DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS by Jianzhou Cui

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CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network by Guojie Liu, Jianbiao Zhang

“…In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and the algorithm is optimized. …”
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State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays by Jing Liang, Zengshun Chen, Qiankun Song

“…The state estimation problem is investigated for neural networks with leakage delay and time-varying delay as well as for general activation functions. …”
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An efficient loop tiling framework for convolutional neural network inference accelerators by Hongmin Huang, Xianghong Hu, Xueming Li, Xiaoming Xiong

“…Abstract Convolutional neural networks (CNNs) have been widely applied in the field of computer vision due to their inherent advantages in image feature extraction. …”
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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

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Steel surface defect detection and segmentation using deep neural networks by Sara Ashrafi, Sobhan Teymouri, Sepideh Etaati, Javad Khoramdel, Yasamin Borhani, Esmaeil Najafi

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Architecture design of re-configurable convolutional neural network on software definition by Peijie LI, Li ZHANG, Yunfei XIA, Liming XU

Subjects: “…convolutional neural network…”
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Deep convolutional neural networks for double compressed AMR audio detection by Aykut Büker, Cemal Hanilçi

“…Here, the authors propose to use convolutional neural networks (CNN) for DC AMR audio detection. The CNN is used as (i) an end‐to‐end DC AMR audio detection system and (ii) a feature extractor. …”
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Comparison of the efficiency of zero and first order minimization methods in neural networks by E. A. Gubareva, S. I. Khashin, E. S. Shemyakova

Subjects: “…neural networks…”
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Study on Early Warning of Karst Collapse Based on the BP Neural Network by Dongqin Chen

“…The stress of the sliding surface is fitted according to the spatial stress relationship of the deep karst layer through the improved BP neural network PID control algorithm and BP neural network algorithm, which avoids the modeling and mesh generation of the complex sliding block and has good accuracy and ease of use. …”
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Stepped annealing chaotic neural network model for the channel assignment problem by ZHU Xiao-jin, CHEN Yan-chun, SHAO Yong, WANG Jian

Subjects: “…chaotic neural network…”
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Modern Art Interactive Design Relying on Neural Network Intelligent Algorithms by Yanan Guo

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Study on the Fault Diagnosis of Generator Unit based on WPD-Neural Network by Liu Zhigang, Zhao Xiaoyan, Zhang Tao, Ao Baolin, Li Simin, Dang Qiqian

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Traveling Waves for Delayed Cellular Neural Networks with Nonmonotonic Output Functions by Zhi-Xian Yu, Rong Yuan, Cheng-Hsiung Hsu, Ming-Shu Peng

“…This work investigates traveling waves for a class of delayed cellular neural networks with nonmonotonic output functions on the one-dimensional integer lattice Z. …”
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Neural network inspired efficient scalable task scheduling for cloud infrastructure by Punit Gupta, Arnaav Anand, Pratyush Agarwal, Gavin McArdle

“…In this work, we aim to use the Harmony Search Algorithm and neural networks to create a fault aware system for optimal usage of cloud resources. …”
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Forecast and Evaluation of Educational Economic Contribution Based on Fuzzy Neural Network by RuiFeng Liu, Min Wu

“…This article combines fuzzy theory and neural network theory to construct an empirical model for the analysis of the contribution of education economy and conduct an empirical analysis of statistical data from 2010 to 2020. …”
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Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network by Lei He, Suqi Liu, Ting Jiang, Zhijie Huang

“…The extracted feature values are used as the input of the BP neural network. The fault type of the gearbox is identified based on the output result. …”
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Application of Neural Network and Virtual Reality Technology in Digital Video Effects by Liao Jiang

“…Applying the neural network and virtual reality technology can improve the quality and efficiency of digital video special effects production.…”
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Dual-Targeted adversarial example in evasion attack on graph neural networks by Hyun Kwon, Dae-Jin Kim

Subjects: “…Graph neural network…”
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DWNet: Dual-Window Deep Neural Network for Time Series Prediction by Jin Fan, Yipan Huang, Ke Zhang, Sen Wang, Jinhua Chen, Baiping Chen

“…In this paper, we propose a dual-window deep neural network (DWNet) to predict time series. The dual-window mechanism allows the model to mine multigranularity dependencies of time series, such as local information obtained from a short sequence and global information obtained from a long sequence. …”
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