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

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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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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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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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Dimensions fractales de réseaux vectoriels : méthodes d’estimation et robustesse des résultats by Nathalie Thommeret, Jean-Stéphane Bailly, Jean-Marc Bardet, Brigitte Kaiser, Christian Puech

“…Streams networks are part of transport networks and more generally of “spatial networks” that gave rise to fundamental researches (Barthelemy, 2011) and applied geography (Strano et al., 2012). …”
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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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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

“…The article presents method and results of experimental study of the intensified heat transfer for the single-row bunch consisting of bimetallic pipes with spiral knurled ribs with the following parameters: outer diameter of a rib d = 56 mm; rib height h = 15 mm, rib pitch s = 2.5 mm, average thickness of a rib D = 0.5 mm; diameter of a rib at the bottom d0 = 26 mm, coefficient of fins j = 21. …”
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Assessment of Baseflow Separation Methods Used in the Estimations of Design-Related Storm Hydrographs Across Various Return Periods by Oscar E. Coronado-Hernández, Rafael D. Méndez-Anillo, Manuel Saba

“…The findings demonstrate that the proposed methods effectively reproduce storm hydrographs for return periods ranging from 5 to 200 years, providing valuable insights for hydrological design, which can be employed using the data from stream gauging stations in rivers.…”
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INNOVATIVE METHODS OF TEACHING HISTORY AT MODERN UNIVERSITIES by A. Yu. Suslov, M. V. Salimgareev, Sh. S. Khammatov

“…The research undertaken is based on activity and competence-based approaches. The methods of analysis and synthesis of the academic literature on the research topic were used; the methods of reflection and generalization of teaching activities of the Department of Humanitarian Disciplines of theKazanNationalResearchTechnologicalUniversity were applied as well.Results and scientific novelty. …”
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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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Amismart an advanced metering infrastructure for power consumption monitoring and forecasting in smart buildings by Sarah Hadri, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohamed El aroussi, Zaradatcht Taifour, Jaafar Gaber

“…Furthermore, a novel practical stacking method for Short-Term Load Forecasting (STLF) using a stacked generalization ensemble method, which combines XGBoost and RF methods has been proposed. …”
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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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Packet Media Streaming with Imprecise Rate Estimation by Dan Jurca, Pascal Frossard

“…Efficient streaming solutions generally rely on the knowledge of the channel bandwidth, in order to select the media packets to be transmitted, according to their sending time. …”
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