Quantitative and intelligent methods for economic forecasts (birth rate time series (Ntl)) by Katerina ZELA

“…However, accurate forecasting is still one of the main challenging problems faced by decision makers in various fields, especially in financial markets. …”
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A graphical modelling approach to the dissection of highly correlated transcription factor binding site profiles. by Robert Stojnic, Audrey Qiuyan Fu, Boris Adryan

“…NCPC and DDGraph can also be applied to other problems involving highly correlated biological features. …”
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A Deep Pedestrian Tracking SSD-Based Model in the Sudden Emergency or Violent Environment by Zhihong Li, Yang Dong, Yanjie Wen, Han Xu, Jiahao Wu

“…Multiobject tracking plays an important role in solving many problems for public security. Under crowded scenarios and emergency places, it is a challenging problem to predict and warn owing to the complexity of crowd intersection. …”
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FRENCH SPORTS PR-TEXTS IN THE TRANSLATION ASPECT (BASES ON THE EXAMPLE OF THE FOOTBALL PRESS) by A.A. Salkhenova, I.A. Fedorova, L.G. Karandeeva

“…The paper is devoted to one of the particular problems in translation – the analysis of Russian translations of French texts about football taken from the French sports press. …”
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Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

“…The comprehensive framework, which encompasses feature selection, data processing, deep learning model construction, and interpretation, demonstrates significant potential for addressing a broad range of engineering problems through deep learning methodologies.…”
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A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers by Seyed Amir Hosseini, Behrooz Taheri, Seyed Hossein Hesamedin Sadeghi, Adel Nasiri

“…In this method, first, the features of voltage and current waveforms in various operational scenarios are extracted through a two-dimensional modeling. …”
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Machine learning prediction of coal workers’ pneumoconiosis classification based on few-shot clinical data by Jiaqi Jia, Jingying Huang, Yuming Cui, Dekun Zhang, Haiquan Li, Songquan Wang, Wenlu Hang

“…The proposed integrated feature selection method, which considered both the importance and independence of features, significantly enhanced model performance, providing a valuable tool for early screening and diagnosis of CWP.…”
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tRNA signatures reveal a polyphyletic origin of SAR11 strains among alphaproteobacteria. by Katherine C H Amrine, Wesley D Swingley, David H Ardell

“…Here we develop simple phyloclassifiers from bioinformatically derived tRNA Class-Informative Features (CIFs), features predicted to target tRNAs for specific interactions within the tRNA interaction network. …”
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Underground personnel recognition based on low-light enhancement of infrared and visible light image fusion by NAN Jingjing, PAN Hongguang, JIANG Ze, ZHANG Libin, ZHANG Huipeng

“…Meanwhile, the detection speed reached 31.2 frames/s, solving problems such as misdetection and missed detection caused by unclear personnel features in low-light underground scenarios.…”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

“…A Feature Pyramid structure and Feature Pyramid Network (FPN+PAN) are integrated into the Neck part and a Simplified Spatial Pyramid Pooling Fast (SimSPPF) module is introduced to realize the integration of local features and global features. …”
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Defeat of the urinary system against the background of connective tissue dysplasia in a 7-year-old child (clinical observation) by T. I. Bikmetov, I. V. Zorin, R. A. Zorina, E. V. Nesterenko

“…Special attention is paid to the problems of nephrology in children in pediatrics. Early detection of a real lesion in children with connective tissue dysplasia is difficult. …”
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Neuroendocrine Neoplasms of the Breast: Current Insights and Future Directions by Lei Jiang, Xinyuan Pan, Zhiqiang Lang

“…Objective We aim to discuss the diagnosis, treatment progress, existing problems, and future development direction of breast NENs. …”
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Advancements in the application of MRI radiomics in meningioma by Dengpan Song, Ruoyu Cai, Yuanhao Lou, Kaiyuan Zhang, Dingkang Xu, Dongming Yan, Fuyou Guo

“…Current research focuses on five topics, namely, differentiation, grade and subtypes, molecular pathology, biological behavior, treatment, and complications, with 14, 32, 14, 12, and 19 studies addressing these topics (some of which are multiple topics). Combined imaging features with clinical or pathological features often outperform traditional clinical models. …”
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Carbonate accumulation morphology in a soil chronosequence in the southern Pre-Ural, Russia: Significance for Holocene paleoenvironmental reconstruction by Olga S. Khokhlova, Alsu M. Kouznetsova

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Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix–Vector Computations on the CPU Architecture by Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin

“…Sparse matrix–vector multiplication (SpMV) plays a significant role in the computational costs of many scientific applications such as 2D/3D robotics, power network problems, and computer vision. Numerous implementations using different sparse matrix formats have been introduced to optimize this kernel on CPUs and GPUs. …”
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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

“…Finally, the prescription decoder fuses the symptom features, the retrieved prescription, and herbal template features to generate the most relevant and effective Chinese medicine prescription. …”
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The right to be heard: towards a general principle of administrative law by P. A. Kuryndin

“…To do this, it is necessary to determine the historical background for the emergence of this right, the development features in various legal traditions, to identify the features of Russian judicial practice, correlating them with foreign doctrines and associated concepts (primarily, with the right of participation).Main results. …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…This study systematically evaluated the performance of each feature selection algorithm under different population sizes, specifically by comparing their average running time and objective function values to identify the optimal feature subset. …”
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Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition by Zhiyun Zheng, Qilong Yuan, Huaizhu Zhang, Yizhou Wang, Junfeng Wang

“…Thirdly, the Spatio-Temporal Location Attention (STLAtt) module is used to identify the most informative joints in the sequence of skeletal information at a specific frame, hence improving the model’s ability to extract features and recognize actions. Finally, multi-stream data fusion input structure is used to enhance the input data and expand the feature information. …”
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MODERN APPROACHES FOR INTEGRATED REPORTING PREPARING IN UKRAINE by Tetiana Momot, Maria Karpushenko, Tang Linlin

“…The purpose of the work is a detailed consideration of the essence of integrated reporting, problems of its compilation, analysis of existing approaches to the formation of indicators of integrated reporting of different companies taking into account the needs of users, justification of indicators included in integrated reporting. …”
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