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  1. 1681

    Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

    Published 2021-01-01
    “…It can thus be suggested that the sensory description can be accurately recognized by BP neural network. The application results indicate that all seven rivers had black-odorous phenomenon within a year. …”
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  2. 1682

    Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

    Published 2025-01-01
    “…Here, we show how the informed use of an interpretability method called class activation mapping, and the analysis of the latent representation of the data with the principal component analysis can increase trust in predictions of a neural network (NN) trained to classify quantum phases. …”
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  3. 1683

    Neural recordings can differentiate between spontaneously metastasizing melanomas and melanomas with low metastatic potential. by Jay Shiralkar, Tiana Anthony, Grant A McCallum, Dominique M Durand

    Published 2024-01-01
    “…Multiple studies report that melanomas are innervated tumors with sensory and sympathetic fibers where these neural fibers play crucial functional roles in tumor growth and metastasis with branch specificity. …”
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  4. 1684
  5. 1685

    Cognitive and Neural Differences in Exact and Approximate Arithmetic Using the Production Paradigm: An fNIRS Study by Tianqi Yue, Buxuan Guan, Yan Wu

    Published 2025-01-01
    “…This study investigated the cognitive and neural mechanisms of exact and approximate arithmetic using fNIRS technology during natural calculation processes (i.e., the production paradigm). …”
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  6. 1686
  7. 1687

    Adaptive Neural Control and Modeling for Continuous Stirred Tank Reactor with Delays and Full State Constraints by Dongjuan Li, Dongxing Wang, Ying Gao

    Published 2021-01-01
    “…In this paper, an adaptive neural network control method is described to stabilize a continuous stirred tank reactor (CSTR) subject to unknown time-varying delays and full state constraints. …”
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  8. 1688

    A Bearing Performance Degradation Modeling Method Based on EMD-SVD and Fuzzy Neural Network by Jingbo Gai, Yifan Hu, Junxian Shen

    Published 2019-01-01
    “…At last, the output results of the tested data were normalized to the health index (HI) through learning and training of FNN, and then the performance degradation degree could be described by the distance between the test sample and the normal one. …”
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  9. 1689

    Global Exponential Stability of Antiperiodic Solutions for Discrete-Time Neural Networks with Mixed Delays and Impulses by Xiaofeng Chen, Qiankun Song

    Published 2012-01-01
    “…The problem on global exponential stability of antiperiodic solution is investigated for a class of impulsive discrete-time neural networks with time-varying discrete delays and distributed delays. …”
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  10. 1690

    Transmission of Normal P-Waves across a Single Joint Based on g‐λ Model by Zhanfeng Fan, Jichun Zhang, Hua Xu, Jianhua Cai

    Published 2019-01-01
    “…This paper investigates the wave transmission and reflection of an elastic P-wave at a single joint for normal incidence. First, considering a coupled joint (correction parameter λ, 0<λ<1), a normal deformation constitutive model of the joint (g‐λ model) under static or quasi-static loading is introduced and then extended to dynamic loading. …”
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  11. 1691

    Optimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks by P. Noorunnisa Khanam, MA AlMaadeed, Sumaaya AlMaadeed, Suchithra Kunhoth, M. Ouederni, D. Sun, A. Hamilton, Eileen Harkin Jones, Beatriz Mayoral

    Published 2016-01-01
    “…These applied conditions are used to optimize the following properties: thermal conductivity, crystallization temperature, degradation temperature, and tensile strength while prediction of these properties was done through artificial neural network (ANN). The three first properties increased with increase in both screw speed and C-GNP content. …”
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  12. 1692
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  15. 1695

    Study on Overburden Rock Movement and Stress Distribution Characteristics under the Influence of a Normal Fault by Quansen Wu, Peng Kong, Quanlin Wu, Xinggang Xu, Xingyu Wu, Tao Guo

    Published 2020-01-01
    “…When the accumulated energy reaches a certain threshold, under the action of normal stress or shear stress, the fault will be activated, and a large amount of energy will be released, which can easily induce a rock burst. …”
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  16. 1696
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  19. 1699

    Capability of biodentine and the mineral trioxide aggregate mta sealing in furcal perforation repair. Literature review by Silvana Benavides, Alejandra Guallo, Yecenia Carrillo

    Published 2018-10-01
    “…Various materials have been used to repair furcal perforations including MTA and Biodentine. …”
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  20. 1700