Results 21 to 30 of about 1,727,853 (256)
Self-Attention ConvLSTM for Spatiotemporal Prediction
, 2020 Spatiotemporal prediction is challenging due to the complex dynamic motion and appearance changes. Existing work concentrates on embedding additional cells into the standard ConvLSTM to memorize spatial appearances during the prediction.
Lin, Zhihui +4 more
core +1 more source
Shear-Wave Velocity Prediction Method via a Gate Recurrent Unit Fusion Network Based on the Spatiotemporal Attention Mechanism [PDF]
, 2022 Compression-wave velocity and shear-wave velocity are important elastic parameters describing deeply tight sandstone. Limited by cost and technical reasons, the conventional logging data generally lack shear-wave velocity.
Yonggen Li +6 more
core +1 more source
Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network
, 2023 Runoff prediction plays an important role in the construction of intelligent hydraulic engineering. Most of the existing deep learning runoff prediction models use recurrent neural networks for single-step prediction of a single time series, which mainly
Shuai Yang, Yueqin Zhang, Zehua Zhang
core +1 more source
Spatiotemporal data partitioning for distributed random forest algorithm:Air quality prediction using imbalanced big spatiotemporal data on spark distributed framework [PDF]
, 2022 Spatiotemporal air quality datasets are typically collected hourly in monitoring stations deployed non-uniformly across a metropolitan city. These datasets are not only big, which poses challenges on the storage and processing capacity of centralized ...
Yang, Wanhong +5 more
core +1 more source
ISPRS International Journal of Geo-InformationPredicting the distribution of people in the time window approaching a disaster is crucial for post-disaster assistance activities and can be useful for evacuation route selection and shelter planning.
Xianzhou Cheng +2 more
doaj +1 more source
Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning
ISPRS International Journal of Geo-InformationTraffic flow prediction is one of the most important and attractive topics in geographical information science (GIS), traffic management, and logistics.
Siteng Cai +5 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2017 Short-term traffic flow forecasting is a difficult yet important problem in intelligent transportation systems. Complex spatiotemporal interactions between the target road segment and other road segments can provide important information for the accurate
Xiaobo Chen +5 more
doaj +1 more source
Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction [PDF]
, 2013 Trajectory prediction is widespread in mobile computing, and helps support wireless network operation, location-based services, and applications in pervasive computing.
Chan, Addison, Li, Frederick W.B.
core +1 more source
Prediction of Suspect Location Based on Spatiotemporal Semantics
ISPRS International Journal of Geo-Information, 2017 The prediction of suspect location enables proactive experiences for crime investigations and offers essential intelligence for crime prevention. However, existing studies have failed to capture the complex social location transition patterns of suspects
Lian Duan, Xinyue Ye, Tao Hu, Xinyan Zhu
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source