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  1. 1181

    Stability and Hopf Bifurcation of an n-Neuron Cohen-Grossberg Neural Network with Time Delays by Qiming Liu, Sumin Yang

    Published 2014-01-01
    “…A Cohen-Grossberg neural network with discrete delays is investigated in this paper. …”
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    Article
  2. 1182

    A Semiparametric Approach for Modeling Partially Linear Autoregressive Model with Skew Normal Innovations by Leila Sakhabakhsh, Rahman Farnoosh, Afshin Fallah, Mohammadhassan Behzadi

    Published 2022-01-01
    “…The nonlinear autoregressive models under normal innovations are commonly used for nonlinear time series analysis in various fields. …”
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  3. 1183

    A Comprehensive Review of the Diversity of Fungal Secondary Metabolites and Their Emerging Applications in Healthcare and Environment by Khushbu Wadhwa, Neha Kapoor, Hardeep Kaur, Eman A. Abu-Seer, Mohd. Tariq, Sazada Siddiqui, Virendra Kumar Yadav, Parwiz Niazi, Pankaj Kumar, Saad Alghamdi

    Published 2024-11-01
    “…The present review comprehensively analyses the diversity of fungal SMs along with their emerging applications in healthcare, agriculture, environmental sustainability, and nutraceuticals. …”
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    Article
  4. 1184

    Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay by Yingguo Li

    Published 2012-01-01
    “…We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. …”
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  5. 1185

    Outer Retinal Layers’ Thickness Changes in relation to Age and Choroidal Thickness in Normal Eyes by Mona Kamal Abdellatif, Yasser Abdelmaguid Mohamed Elzankalony, Ahmed Abdelmonsef Abdelhamid Ebeid, Weam Mohamed Ebeid

    Published 2019-01-01
    “…To identify and correlate age-related changes in outer retinal layers’ thickness and choroidal thickness (CT) in the normal eyes using spectral-domain optical coherence tomography (SD-OCT) and to investigate factors affecting these changes. …”
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  6. 1186
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  8. 1188

    Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment by Lijun Song, Zhongxing Duan, Bo He, Zhe Li

    Published 2018-01-01
    “…In the paper, the federal Kalman filter (FKF) based on neural networks is used in the velocity and attitude matching of TA, the Kalman filter is adjusted by the neural networks in the two subfilters, the federal filter is used to fuse the information of the two subfilters, and the global suboptimal state estimation is obtained. …”
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  9. 1189
  10. 1190

    Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment by Ranhui Liu, Xinyan Hu, Chengyuan Zhang, Chuanxi Liu

    Published 2020-01-01
    “…Then, an adaptive Chebyshev neural network (ACNN) controller is proposed to effectively control the ventilator system where the unknown load torque and the unknown disturbance caused by the complex environment under the shaft are approximated by the Chebyshev neural network (CNN). …”
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  11. 1191

    A Modular Neural Network Scheme Applied to Fault Diagnosis in Electric Power Systems by Agustín Flores, Eduardo Quiles, Emilio García, Francisco Morant, Antonio Correcher

    Published 2014-01-01
    “…This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a neural module for each type of component comprising the electric power system, whether it is a transmission line, bus or transformer. …”
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  12. 1192
  13. 1193

    A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors by Yiming Zhang, Hang Zhao, Jinyi Ma, Yunmei Zhao, Yiqun Dong, Jianliang Ai

    Published 2021-01-01
    “…This scheme adopts a deep neural network with a CNN-LSTM-fusion architecture (CNN: convolution neural network; LSTM: long short-term memory). …”
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  14. 1194
  15. 1195

    Discriminative training of spiking neural networks organised in columns for stream‐based biometric authentication by Enrique Argones Rúa, Tim Vanhamme, Davy Preuveneers, Wouter Joosen

    Published 2022-09-01
    “…One of the challenges when using SNNs is the discriminative training of the network since it is not straightforward to apply the well‐known error backpropagation (EBP), massively used in traditional artificial neural networks (ANNs). A network structure based on neuron columns is proposed, resembling cortical columns in the human cortex, and a new derivation of error backpropagation for the spiking neural networks that integrate the lateral inhibition in these structures. …”
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  16. 1196

    Synchronization in Array of Coupled Neural Networks with Unbounded Distributed Delay and Limited Transmission Efficiency by Xinsong Yang, Mengzhe Zhou, Jinde Cao

    Published 2013-01-01
    “…This paper investigates global synchronization in an array of coupled neural networks with time-varying delays and unbounded distributed delays. …”
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  17. 1197

    Think about the new normality post COVID 19 with new ways and styles of life by Lian Roque Roque, Blanca Rosa Garcés Garcés, Itala del Rosario Díaz Suárez

    Published 2020-11-01
    “…In this situation, a change is imposed in the ways and styles of life, even in the phase of the so-called new normality. The purpose of this work is to reflect, based on the approach of social studies, on the influence of modes, styles of action and life, for a better social confrontation in the named stage of facing the disease. …”
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  18. 1198

    Concise Neural Nonaffine Control of Air-Breathing Hypersonic Vehicles Subject to Parametric Uncertainties by Xiangwei Bu, Qiong Wang, Yan Zhao, Guangjun He

    Published 2017-01-01
    “…In this paper, a novel simplified neural control strategy is proposed for the longitudinal dynamics of an air-breathing hypersonic vehicle (AHV) directly using nonaffine models instead of affine ones. …”
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  19. 1199
  20. 1200

    A 5-Year Retrospective Review of Fungal Keratitis at Hospital Universiti Sains Malaysia by Fadzillah Mohd-Tahir, A. Norhayati, Ishak Siti-Raihan, M. Ibrahim

    Published 2012-01-01
    “…The percentage of positive fungal isolated has steadily increased and the trend of common fungal isolated has changed. …”
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