Development of mobile application based on analysis of factors affecting bra selection by Shahood Uz Zaman, Aqsa Imran, Babar Ramzan

“…Selection of the right size and comfortable bra is very important as the wrong bra selection may lead to many problems like skin irritation, pain, and in extreme cases can induce breast cancer. …”
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SPMgr: Dynamic workflow manager for sampling and filtering data streams over Apache Storm by Youngkuk Kim, Siwoon Son, Yang-Sae Moon

“…In this article, we derive the problems when applying sampling and filtering algorithms to Storm and propose a dynamic workflow management model that solves these problems. …”
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THE INFLUENCE OF THE HORIZONTAL LOAD VIBRATIONS OF THE CRANE-PIPE LAYING MACHINE GIBBET ON THE LOAD MOMENT STABILITY by R. Yu. Sukharev, V. V. Tanskiy

“…Introduction: the main feature of operation of cranes-pipe layers is work in difficult ground conditions, which significantly affects the operating mode of  the machine. …”
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Interest groups in Lithuania: dynamics of development and characteristics of institutionalization by Alvidas Lukošaitis

“… The problems that are pertinent to the activities of the interest groups, their relationship with the State, etc., are obviously understudied in Lithuania. …”
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Point Cloud Registration in Multidirectional Affine Transformation by Chang Wang, Qin Shu, Yunxiu Yang, Fei Yuan

“…If a point cloud is out of order in such a case, many existing algorithms may not be suitable to solve the problem. Therefore, this paper proposes a multidirectional affine registration (MDAR) algorithm based on the statistical characteristics and shape features of point clouds. …”
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Somatoform disorders. The first part: integrative model f pathology by A. A. Pribytkov, A. N. Erichev

“…The problem of somatoform disorders (SFD) was regarded in accordance with the biopsychosocial concept of mental pathology. …”
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RBF-Learning-Based Many-Objective Metaheuristic for Robust and Optimal Controller Design in Fixed-Structure Heading Autopilot by Nattapong Ruenruedeepan, Sujin Bureerat, Natee Panagant, Nantiwat Pholdee

“…The effectiveness of the new algorithm is validated through both fixed-structure heading autopilot controller design problems and standard benchmark optimization problems. …”
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The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems by Sh. Zh. Seilov, А. T. Kuzbayev, A. A. Seilov, D. S. Shyngisov, V. Yu. Goikhman, A. K. Levakov, N. A. Sokolov, Y. Sh. Zhursinbek

“…The technical literature actively discusses ideas for creating digital twins to solve a wide range of problems that arise for enterprises of various kinds. …”
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Classification of α wave motor imagery based on SVM and PCA by Cai Jing, Liu Guangda, Wang Yaoyao, Gong Xiaoyu

“…A feature screening method based on alpha wave and principal component analysis was proposed to solve the problem that the weakly correlated feature quantity would affect the classification accuracy in EEG motor imagery classification. …”
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Regularization for Deep Imbalanced Regression Based on Quantitative Relationship by Heng Zhao, Jiehao Chen, Xianghua Fu

“…The Quantitative Relationship (QuanRel) regularizer is proposed to mitigate the problem of under-representation of features. The effect of frequent samples on the rare samples in the feature space is mitigated by the QuanRel. …”
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Development of intellectual and creative abilities as a pedagogical phenomenon by Yuliana Y. Yumashina

“…The author shows the features of divergent thinking of younger students. …”
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Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening by Qingping Li, Xiaomin Yang, Bingru Li, Jin Wang

“…Then, the multiscale high-frequency features of PAN and MS images are extracted using discrete wavelet transform (DWT). …”
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Pre-authentication and group management based secure handover for space-earth integration network by Jia-nan HONG, Shao-hua LI, Kai-ping XUE, Pei-lin HONG

“…In space-earth integration network,high-speed movement of space nodes brings in the problem of fre-quent satellite access router (SAR) handover.A group-based secure handover scheme for multiple mobility nodes (MN) utilizing satellite trajectory prediction was proposed.By using the movement features of the corresponding entities,an efficient aggregation mechanism for the interaction message occurred during the multi-MN handover was put forward.By using predictable satellite trajectory,authentication and session key agreement between new SAR and MN was accomplished beforehand with the secure context.Compared with existing schemes,the proposed scheme can provide necessary security features,lower the handover delay,and reduce the computation and commu-nication overhead of mutual authentication and key agreement.The proposed scheme well suits the space-earth inte-gration network,where the satellite node is energy constraint.…”
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Application of Image Recognition Method Based on Diffusion Equation in Film and Television Production by Liyuan Guo

“…To a certain extent, it improves the accuracy of image recognition and the audience rating of film and television. Use visual features of the film and television play in similarity calculation for simple movement scene segmentation problem, at the same time, the camera to obtain information, use the lens frame vision measuring the change of motion of the camera, and use weighted diffusion equation and the visual similarity of lens similarity calculation and motion information, by considering the camera motion of image recognition, effectively solve the sports scene of oversegmentation problem such as fighting and chasing.…”
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Intelligent Diagnosis of Subway Traction Motor Bearing Fault Based on Improved Stacked Denoising Autoencoder by Yanwei Xu, Chen Li, Tancheng Xie

“…Aiming at the problem that the complex working conditions affect the effect of manual feature extraction in bearing fault diagnosis of metro traction motor, a fault diagnosis method of metro traction motor bearing based on improved stacked denoising autoencoder (SDAE) is proposed. …”
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THEORETICAL FOUNDATIONS OF CROSS-BORDER PARALLEL PROCEEDINGS: THE CONCEPT AND CAUSES OF OCCURRENCE by FEDOROV A.S.

“…For this reason, the problem of parallel proceedings is critical, because they cause a conflict of jurisdictions and greatly impede the settlement of the dispute. …”
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Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network by Ying Chen, Ruirui Zhang

“…Aiming at the problem that the credit card default data of a financial institution is unbalanced, which leads to unsatisfactory prediction results, this paper proposes a prediction model based on k-means SMOTE and BP neural network. …”
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Text-Guided Distribution Calibration for Few-Shot Object Detection in Remote Sensing Images by Yu Cao, Jingyi Chen, Haoyu Wang, Lei Zhang, Chen Ding, Wei Wei, Shiqi Cao, Meilin Xie

“…Considering the limited visual information of the novel classes, we propose a cross-modal knowledge transfer strategy, which aims to extract the corresponding text feature of the object class name through a multimodal pretraining model CLIP and transfer the text knowledge to the FSOD model, to mitigate the feature bias problem. …”
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Network traffic anomaly detection method based on multi-scale characteristic by Xueyuan DUAN, Yu FU, Kun WANG, Taotao LIU, Bin LI

“…Aiming at the problem that most of the traditional network traffic anomaly detection methods only pay attention to the fine-grained features of traffic data, and make insufficient use of multi-scale feature information, which may lead to low accuracy of anomaly detection results, a network traffic anomaly detection method based on multi-scale features was proposed.The original traffic was divided into sub-sequences with multiple observation spans by using multiple sliding windows of different scales, and the multi-level sequences of each sub-sequence were reconstructed by wavelet transform technology.Multi-level reconstructed sequences were generated by Chain SAE through feature space mapping, and a preliminary judgment of abnormality was made by the classifiers of each level according to the errors of the reconstructed sequences.The weighted voting strategy was adopted to summarize the preliminary judgment results of each level to form the final result judgment.Experimental results show that the proposed method can effectively mine the multi-scale feature information of network traffic, and the detection performance of abnormal traffic is obviously improved compared with traditional methods.…”
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THE MAPPING OF MOVEMENT VERBS FOUND IN THE GOOD EARTH by I Made Juliarta

“…This study attempts to apply that theory in solving the problem of the different language.  Semantic mapping (SM) is a method in statistics for dimensionality reduction that can be used in a set of multidimensional vectors of features to extract a few new features that preserves the main data characteristics. …”
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