A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis by Yong Bie, Yan Yang

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Indonesian Sign Language Image Detection Using Convolutional Neural Network (CNN) Method by Andreas Nugroho Sihananto, Erista Maya Safitri, Yoga Maulana, Fikri Fakhruddin, Mochammad Ervinda Yudistira

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Hopf Bifurcation Analysis for a Four-Dimensional Recurrent Neural Network with Two Delays by Zizhen Zhang, Huizhong Yang

“…A four-dimensional recurrent neural network with two delays is considered. The main result is given in terms of local stability and Hopf bifurcation. …”
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An Audit Risk Model Based on Improved BP Neural Network Data Mining Algorithm by Wenjia Niu, Lihua Zhao, Peiyao Jia, Jiankun Chu

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Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

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A Deep Graph-Embedded LSTM Neural Network Approach for Airport Delay Prediction by Weili Zeng, Juan Li, Zhibin Quan, Xiaobo Lu

“…Due to the strong propagation causality of delays between airports, this paper proposes a delay prediction model based on a deep graph neural network to study delay prediction from the perspective of an airport network. …”
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Retracted: Construction of Online Teaching Mode of College Sports Based on Neural Network Technology by International Transactions on Electrical Energy Systems

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Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks by Federico Nuñez-Piña, Joselito Medina-Marin, Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Eva Selene Hernandez-Gress

“…Moreover, the artificial neural network produces better predictions for data not utilized in the models construction. …”
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Application of convolutional neural networks trained on optical images for object detection in radar images by V.A. Pavlov, A.A. Belov, S.V. Volvenko, A.V. Rashich

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Global Robust Exponential Dissipativity for Interval Recurrent Neural Networks with Infinity Distributed Delays by Xiaohong Wang, Huan Qi

“…This paper is concerned with the robust dissipativity problem for interval recurrent neural networks (IRNNs) with general activation functions, and continuous time-varying delay, and infinity distributed time delay. …”
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Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks by Tatjana Gligorijević, Zoran Ševarac, Branislav Milovanović, Vlado Đajić, Marija Zdravković, Saša Hinić, Marina Arsić, Milica Aleksić

“…Artificial neural networks (ANNs) are machine learning technique, inspired by the principles found in biological neurons. …”
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Retracted: Parameter-Tunable RBF Neural Network Control Facing Dual-Joint Manipulators by Journal of Robotics

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A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…Results In this study, we propose GDEC, a multi-task generative deep neural network designed for precise digestive tract cancer subtyping. …”
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Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks by Van Truong Vo, Samad Noeiaghdam, Denis Sidorov, Aliona Dreglea, Liguo Wang

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Damage Identification for Large Span Structure Based on Multiscale Inputs to Artificial Neural Networks by Wei Lu, Jun Teng, Yan Cui

“…A methodology to combine the local and global measurements in noisy environments based on artificial neural network is proposed in this paper. For a real large span structure, the capacity of the methodology is validated, including the decision on damage placement, the discussions on the number of the sensors, and the optimal parameters for artificial neural networks. …”
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MagNet: Automated Magnetic Mineral Grain Morphometry Using Convolutional Neural Network by Zhaowen Pei, Liao Chang, Pengfei Xue, Richard J. Harrison

“…This framework, based on a convolutional neural network, performs well in the recognition and classification of magnetofossil nanoparticles in transmission electron microscopy images after training and testing. …”
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Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks by Min Wan, Mou Chen, Kun Yan

“…The uncertainty term of the system is handled by the inherent approximation ability of the neural network. The sliding model control scheme under the backstepping frame is developed for tackling disturbances. …”
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Classification of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach by Yanwei Zhang, Stephen S. Gao

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Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays by Yingxin Guo, Mingzhi Xue

“…Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. …”
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AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks by Fu Chen, Yepeng Guan

Subjects: “…Neural network…”
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