Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost by Hongzhi Zhou, Gan Yu

“…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. …”
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Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation by Quentin Malé, Corentin J. Lapeyre, Nicolas Noiray

“…Our data-driven approach leverages a Convolutional Neural Network (CNN), trained to approximate filtered burning rates from emulated LES data. …”
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Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network by Wenjun Zhang, Zhengjiang Liu

“…A wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. …”
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Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…The model of the deep Bi-LSTM neural network can be used for other time-series fields such as signal recognition and action analysis.…”
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A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis by Yong Bie, Yan Yang

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Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…Image processing approaches, particularly the development of Convolutional Neural Networks (CNN), offer a solution for extracting information from the diverse and intricate patterns of Toraja wood carvings. …”
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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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A customized convolutional neural network-based approach for weeds identification in cotton crops by Hafiz Muhammad Faisal, Muhammad Aqib, Muhammad Aqib, Khalid Mahmood, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

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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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Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

Subjects: “…improved residual neural network…”
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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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Privacy-preserving convolutional neural network inference scheme based on homomorphic ciphertext transformation by LI Ruiqi, YI Qin, HUANG Yixuan, JIA Chunfu

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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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A two-level resolution neural network with enhanced interpretability for freeway traffic forecasting by Semin Kwak, Danya Li, Nikolas Geroliminis

Subjects: “…Two-level resolution neural network…”
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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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