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  1. 361

    Energy-Efficient Prediction Clustering Algorithm for Multilevel Heterogeneous Wireless Sensor Networks by Jian Peng, Tang Liu, Hongyou Li, Bing Guo

    Published 2013-02-01
    “…This paper presents research on the existing clustering algorithm applied in heterogeneous sensor networks and then puts forward an energy-efficient prediction clustering algorithm, which is adaptive to sensor networks with energy and objects heterogeneous. …”
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    Article
  2. 362

    Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage by Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov

    Published 2024-12-01
    “…The best model for predicting lethal outcome was LSTM. After comparison with other ML algorithms LSTM showed the highest predictive values (AUROC – 0.83; 95% CI: 0.72–0.92, AURPC – 0.62; 95% CI 0.39–0.81) in term of in-hospital mortality. …”
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    Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

    Published 2023-12-01
    “…Hence, there is a need to predict airfoil noise. This paper uses the airfoil dataset published by NASA (NACA 0012 airfoils) to predict the scaled sound pressure using five different input features. …”
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  8. 368

    AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion by L. A. Ruiz, A. A. Boriskevich

    Published 2019-06-01
    “…An algorithm of adaptive lifting wavelet transform computation based on adaptive prediction of the detail wavelet coefficients, with using subbands halftone image obtained from the original grayscale is proposed. …”
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    Article
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    Online blind equalization algorithm with echo state network based on prediction principle by Ling YANG, Qin HAN, Li CHENG, Aonan ZHAO, Juan DU

    Published 2020-03-01
    Subjects: “…nonlinear channel;predictive error filter;echo state network;recursive least square algorithm…”
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    Article
  11. 371

    RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA‐ELM Algorithm by Meng Xiangdong, Zhang Haifeng, Li Dexin, Dong Yunchang, Zhang Jiajun, Cao Xinyu, Li Gang

    Published 2025-03-01
    “…This paper proposes an advanced RUL prediction model that combines the seagull optimization algorithm (SOA) with the extreme learning machine (ELM) to enhance prediction accuracy. …”
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    Article
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    Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

    Published 2023-01-01
    “…Based on the analysis of the influencing factors of the arrival time of the pure electric bus, the BP neural network arrival time prediction model optimized by the firefly algorithm (FA-BP prediction model) is established by selecting vehicle type, SOC value, battery age, and time as input conditions. …”
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    Article
  14. 374

    Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

    Published 2025-07-01
    “…This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. …”
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    Article
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    DEVELOPMENT OF THE SOCIAL TENSION RISK PREDICTING ALGORITHM IN THE POPULATION OF CERTAIN REGIONS OF RUSSIA by A. B. Mulik, B. I. Kochurov, V. N. Bodrova, G. V. Antonov, I. V. Ulesikova, N. O. Nazarov, Yu. A. Shatyr

    Published 2017-07-01
    “…The possibility of the application for the level of general nonspecific reactivity of an organism as a phenotypic trait marker of social tension risk is identified. An algorithm for predicting the risk of social tension among the population, compactly living in certain territories of the Russian Federation is designed.…”
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  19. 379

    An Improved Physics-Informed Neural Network Algorithm for Predicting the Phreatic Line of Seepage by Yunpeng Gao, Li Qian, Tianzhi Yao, Zuguo Mo, Jianhai Zhang, Ru Zhang, Enlong Liu, Yonghong Li

    Published 2023-01-01
    “…As new ways to solve partial differential equations (PDEs), physics-informed neural network (PINN) algorithms have received widespread attention and have been applied in many fields of study. …”
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    Article
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