465 related articles for article (PubMed ID: 35684681)
1. Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks.
Mahjoub S; Chrifi-Alaoui L; Marhic B; Delahoche L
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684681
[TBL] [Abstract][Full Text] [Related]
2. Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series.
Shaikh AK; Nazir A; Khan I; Shah AS
Sci Rep; 2022 Dec; 12(1):22562. PubMed ID: 36581655
[TBL] [Abstract][Full Text] [Related]
3. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO
Chen X; Yang L; Xue H; Li L; Yu Y
Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38203104
[TBL] [Abstract][Full Text] [Related]
8. An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model.
Lv J; Wang C; Gao W; Zhao Q
Comput Intell Neurosci; 2021; 2021():8128879. PubMed ID: 34621309
[TBL] [Abstract][Full Text] [Related]
9. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
Jin W; Dong S; Yu C; Luo Q
Comput Biol Med; 2022 Jul; 146():105560. PubMed ID: 35551008
[TBL] [Abstract][Full Text] [Related]
10. A novel recurrent neural network approach in forecasting short term solar irradiance.
Jaihuni M; Basak JK; Khan F; Okyere FG; Sihalath T; Bhujel A; Park J; Lee DH; Kim HT
ISA Trans; 2022 Feb; 121():63-74. PubMed ID: 33840460
[TBL] [Abstract][Full Text] [Related]
11. Prediction of Head Movement in 360-Degree Videos Using Attention Model.
Lee D; Choi M; Lee J
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34070560
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Air quality index forecast in Beijing based on CNN-LSTM multi-model.
Zhang J; Li S
Chemosphere; 2022 Dec; 308(Pt 1):136180. PubMed ID: 36058367
[TBL] [Abstract][Full Text] [Related]
14. Predicting respiratory motion using a novel patient specific dual deep recurrent neural networks.
Yoganathan SA; Paloor S; Torfeh T; Aouadi S; Hammoud R; Al-Hammadi N
Biomed Phys Eng Express; 2022 Sep; 8(6):. PubMed ID: 36130525
[TBL] [Abstract][Full Text] [Related]
15. Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning.
Ahmed S; Mubarak S; Du JT; Wibowo S
Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554676
[TBL] [Abstract][Full Text] [Related]
16. Comparative study of machine learning methods for COVID-19 transmission forecasting.
Dairi A; Harrou F; Zeroual A; Hittawe MM; Sun Y
J Biomed Inform; 2021 Jun; 118():103791. PubMed ID: 33915272
[TBL] [Abstract][Full Text] [Related]
17. Forecasting stock prices with long-short term memory neural network based on attention mechanism.
Qiu J; Wang B; Zhou C
PLoS One; 2020; 15(1):e0227222. PubMed ID: 31899770
[TBL] [Abstract][Full Text] [Related]
18. An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting
Jung S; Moon J; Park S; Hwang E
Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33652726
[TBL] [Abstract][Full Text] [Related]
19. Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas.
Zafar N; Haq IU; Chughtai JU; Shafiq O
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591037
[TBL] [Abstract][Full Text] [Related]
20. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM.
Shahid F; Zameer A; Muneeb M
Chaos Solitons Fractals; 2020 Nov; 140():110212. PubMed ID: 32839642
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]