Results 11 to 20 of about 24,705,727 (296)

Managing uncertain spatio-temporal data [PDF]

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011
Many spatial query problems defined on uncertain data are computationally expensive, in particular, if in addition to spatial attributes, a time component is added. Although there exists a wide range of applications dealing with uncertain spatio-temporal data, there is no solution for efficient management of such data available yet.
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle, Lei Chen 0002, Xiang Lian 0001, Nikos Mamoulis   +6 more
openaire   +4 more sources

Identification of Dynamical Models of Spatio-temporal Pattern Formation with Applications to Slime Mould [PDF]

, 2011
Spatio-temporal systems are non-linear dynamical systems which include both time and space information. Many natural phenomena and processes can be described by spatio-temporal models, such as pattern formation, chemical reactions and physical dynamics ...
Wang, Shu
core   +6 more sources

Spatio-temporal epidemiology of Campylobacter jejuni enteritis, in an area of Northwest England, 2000-2002 [PDF]

, 2010
A total of 969 isolates of Campylobacter jejuni originating in the Preston, Lancashire postcode district over a 3-year period were characterized using multi-locus sequence typing.
Wilson, Daniel, Gee, S., Cheesbrough, J., Bolton, E., Fearnhead, P., Hart, C. A., Leatherbarrow, A. J. H., Gabriel, E., Fox, A., Diggle, P. J.   +9 more
core   +5 more sources

Spatiotemporal evolution and multi-scenario prediction of habitat quality in the Yellow River Basin

Frontiers in Ecology and Evolution, 2023
IntroductionThe Yellow River Basin (YRB) is not only a vital area for maintaining ecological security but also a key area for China’s economic and social development.
Yanglong Chen, Yanglong Chen, Yanglong Chen, Yanglong Chen, Zhilin He, Zhilin He, Zhilin He, Zhilin He, Tianming Yue, Tianming Yue, Tianming Yue, Tianming Yue, Weichen Mu, Weichen Mu, Weichen Mu, Weichen Mu, Fen Qin, Fen Qin, Fen Qin, Fen Qin   +19 more
doaj   +1 more source

PMLIO: PANORAMIC TIGHTLY-COUPLED MULTI-LIDAR-INERTIAL ODOMETRY AND MAPPING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The limited field of view (FoV) of single LiDAR poses challenges for robots to achieve comprehensive environmental perception. Incorporating multiple LiDAR sensors can effectively broaden the FoV of robots, providing abundant measurements to facilitate ...
Y. Xu, Y. Xu, Y. Xu, C. Chen, C. Chen, C. Chen, Z. Wang, Z. Wang, Z. Wang, B. Yang, B. Yang, B. Yang, W. Wu, W. Wu, W. Wu, L. Li, J. Wu, J. Wu, J. Wu, L. Zhao, L. Zhao, L. Zhao   +21 more
doaj   +1 more source

A multi-angle comprehensive solution based on deep learning to extract cultivated land information from high-resolution remote sensing images

Ecological Indicators, 2022
Accurate acquisition of cultivated land area and location information is of great significance to agricultural management, agro-ecological environment monitoring, and national food security.
Zhenzhen Liu, Ning Li, Lijun Wang, Jun Zhu, Fen Qin   +4 more
doaj   +1 more source

Effect of Population Migration and Socioeconomic Factors on the COVID-19 Epidemic at County Level in Guangdong, China

Frontiers in Environmental Science, 2022
Coronavirus disease 2019 (COVID-19) has become a major public health concern worldwide. In this study, we aimed to analyze spatial clusters of the COVID-19 epidemic and explore the effects of population emigration and socioeconomic factors on the ...
Jianhui Xu, Yingbin Deng, Ji Yang, Wumeng Huang, Yingwei Yan, Yingwei Yan, Yichun Xie, Yong Li, Wenlong Jing   +8 more
doaj   +1 more source

Spatio-Temporal Crop Classification On Volumetric Data [PDF]

2021 IEEE International Conference on Image Processing (ICIP), 2021
Large-area crop classification using multi-spectral imagery is a widely studied problem for several decades and is generally addressed using classical Random Forest classifier. Recently, deep convolutional neural networks (DCNN) have been proposed. However, these methods only achieved results comparable with Random Forest.
Muhammad Usman Qadeer, Salar Saeed, Murtaza Taj, Abubakr Muhammad   +3 more
openaire   +3 more sources

Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification

Crop Journal, 2022
High-resolution deep-learning-based remote-sensing imagery analysis has been widely used in land-use and crop-classification mapping. However, the influence of composite feature bands, including complex feature indices arising from different sensors on ...
Lijun Wang, Jiayao Wang, Zhenzhen Liu, Jun Zhu, Fen Qin   +4 more
doaj   +1 more source

Querying Uncertain Spatio-Temporal Data [PDF]

2012 IEEE 28th International Conference on Data Engineering, 2012
The problem of modeling and managing uncertain data has received a great deal of interest, due to its manifold applications in spatial, temporal, multimedia and sensor databases. There exists a wide range of work covering spatial uncertainty in the static (snapshot) case, where only one point of time is considered.
Emrich, T, Kriegel, HP, Renz, M, Zuefle, A, Mamoulis, N   +4 more
openaire   +3 more sources