Showing 941 - 960 results of 26,283 for search 'Nurgal~', query time: 3.97s Refine Results
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    Neural Correlates of Social Perception Deficit in Schizophrenia: An Event-related Potential Study by Jiang-juan Li, Xin-ping Li, Jia-min Han, Yi-fan Sun, Xiao-hong Liu, Xue-zheng Gao, Li-min Chen, Zhen-he Zhou, Hong-liang Zhou

    Published 2025-01-01
    “…This study aimed to investigate the event-related potential (ERP) characteristics of social perception in schizophrenia patients and to explore the neural mechanisms underlying these abnormal cognitive processes related to social perception. …”
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  3. 943

    Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

    Published 2025-01-01
    “…This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transformer artificial neural network (ANN). Two consecutive trials were conducted with varying amounts of collected data, and three ANN models with the same architecture but different parameters were examined. …”
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  4. 944

    Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie by Kaiwei Liang, Na Qin, Deqing Huang, Yuanzhe Fu

    Published 2018-01-01
    “…Notice that convolutional neural networks (CNNs) are powerful in extracting high-level local features and that recurrent neural networks (RNNs) are capable of learning long-term context dependencies in vibration signals. …”
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  5. 945

    New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay by Xueying Shao, Qing Lu, Hamid Reza Karimi, Jin Zhu

    Published 2014-01-01
    “…The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. …”
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  6. 946

    Neural correlates of vicarious reward processing and peer victimization experiences in late childhood by Simone Dobbelaar, Sanne Kellij, René Veenstra, Berna Güroğlu

    Published 2025-01-01
    “…This preregistered study examined the neural correlates of vicarious reward processing and subsequent trust behavior in relation to experiences of victimization averaged over two years in late childhood. …”
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    Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network by Yumei Liu

    Published 2022-01-01
    “…In order to improve the effect of digital media art teaching, this study combines the neural network algorithm to carry out the innovation of digital media art teaching resource management and teaching method innovation. …”
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    How to publish a new fungal species, or name, version 3.0 by M. Catherine Aime, Andrew N. Miller, Takayuki Aoki, Konstanze Bensch, Lei Cai, Pedro W. Crous, David L. Hawksworth, Kevin D. Hyde, Paul M. Kirk, Robert Lücking, Tom W. May, Elaine Malosso, Scott A. Redhead, Amy Y. Rossman, Marc Stadler, Marco Thines, Andrey M. Yurkov, Ning Zhang, Conrad L. Schoch

    Published 2021-05-01
    “…This paper provides an updated and expanded discussion of current publication requirements along with best practices for the description of new fungal species and publication of new names and for improving accessibility of their associated metadata that have developed over the last 10 years. …”
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    Application of Artificial Neural Network for Damage Detection in Planetary Gearbox of Wind Turbine by Marcin Strączkiewicz, Tomasz Barszcz

    Published 2016-01-01
    “…To overcome this obstacle, it is proposed to detect a fault development with Artificial Neural Network (ANN) and further observation of linear regression parameters calculated on the estimation error between healthy and unknown condition. …”
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  20. 960

    Determining the Thermal Conductivity of Clay during the Freezing Process by Artificial Neural Network by Xiuling Ren, Yanhui You, Qihao Yu, Guike Zhang, Pan Yue, Mingyang Jin

    Published 2021-01-01
    “…By measuring the thermal conductivity of clay using a transient hot-wire method in the laboratory, the influential factors of the thermal conductivity of soils during the freezing process were analyzed, and a predictive model of thermal conductivity was developed with an artificial neural network (ANN) technology. The results show that the variation of thermal conductivity can be divided into three stages with decreasing temperature, positive temperature stage, transition stage, and negative temperature stage. …”
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