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    Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks by Hongtao Song, Shanshan Sui, Qilong Han, Hui Zhang, Zaiqiang Yang

    Published 2020-03-01
    “…In this article, we propose a novel secure data aggregation solution based on autoregressive integrated moving average model, a time series analysis technique, to prevent private data from being learned by adversaries. …”
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    JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

    Published 2024-10-01
    “…In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into many categories from unstructured data. …”
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    Internet complex network separation degree analysis based on hops by SU Wei-ji, ZHAO Hai, XU Ye, ZHANG Wen-bo

    Published 2005-01-01
    “…Small world character of Internet was illustrated more amply than the other international research result in this field; Aim at hops and RTT, 10 kinds regression analysis were done and a conclusion was draw that it more accords with power function between hops and RTT, the key parameters were found, which proved Internet complex network transmission is power function. …”
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    Enhancing underwater acoustic communication networks with RIS: Precise performance analysis over κ − μ shadowed fading distribution by Moloy Kumar Ghosh, Mostafa Zaman Chowdhury

    Published 2025-06-01
    “…This work provides an in-depth analysis of the effects of key factors including the fading severity, shadowing intensity, path loss, data transmission rate, and average signal-to-noise ratio (SNR), along with different modulation schemes on the communication performance. …”
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    Technical efficiency analysis using data envelopment analysis (DEA) and Tobit regression on convenience store networks in Indonesia by Fahmy Radhi, Henry Yuliando, Alifa Fadhila, Ihda Arifin Faiz, Faiz Zamzami

    Published 2025-07-01
    “…This study contributes empirically to the literature on retail efficiency in developing countries, focusing on nationally scaled convenience store networks in densely populated urban environments. Additionally, these findings provide strategic insights for the management in formulating data-driven operational policies.…”
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    Reinforcement learning meets technical analysis: combining moving average rules for optimal alpha by Javier H. Ospina-Holguín, Ana M. Padilla-Ospina

    Published 2025-12-01
    “…A policy network, represented by a feedforward neural network, is trained using historical data to convert states into trading actions. …”
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    Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration by Nikita S. Pyko, Denis V. Tishin, Pavel Yu. Iskandirov, Artur M. Gafurov, Bulat M. Usmanov, Mikhail I. Bogachev

    Published 2023-07-01
    “…Information obtained using these methods must be analyzed in conjunction with hydrometeorological monitoring data.Aim. Investigation of the possibility of automating the monitoring of the well-being of the forest fund based on the integration of ground survey data, remote multispectral measurements and hydrometeorological observations using the mathematical apparatus of nonparametric Bayesian networks.Materials and methods. …”
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    On Suitability of Day-Night Average Sound Level Descriptor in Indian Scenario by Naveen GARG

    Published 2019-04-01
    “…The paper analyzes the monthly day equivalent levels, Lday (06–22h) and night equivalent levels, Lnight (22–06 h) values observed in year 2015 and 2016 for the 70 locations whereby continuous noise monitoring is conducted under the National Ambient Noise Monitoring Network (NANMN). The study exclusively analyzes the ambient noise data acquired for 25 locations in commercial zone, 12 in industrial, 16 in residential and 17 in silence zones. …”
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    Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

    Published 2025-01-01
    “…GRU, a deep learning-based recurrent neural network, processes sequential data using a gating mechanism, making it effective for capturing short-term price dynamics. …”
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    Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

    Published 2025-07-01
    “…This indicates that the digital intelligent financial audit model proposed in this study can accurately analyze financial audit data, proving that it can comprehensively process various types of financial data and effectively improve the efficiency of modern enterprise audit data analysis.…”
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