. Parshin

“…Syncope in children is a topical multidisciplinary medical and social problem all over the world. Syncope occurrence in children population is about 15%. …”
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Toward Inclusive Smart Cities: Sound-Based Vehicle Diagnostics, Emergency Signal Recognition, and Beyond by Amr Rashed, Yousry Abdulazeem, Tamer Ahmed Farrag, Amna Bamaqa, Malik Almaliki, Mahmoud Badawy, Mostafa A. Elhosseini

“…Evaluations using both compact (52 features) and expanded (126 features) representations show that several classes (e.g., Engine Misfire, Fuel Pump Cartridge Fault, Radiator Fan Failure) achieve near-perfect accuracy, though acoustically similar classes like Universal Joint Failure, Knocking, and Pre-ignition Problem remain challenging. …”
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FUR-DETR: A Lightweight Detection Model for Fixed-Wing UAV Recovery by Yu Yao, Jun Wu, Yisheng Hao, Zhen Huang, Zixuan Yin, Jiajing Xu, Honglin Chen, Jiahua Pi

“…Secondly, an adaptive multiscale feature pyramid network (AMFPN) is designed, which effectively integrates different scales of information through multi-level feature fusion and information transmission mechanism, alleviates the problem of information loss in small-target detection, and improves the detection accuracy in complex backgrounds. …”
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Bioconvective triple diffusion flow of micropolar nanofluid with suction effects and convective boundary conditions by Muhammad Bilal Riaz, Kamel Al-Khaled, Adnan, Sami Ullah Khan, Katta Ramesh

“…This investigation reveals the triple diffusive bioconvective applications subject to micropolar nanofluid flow caused by oscillating stretched surface. The problem is subject to applications of radiative phenomenon and viscous dissipation features. …”
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EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation by Suwicha Jirayucharoensak, Setha Pan-Ngum, Pasin Israsena

“…To alleviate overfitting problem, principal component analysis (PCA) is applied to extract the most important components of initial input features. …”
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Study of literary works in the aspect of artistic time and space continuum (on the example of literature lessons) by Gulnaz Nurfatovna Mukharlyamova, Dilaria Maratovna Abdullina

“…Their consideration is carried out in conjunction with plot, compositional and genre features of a literary work. The article outlines the problem of the need to disclose the main ways of studying a literary work on the basis of the analysis of a chronotope. …”
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Improvement of physical and mechanical characteristics of gearbox shafts using the oxycarbonitriding method by Yu. Ye. Meshkov, M.S. Dmitriev

“…It has been shown that the key problem in optimizing the processes of saturation of metals and alloys with one element is cementation, nitriding, alitization, chromium plating, etc. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

“…Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and better performance to extract fault features. …”
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A Supervised Approach to Predict the Hierarchical Structure of Conversation Threads for Comments by A. Balali, H. Faili, M. Asadpour

“…To perform RTS, we define a set of textual and nontextual features. Then, we use supervised learning to combine these features. …”
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