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  1. 641

    Intelligent Psychology Teaching System Based on Adaptive Neural Network by Xiaojia Pang

    Published 2022-01-01
    “…Firstly, the basic structure of the neural network in the teaching system is introduced, the psychological teaching algorithm based on the adaptive neural network is introduced, the ideas are formulated, and the four learning methods and the design elements of the adaptive neural network are described. …”
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    Encefalocele sincipital como defecto de tubo neural infrecuente by Jean Zamora-Medina, Jovanny Zempoalteca-Mendoza, Fernando J. Gallardo-Bibiano, Federica Riccio-Cuomo, Germán Rivera-Monroy

    Published 2024-01-01
    Subjects: “…Neonato. Defecto del tubo neural. Neurología. Radiología. Pediatría.…”
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    Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation by Ruchika Malhotra, Madhukar Cherukuri

    Published 2025-01-01
    “…Leveraging the prevailing advancements in computational power and storage capacity, the study present a novel defect categorization model built upon Convolutional Neural Networks (CNNs). Extensive experiments were carried out on defect datasets from five Android operating system application modules, leading to the creation of 60 SDC models (5 datasets x 4 feature sets x 3 approaches). …”
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    New Measure and Calculation Method for Gear Pair Normal Backlash by Song Shusen, Yang Lianbo, Xie Songsong, Yang Xiao, Wang Xin, Tang Haichuan

    Published 2020-06-01
    “…Calculated the gear pair normal backlash constant <italic>c</italic> according to definition and calculation method of gear pair normal backlash from GB/Z 18620.2—2008 at a given work center distance. …”
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  10. 650

    Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida by Jennifer L. Gillett-Kaufman, Sandra A. Allan, Jonael H. Bosques-Mendez, Lyle J. Buss

    Published 2014-09-01
    “…ENY-871/IN1046: Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida (ufl.edu) …”
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    Speech Separation Using Convolutional Neural Network and Attention Mechanism by Chun-Miao Yuan, Xue-Mei Sun, Hu Zhao

    Published 2020-01-01
    “…By analyzing the characteristics of the convolutional neural network and attention mechanism, it can be found that the convolutional neural network can effectively extract low-dimensional features and mine the spatiotemporal structure information in the speech signals, and the attention mechanism can reduce the loss of sequence information. …”
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  14. 654

    On destabilising quasi-normal modes with a radially concentrated perturbation by Valentin Boyanov

    Published 2025-01-01
    “…In this work we explore some aspects of the spectral instability of back hole quasi-normal modes, using a specific model as an example. …”
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    Nonlinear Autoregressive Neural Network for Antimicrobial Waste Water Treatment by Anwer Mustafa Hilal, Mashael M. Asiri, Shaha Al-Otaibi, Faisal Mohammed Nafie, Amal Al-Rasheed, Mohammed Rizwanullah, Ishfaq Yaseen, Abdelwahed Motwakel

    Published 2022-01-01
    “…In addition, the proposed method use the learning under supervision technique of a nonlinear autoregressive for estimating the CO2 concentration and flows in units of rate of a reaction characteristics, an exogenous (NARX) neural network model with two activation functions was used (Log-sigmoid and hyperbolic tangent) and for both the findings of a TC and SMX absorption simulations showed the random forest performed support vector tree and nonlinear autoregressive exogenous neural networks and machine learning methods. …”
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  18. 658

    Neutrosophic D’Agostino Test of Normality: An Application to Water Data by Mohammed Albassam, Nasrullah Khan, Muhammad Aslam

    Published 2021-01-01
    “…We propose the D’Agostino test to test the normality of the data having indeterminate observations. …”
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  19. 659

    Jurnal Kesehatan Andalas. 2019; 8(4) Gitelman Syndrome by Venni Dimitri, Drajat Priyono

    Published 2020-01-01
    “…Jurnal Kesehatan Andalas…”
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