Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder by Hyun Kwon

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Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays by Yuanfu Shao, Changjin Xu, Qianhong Zhang

“…By using Schaeffer's theorem and Lyapunov functional, sufficient conditions of the existence and globally exponential stability of positive periodic solution to an impulsive neural network with time-varying delays are established. …”
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Forecasting Beijing Transportation Hub Areas’s Pedestrian Flow Using Modular Neural Network by Shuwei Wang, Ronggui Zhou, Lin Zhao

“…It was concluded that the accuracy of pedestrian flow forecasting model using modular neural network was higher than other neural network models. …”
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Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle by Ruijun Liu, Dapai Shi, Chao Ma

“…Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. …”
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Synchronization in Finite Time of Fuzzy Neural Networks with Hybrid Delays and Uncertain Nonlinear Perturbations by Shuyue Zhao, Kelin Li, Weiyi Hu

“…This paper deals with the finite-time synchronization problem of a class of fuzzy neural networks with hybrid delays and uncertain nonlinear perturbations. …”
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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

“…Using a pretrained model helps reduce the computational time to deploy an image classification model and uses a simple deep convolutional neural network for speech recognition. The applied method results in a higher speech recognition accuracy score—89.693% for the test dataset—than the conventional method, which reaches 89.325%. …”
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A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

Subjects: “…GA-BP neural network algorithm…”
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Centralized and Decentralized Data-Sampling Principles for Outer-Synchronization of Fractional-Order Neural Networks by Jin-E Zhang

“…This paper aims to investigate the outer-synchronization of fractional-order neural networks. Using centralized and decentralized data-sampling principles and the theory of fractional differential equations, sufficient criteria about outer-synchronization of the controlled fractional-order neural networks are derived for structure-dependent centralized data-sampling, state-dependent centralized data-sampling, and state-dependent decentralized data-sampling, respectively. …”
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Dynamic Response Law of Nonpersistent Jointed Rock Mass Under Normal Impact Load by Xianshi Deng, Yan Chang, Rong Hu, Heng Deng, Duofang Lu

“…Normal dynamic mechanical characteristics of the jointed rock mass are of great significance for studying the working state of rock mass with nonpersistent joint. …”
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Detection of Microdefects in Fabric with Multifarious Patterns and Colors Using Deep Convolutional Neural Network by Rongfei Xia, Yifei Chen, Yangfeng Ji

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Özel Yetenekli ve Normal Gelişim Gösteren Öğrencilerin 21. Yüzyıl Becerilerinin İncelenmesi by Oğuzhan Nacaroğlu

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Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture by H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan

“…DINN comprises two neural networks based on sparse and dense dimensions. …”
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Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay by Jingjing Zeng, Xujun Yang, Lu Wang, Xiaofeng Chen

“…The robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties and time delay are considered in this paper. …”
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An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics by Sen Tian, Jianhong Chen

“…This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. …”
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Expression of Neural Markers by Undifferentiated Mesenchymal-Like Stem Cells from Different Sources by Dana Foudah, Marianna Monfrini, Elisabetta Donzelli, Stefania Niada, Anna T. Brini, Monia Orciani, Giovanni Tredici, Mariarosaria Miloso

“…The spontaneous expression of neural markers, already demonstrated in bone marrow (BM) mesenchymal stem cells (MSCs), has been considered as evidence of the MSCs’ predisposition to differentiate toward neural lineages, supporting their use in stem cell-based therapy for neural repair. …”
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One Fungus = One Name: DNA and fungal nomenclature twenty years after PCR by J.W. Taylor

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Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors by Jesús Enrique Sierra, Matilde Santos

“…In this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles (UAV) dynamics. …”
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Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks by Al-Gburi Majid, Almssad Asaad, Al-Zuhairi Osamah Ibrahim

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Expression Pattern of a Homeotic Gene, HOXA5, in Normal Breast and in Breast Tumors by Gregory S. Henderson, Paul J. van Diest, Horst Burger, Jose Russo, Venu Raman

“…As homeotic genes play a pivotal role in development, we sought to decipher the expression pattern in both normal breast tissues and in breast carcinomas. Methods: RT-PCR and immunohistochemistry were performed, to assay the levels of HOXA5 expression, on a panel of normal breast tissue and its corresponding primary breast tumors. …”
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Exploring New Dimensions of Archives: Finding Audiovisually Similar Programmes with the Help of Neural Networks by Sara Veldhoen, Rana Klein, Mari Wigham, Roeland Ordelman, Teng Long, Nanne van Noord

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