170 related articles for article (PubMed ID: 35161806)
1. Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning.
Mehdizadeh Dastjerdi A; Morency C
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161806
[TBL] [Abstract][Full Text] [Related]
2. FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction.
Yang D; Wu R; Wang P; Li Y
PLoS One; 2024; 19(3):e0298684. PubMed ID: 38451911
[TBL] [Abstract][Full Text] [Related]
3. Should bike-sharing continue operating during the COVID-19 pandemic? Empirical findings from Nanjing, China.
Hua M; Chen X; Cheng L; Chen J
J Transp Health; 2021 Dec; 23():101264. PubMed ID: 34603960
[TBL] [Abstract][Full Text] [Related]
4. A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining.
Zhou S; Song C; Wang T; Pan X; Chang W; Yang L
Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141079
[TBL] [Abstract][Full Text] [Related]
5. Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects.
Kim TS; Lee WK; Sohn SY
PLoS One; 2019; 14(9):e0220782. PubMed ID: 31525227
[TBL] [Abstract][Full Text] [Related]
6. Demand Prediction and Optimal Allocation of Shared Bikes Around Urban Rail Transit Stations.
Yu L; Feng T; Li T; Cheng L
Urban Rail Transit; 2023; 9(1):57-71. PubMed ID: 36531437
[TBL] [Abstract][Full Text] [Related]
7. When crisis hits: Bike-Sharing platforms amid the Covid-19 pandemic.
Basak E; Al Balawi R; Fatemi S; Tafti A
PLoS One; 2023; 18(4):e0283603. PubMed ID: 37027351
[TBL] [Abstract][Full Text] [Related]
8. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
9. Forecasting COVID-19 new cases using deep learning methods.
Xu L; Magar R; Barati Farimani A
Comput Biol Med; 2022 May; 144():105342. PubMed ID: 35247764
[TBL] [Abstract][Full Text] [Related]
10. Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach.
Alamrouni A; Aslanova F; Mati S; Maccido HS; Jibril AA; Usman AG; Abba SI
Int J Environ Res Public Health; 2022 Jan; 19(2):. PubMed ID: 35055559
[TBL] [Abstract][Full Text] [Related]
11. Bike sharing usage prediction with deep learning: a survey.
Jiang W
Neural Comput Appl; 2022; 34(18):15369-15385. PubMed ID: 35702665
[TBL] [Abstract][Full Text] [Related]
12. A City Shared Bike Dispatch Approach Based on Temporal Graph Convolutional Network and Genetic Algorithm.
Ma J; Zheng S; Lin S; Cheng Y
Biomimetics (Basel); 2024 Jun; 9(6):. PubMed ID: 38921248
[TBL] [Abstract][Full Text] [Related]
13. An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic.
Jiao F; Huang L; Song R; Huang H
Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502841
[TBL] [Abstract][Full Text] [Related]
14. Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London.
Heydari S; Konstantinoudis G; Behsoodi AW
PLoS One; 2021; 16(12):e0260969. PubMed ID: 34855914
[TBL] [Abstract][Full Text] [Related]
15. Excess demand prediction for bike sharing systems.
Liu X; Pelechrinis K
PLoS One; 2021; 16(6):e0252894. PubMed ID: 34138884
[TBL] [Abstract][Full Text] [Related]
16. A Demand-Centric Repositioning Strategy for Bike-Sharing Systems.
Lin YC
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898081
[TBL] [Abstract][Full Text] [Related]
17. Investigation on changes in the usage patterns of Seoul Bike usage patterns owing to COVID-19 according to pass type.
Jung J; Kim K
Heliyon; 2023 May; 9(5):e16077. PubMed ID: 37192843
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.
Choi YA; Park SJ; Jun JA; Pyo CS; Cho KH; Lee HS; Yu JH
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34206540
[TBL] [Abstract][Full Text] [Related]
19. A novel predict-then-optimize method for sustainable bike-sharing management: a data-driven study in China.
Zhou Y; Li Q; Yue X; Nie J; Guo Q
Ann Oper Res; 2022 Sep; ():1-33. PubMed ID: 36157978
[TBL] [Abstract][Full Text] [Related]
20. Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic.
Chen S; Paul R; Janies D; Murphy K; Feng T; Thill JC
Front Public Health; 2021; 9():661615. PubMed ID: 34291025
[No Abstract] [Full Text] [Related]
[Next] [New Search]