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    Key microbial functional genes and their diversity involved in soil typical reduction processes: A review by FENG Jiayin, ZHU Min, HE Yan

    Published 2017-11-01
    “…Soil is a complex redox system where many active biogeochemical processes co- occurred, such as denitrification, iron/sulfate reduction, methanogenesis and reductive dehalogenation, etc. …”
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    Visualization of Learning Process in Feature Space by Tomohiro Inoue, Noboru Murata, Taiki Sugiura

    Published 2023-05-01
    “…Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. However, visualizing such changes is difficult because it requires dimensionality reduction while maintaining consistency with the data structure in high-dimensional space and in the temporal direction. …”
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  6. 46

    Effect of digital noise reduction processing on subcortical speech encoding and relationship to behavioral outcomes by Subong Kim, Mary Schroeder, Hari M. Bharadwaj

    Published 2025-07-01
    “…Abstract Perceptual benefits from digital noise reduction (NR) vary among individuals with different noise tolerance and sensitivity to distortions introduced in NR-processed speech; however, the physiological bases of the variance are understudied. …”
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    Information predictability of stochastic processes in discrete time by A. V. Ausiannikau, V. M. Kozel

    Published 2019-06-01
    “…The definition of one-step information predictability stochastic process in discrete time is given. …”
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    Information predictability of stochastic processes in continuous time by A. V. Ausiannikau

    Published 2019-06-01
    “…The definition of information predictability stochastic process and its parameters is given in the article. …”
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    Predictable and non-stationary processes of interval PREDICTION BASED ON stochastic differential equations by A. V. Ausiannikau

    Published 2019-06-01
    “…The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. …”
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  13. 53

    Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

    Published 2025-01-01
    “…This study emphasizes the integration of experimental data, process analysis, and predictive modelling as a means of creating a digital twin framework for µ-SPIF.…”
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    Energy prediction and optimization for robotic stereoscopic statue processing by Xu-Hui Cheng, Fang-Chen Yin, Cong-Wei Wen, Ye Wang, Yi-Hao Li, Ji-Xiang Huang, Shen-Gui Huang

    Published 2025-03-01
    “…Subsequently, the spindle power of the robot is predicted based on the relationship between force and power variations during the grinding process. …”
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    Computer-based monitoring system of retort processes for energy efficiency and carbon emission reduction by Hsu-Chou Hsiao, Pang-Shuo Tu, Yu-Ming Chen

    Published 2024-12-01
    “…In this project, sensors and network equipment were installed in a retort, and a PC-based system was used to process the collected data. To monitor the sterilization status and energy consumption, we added flow sensors and electricity meters and built a visual identification system. …”
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