Closed-Loop Clustering-Based Global Bandwidth Prediction in Real-Time Video Streaming by Sepideh Afshar, Reza Razavi, Mohammad Moshirpour

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Imbalanced data stream classification method with limited labels by LI Yanhong, LI Zhihua, ZHENG Jianxing, BAI Hexiang, GUO Xin

“…Extreme learning machine possesses advantages such as fast training speeds and excellent generalization performance. However, existing data stream classification methods based on extreme learning machine often struggle to simultaneously address common challenges in data stream, such as multi-class imbalance, concept drift, and the expensive labeling cost. …”
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Imbalanced data stream classification method with limited labels by LI Yanhong, LI Zhihua, ZHENG Jianxing, BAI Hexiang, GUO Xin

“…Extreme learning machine possesses advantages such as fast training speeds and excellent generalization performance. However, existing data stream classification methods based on extreme learning machine often struggle to simultaneously address common challenges in data stream, such as multi-class imbalance, concept drift, and the expensive labeling cost. …”
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Intensified Convection Heat Transfer of Single-Row Bunch of Finned Tubes in an Air Stream: Experimental Study and Generalization of the Obtained Data by A. B. Sukhotskii, G. S. Marshаlоvа

“…As a result of generalization of experimental data, the generalized criteria equation for calculation of heat transfer of the single-row bunch consisting of bimetallic finned tubes when cross pitches of installation of tubes, the areas of exhaust outlets and heights of the exhaust shaft are various, has been obtained. …”
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Design method of magnetic resonance biplanar gradient coil based on target field method and stream function by Qingming Huang, Qingming Huang, Luying Huang, Luying Huang, Haikang Zhang, Yicheng Huang, Yicheng Huang, Wentao Wang, Yunzhang Cheng, Bing Shen, Bing Shen

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CONTROL OF APPLICATION EFFICACY OF THE ASCENDING GAS - FLUID STREAM METHOD IN TREATMENT OF DIFFUSE PERITONITIS by S. I. Remizov, I. V. Remizov, Yu. P. Savchenko

“…The ascending gas and fluid stream method was applied in 12 patients with repeated purulent diffuse peritonitis. …”
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Traditional models chemical kinetics and potentially streaming equation for a closed system by V. I. Bykov, I. E. Starostin

“…Proposed potentially streaming method is preferred in the absence of the detailed mechanism of complex chemically reacting systems. …”
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METHODS OF USING STEM - TECHNOLOGY IN TEACHING ANATOMY AT SCHOOL by Asanbekova Ch. A., Bekbolotova N. N., Abdyramanova N. T.

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Design of Privacy Preservation Model for Data Stream Using Condensation Based Anonymization by Latha P, Thangaraj M

“… In modern world, continuous data flows that may be analyzed in real-time and are created from multiple sources are referred to as data streams. As data streams become increasingly prevalent across various sectors, preserving the privacy of sensitive information while maintaining data utility is a significant challenge. …”
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A Method of Performance Optimization for Distributed Stream Data Processing in Vehicle Data Peak Scenario by TANG Pengfei, HU Weimin, YANG Yongtao

“…However, data flood occurs due to the instability of network communication environment between vehicle and ground system, resulting in performance bottleneck when big data computing framework uses the general configuration. This paper makes an in-depth analysis on the causes of the performance bottleneck, and proposes an optimization method based on the user-defined Kafka partition strategy and the optimization of Spark Streaming processing parameters. …”
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PROJECT METHOD IN STEM EDUCATION USING ARDUINO SOFTWARE AND HARDWARE PLATFORM by Олексій Воронкін, Сергій Лущин

“…Materials and methods. Methods of analysis and systematization of scientific and pedagogical literature were used; generalization of the results of domestic and foreign experience in the use of a prose method in the STEM education using the ARDUino software and hardware platform. …”
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Identification of system models from potential-stream equations on the basis of deep learning on experimental data by I. E. Starostin, S. P. Khalyutin

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Assessing chemical pollution with biomonitoring approaches in streams and rivers: a critical review by Ariane Moulinec, Jens Arle, Henner Hollert, Sarah Hörchner, Sarah Johann, Cornelia Kienle, Matthias Oetken, Andrea Sundermann

“…Abstract Many rivers and streams are affected by chemical pollution, yet current chemical monitoring methods are limited for technical and economic reasons. …”
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An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network by Yue Tong, Lyu Li, Siyuan Li, Lei Wang, Jun Ma, Ting Lyu, Kunlun He

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Method of obtaining of nonneuronal cultures of astrocytes, derivated from human mesenchymal stem cells by S. M. Gramatiuk, Yu. V. Іvanova, A. A. Hudyma

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Yield and Quality Response of Indeterminate Tomatoes to Combined Growing Methods and Rootstock Cultivars by Mampe E. Ndlovu, Puffy Soundy, Jacob J. De Klerk, Martin M. Maboko

“…The effect of growing methods (scion of a single stem or double stems and non-grafted plant as the control) and rootstock cultivars (Goldbac, SVTX6258, and Booster) on the yield and quality of tomatoes grown in a plastic tunnel and a shade net structure was investigated. …”
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Generalized real-time state of health estimation for lithium-ion batteries using simulation-augmented multi-objective dual-stream fusion of multi-Bi-LSTM-attention by Jarin Tasnim, Md. Azizur Rahman, Md. Shoaib Akhter Rafi, Muhammad Anisuzzaman Talukder, Md. Kamrul Hasan

“…This paper presents a novel deep-learning framework based on multi-loss optimized dual stream fusion of attention integrated multi-Bi-LSTM networks (multi-ABi-LSTM), for generalized real-time SOH estimation of lithium-ion batteries. …”
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Grey Model for Stream Flow Prediction by Vishnu B, Syamala P

“…Generally relatively long period data series of stream flow records is required for the prediction using stochastic methods. …”
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Motivation in rural math education within general and special education settings by Haidee A. Jackson, Angela Starrett, Bryndle Bottoms

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Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques by K. Varalakshmi, J. Kumar

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