Results 21 to 30 of about 3,246,502 (304)

Spatiotemporal Patterns and Predictability of Cyberattacks

PLOS ONE, 2015
A relatively unexplored issue in cybersecurity science and engineering is whether there exist intrinsic patterns of cyberattacks. Conventional wisdom favors absence of such patterns due to the overwhelming complexity of the modern cyberspace. Surprisingly, through a detailed analysis of an extensive data set that records the time-dependent frequencies ...
Chen, Y Z, Huang, Z G, Xu, S, Lai, Ying-Cheng   +3 more
openaire   +6 more sources

Seven-day sea surface temperature prediction using a 3DConv-LSTM model

Frontiers in Marine Science, 2022
Due to the application demand, users have higher expectations for the accuracy and resolution of sea surface temperature (SST) products. Recent advances in deep learning show great advantages in exploiting massive ocean datasets, and provides ...
Li Wei, Lei Guan, Lei Guan, Lei Guan
doaj   +1 more source

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction [PDF]

SIGSPATIAL/GIS
Spatiotemporal prediction plays a critical role in numerous real-world applications such as urban planning, transportation optimization, disaster response, and pandemic control.
Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang   +7 more
semanticscholar   +1 more source

Spatiotemporal Prediction of Alpine Vegetation Dynamic Change Based on a ConvGRU Neural Network Model: A Case Study of the Upper Heihe River Basin in Northwest China

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Accurate and comprehensive vegetation prediction methods are essential for effective agricultural planning and budgeting. Most existing vegetation prediction methods rely on sampling points rather than on overall spatiotemporal characteristics, making it
Lifeng Zhang, Haowen Yan, Yi He, Sheng Yao, Shengpeng Cao, Qiang Sun   +5 more
doaj   +1 more source

Spatiotemporal prediction of microstructure evolution with predictive recurrent neural network

Computational materials science, 2023
Prediction of microstructure evolution during material processing is essential to control the material properties. Simulation tools for microstructure evolution prediction based on physical concepts are computationally expensive and time-consuming ...
Amir Abbas Kazemzadeh Farizhandi, Mahmood Mamivand   +1 more
semanticscholar   +1 more source

Traffic Congestion Prediction by Spatiotemporal Propagation Patterns [PDF]

2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019
Accurate prediction of traffic congestion at the granularity of road segment is important for planning travel routes and optimizing traffic control in urban areas. Previous works often calculated only the average congestion levels of a large region covering many road segments and did not take into account spatial correlation between road segments ...
Xiaolei Di, Yu Xiao 0001, Chao Zhu 0002, Yang Deng, Qinpei Zhao, Weixiong Rao   +5 more
openaire   +2 more sources

Power Prediction of Photovoltaic Clusters Based on Spatio-Temporal Feature Extraction and Cross-Modal Fusion [PDF]

Dianli jianshe
[Objective] Photovoltaic （PV） power forecasting is a critical component of grid-connected PV dispatch and optimization. However， existing forecasting methods inadequately capture the spatial correlations between power plants， particularly in scenarios ...
WANG Jian, LIU Huiyuan, ZHANG Zhanxi, SHEN Fu, WANG Kaizheng, CAI Zilong
doaj   +1 more source

Spatiotemporal Prediction of Ionospheric Total Electron Content Based on ED-ConvLSTM

Remote Sensing, 2023
Total electron content (TEC) is a vital parameter for describing the state of the ionosphere, and precise prediction of TEC is of great significance for improving the accuracy of the Global Navigation Satellite System (GNSS).
Liangchao Li, Haijun Liu, H. Le, Jing Yuan, Weifeng Shan, Ying Han, Guoming Yuan, Chunjie Cui, Junling Wang   +8 more
semanticscholar   +1 more source

An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations [PDF]

International Journal of Environmental Research and Public Health, 2017
Although fine particulate matter with a diameter of <2.5 μm (PM2.5) has a greater negative impact on human health than particulate matter with a diameter of <10 μm (PM10), measurements of PM2.5 have only recently been performed, and the spatial coverage of these measurements is limited.
Li, Lianfa, Zhang, Jiehao, Qiu, Wenyang, Wang, Jinfeng, Fang, Ying   +4 more
openaire   +2 more sources

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction [PDF]

IEEE Robotics and Automation Letters, 2020
Reasoning over visual data is a desirable capability for robotics and vision-based applications. Such reasoning enables forecasting of the next events or actions in videos. In recent years, various models have been developed based on convolution operations for prediction or forecasting, but they lack the ability to reason over spatiotemporal data and ...
Bingbin Liu, Ehsan Adeli 0001, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles   +6 more
openaire   +2 more sources