148 related articles for article (PubMed ID: 35143339)
1. DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment.
Gurusamy R; Seenivasan SR
Big Data; 2022 Feb; ():. PubMed ID: 35143339
[TBL] [Abstract][Full Text] [Related]
2. Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems.
Sagheer A; Kotb M
Sci Rep; 2019 Dec; 9(1):19038. PubMed ID: 31836728
[TBL] [Abstract][Full Text] [Related]
3. Traffic flow prediction using bi-directional gated recurrent unit method.
Wang S; Shao C; Zhang J; Zheng Y; Meng M
Urban Inform; 2022; 1(1):16. PubMed ID: 36471871
[TBL] [Abstract][Full Text] [Related]
4. Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks.
Zhang S; Yao Y; Hu J; Zhao Y; Li S; Hu J
Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31091802
[TBL] [Abstract][Full Text] [Related]
5. Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach.
Yang HF; Dillon TS; Chen YP
IEEE Trans Neural Netw Learn Syst; 2017 Oct; 28(10):2371-2381. PubMed ID: 27448371
[TBL] [Abstract][Full Text] [Related]
6. Developing a multivariate time series forecasting framework based on stacked autoencoders and multi-phase feature.
Kumar Sharma D; Prakash Varshney R; Agarwal S; Ali Alhussan A; Abdallah HA
Heliyon; 2024 Apr; 10(7):e27860. PubMed ID: 38689959
[TBL] [Abstract][Full Text] [Related]
7. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir.
Yang B; Xiao T; Wang L; Huang W
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214220
[TBL] [Abstract][Full Text] [Related]
8. Photovoltaic power prediction based on dilated causal convolutional network and stacked LSTM.
Tian C; Lin L; Yan Y; Wang R; Wang F; Chi Q
Math Biosci Eng; 2024 Jan; 21(1):1167-1185. PubMed ID: 38303459
[TBL] [Abstract][Full Text] [Related]
9. Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions.
Han S; Meng Z; Zhang X; Yan Y
Micromachines (Basel); 2021 Feb; 12(2):. PubMed ID: 33672478
[TBL] [Abstract][Full Text] [Related]
10. Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks.
Yu H; Wu Z; Wang S; Wang Y; Ma X
Sensors (Basel); 2017 Jun; 17(7):. PubMed ID: 28672867
[TBL] [Abstract][Full Text] [Related]
11. Forecasting COVID-19 Pandemic Using Prophet, ARIMA, and Hybrid Stacked LSTM-GRU Models in India.
Sah S; Surendiran B; Dhanalakshmi R; Mohanty SN; Alenezi F; Polat K
Comput Math Methods Med; 2022; 2022():1556025. PubMed ID: 35529266
[TBL] [Abstract][Full Text] [Related]
12. A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.
Latifoğlu L
Environ Sci Pollut Res Int; 2022 Jun; 29(28):42899-42912. PubMed ID: 35092586
[TBL] [Abstract][Full Text] [Related]
13. Predicting machine's performance record using the stacked long short-term memory (LSTM) neural networks.
Ma M; Liu C; Wei R; Liang B; Dai J
J Appl Clin Med Phys; 2022 Mar; 23(3):e13558. PubMed ID: 35170838
[TBL] [Abstract][Full Text] [Related]
14. Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.
Chui KT; Gupta BB; Liu RW; Zhang X; Vasant P; Thomas JJ
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640732
[TBL] [Abstract][Full Text] [Related]
15. A noise-immune LSTM network for short-term traffic flow forecasting.
Cai L; Lei M; Zhang S; Yu Y; Zhou T; Qin J
Chaos; 2020 Feb; 30(2):023135. PubMed ID: 32113252
[TBL] [Abstract][Full Text] [Related]
16. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.
Ma X; Dai Z; He Z; Ma J; Wang Y; Wang Y
Sensors (Basel); 2017 Apr; 17(4):. PubMed ID: 28394270
[TBL] [Abstract][Full Text] [Related]
17. An AutoEncoder and LSTM-Based Traffic Flow Prediction Method.
Wei W; Wu H; Ma H
Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31277390
[TBL] [Abstract][Full Text] [Related]
18. Fuzzy Inspired Deep Belief Network for the Traffic Flow Prediction in Intelligent Transportation System Using Flow Strength Indicators.
George S; Santra AK
Big Data; 2020 Aug; 8(4):291-307. PubMed ID: 32633544
[TBL] [Abstract][Full Text] [Related]
19. GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow.
Cai B; Wang Y; Huang C; Liu J; Teng W
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433477
[TBL] [Abstract][Full Text] [Related]
20. A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures.
Nguyen TK; Ahmad Z; Kim JM
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833836
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]