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Akademický článek

SatDetX-YOLO: A More Accurate Method for Vehicle Target Detection in Satellite Remote Sensing Imagery

Autor: Chenao Zhao, Dudu Guo, Chunfu Shao, Ke Zhao, Miao Sun, Hongbo Shuai

Publikováno v: IEEE Access, Vol 12, Pp 46024-46041 (2024)

Satellite remote sensing technology significantly contributes to intelligent transportation by optimizing traffic planning via global perspectives and rich data, enhancing traffic efficiency and reducing environmental impact. However, current target

Externí odkaz: https://doaj.org/article/3d548c0676384a7ea392a14899a0c042

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Akademický článek

Multi-Target Vehicle Tracking Algorithm Based on Improved DeepSORT

Autor: Dudu Guo, Zhuzhou Li, Hongbo Shuai, Fei Zhou

Publikováno v: Sensors, Vol 24, Iss 21, p 7014 (2024)

In this paper, we address the issues of insufficient accuracy and frequent identity switching in the multi-target tracking algorithm DeepSORT by proposing two improvement strategies. First, we optimize the appearance feature extraction process by tra

Externí odkaz: https://doaj.org/article/df5f649afb494d808033df0b6b14c9b8

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Akademický článek

Logistics Transportation Vehicle Supply Forecasting Based on Improved Informer Modeling

Autor: Dudu Guo, Peifan Jiang, Yin Qin, Xue Zhang, Jinquan Zhang

Publikováno v: Applied Sciences, Vol 14, Iss 18, p 8162 (2024)

This study focuses on the problem of the supply prediction of logistics transportation vehicles in road transportation. Aiming at the problem that the supply data of logistics transportation has the characteristics of long sequential data, numerous i

Externí odkaz: https://doaj.org/article/3c190e1ed557407e87e572ade770d50b

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Akademický článek

Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-BiLSTM)-Attention-Based Prediction of the Amount of Silica Powder Moving in and out of a Warehouse

Autor: Dudu Guo, Pengbin Duan, Zhen Yang, Xiaojiang Zhang, Yinuo Su

Publikováno v: Energies, Vol 17, Iss 15, p 3757 (2024)

Raw material inventory control is indispensable for ensuring the cost reduction and efficiency of enterprises. Silica powder is an essential raw material for new energy enterprises. The inventory control of silicon powder is of great concern to enter

Externí odkaz: https://doaj.org/article/fbb16700282e43deadda1c3a455308ea

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Akademický článek

Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM

Autor: Ke Zhao, Dudu Guo, Miao Sun, Chenao Zhao, Hongbo Shuai

Publikováno v: IEEE Access, Vol 11, Pp 97072-97088 (2023)

To improve the accuracy of short term traffic flow prediction and to solve the problems of nonlinearity of short term traffic flow, more noise in the data, and more difficult to determine the parametes of long short term memory networks, a combined t

Externí odkaz: https://doaj.org/article/2cc244595c944df192a51d5e4cc8fffb

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