Search Results - "Data filling"

A Spatio-Temporal Self-Attention Mechanism for Filling and Predicting Missing Values of High-Speed Traffic Flows

Lv, Bolong, Wan, Weiyang, Zhang, Lejia, Li, Qiuling, Sun, Ke, Wan, Qian

2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE)

Research on Combination Filling Method for Multi-Dimensional Traffic Accident Missing Data

Huang, Jiaoru, Wen, Xiaoping, Han, Junchi, Zhang, Xiaoyan

2024 4th International Conference on Computer Science and Blockchain (CCSB)

Missing Data Imputation With Contextual Granules and AI-driven Bankruptcy Prediction

Chakraborty, Debarati B., Ranjan, Ravi

2024 14th International Conference on Pattern Recognition Systems (ICPRS)

Multivariate Time Series Missing Value Filling Based on Trans-GAN Model

He, Pengfei, Dang, Jianwu, Yang, Jingyu, Yue, Biao

2023 3rd International Conference on Intelligent Communications and Computing (ICC)

A Data Filling Methodology for Time Series Based on CNN and (Bi)LSTM Neural Networks

Tzoumpas, K., Estrada, A., Miraglio, P., Zambelli, P.

Prediction of Stock Price Using Machine Learning Techniques

Jena, Swarna Prabha, Yadav, Ankit Kumar, Gupta, Dhiraj, Paikaray, Bijay Kumar

2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research on Stepwise Clustering and Fitting Method for Wind Power Based on Discrete Wavelet Transform

Zhang, Haijing, Yu, Hong, Wei, Lin, Wang, Yuxi, Wang, Peng, Zhang, Letian, Yang, Yang

2023 3rd Power System and Green Energy Conference (PSGEC)

KNN data filling method under incomplete fuzzy soft environments

Han, Yanyan, Ma, Xiuqin

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)

A BERT-based Model for Cloud Filling from Remote Sensing Data

Nguyen, Trong-Nghia, Van Le, Thanh

2022 9th NAFOSTED Conference on Information and Computer Science (NICS)

Research on Filling Method of Tidal Missing Data Based On Gated Recurrent Neural Network

Miao, Qingsheng, Zhang, Yansheng, Xu, Shanshan, Yang, Jinkun, Yang, Yang, Wei, Guanghao

2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)

A method for filling traffic data based on feature-based combination prediction model

Haicheng Xiao, Xueyan Shen, Jianglin Li, Xiujian Yang

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Two-dimensional DOA estimation algorithm based on empty holes data filling by using tensor modeling

Li, Hao, Quan, Mengjiao, Zhang, Jin, Yu, Zhenhua, Ba, Bin

2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)

A Deep-Convolution-Generative-Adversarial-Networks-based Missing Data Filling Method for Blast Furnace Gas System in Steel Industry

Yang, Canguang, Jin, Feng, Zhao, Jun, Wang, Wei

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor

Cui, C., Tang, J., Xia, H., Yu, W., Qiao, J.

Unscented Trainable Kalman Filter Based on Deep Learning Method Considering Incomplete Information

Yu, Y., Li, Q., Zhang, H.

NMMF-Stream: A Fast and Accurate Stream-Processing Scheme for Network Monitoring Data Recovery

Xie, Kun, Xie, Ruotian, Wang, Xin, Xie, Gaogang, Zhang, Dafang, Wen, Jigang

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Missing data filling based on the spectral analysis and the Long Short- Term Memory network

Wu, Jie, Li, Na, Zhao, Yan

2021 International Symposium on Computer Technology and Information Science (ISCTIS)

Research on Integrated Data Acquisition Method of wind Power Generation based on Deep Learning

Qu, Ming-Fei, Ma, Dong-Bao

2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)

Research on Power System State Estimation Technology Considering Data Filling Technology

Li, Kecheng, Zhang, Xinhe, Liu, Xiangxiang, He, Guixiong, Lu, Jie, Zhong, Ming

2020 IEEE Sustainable Power and Energy Conference (iSPEC)

Study on the data filling model for the turning motion of the training boat with missing observations

Gao, Xiaori, Liu, Xiaodong, Yan, Shujia, Yu, Jiagen, Yang, Linjia

2020 Chinese Automation Congress (CAC)