Results 231 to 240 of about 32,837 (284)

MSGM: a multi-scale spatiotemporal graph Mamba for EEG emotion recognition. [PDF]

Front Neurosci
Liu H, Gong Y, Yan Z, Zhuang Z, Lu J.
europepmc   +1 more source

E-PTES-S: Enhanced Trust Evaluation via Multidimensional Spatiotemporal Fusion and Variance-Based Stability Sequence Extraction in IoT Sensing Networks. [PDF]

Sensors (Basel)
Liu J, Yao Y, Liu X, Chen J, Li S, Lin J.   +5 more
europepmc   +1 more source

Spatiotemporal modeling of regional short-term pertussis transmission risk using a propagation-enhanced prediction framework. [PDF]

Front Public Health
Zhang S, Zhu Y, Xu Y, Zhou Y, He H, Xiao Y.   +5 more
europepmc   +1 more source

A multi-dimensional feature aggregation network for electric vehicle charging demand prediction. [PDF]

Sci Rep
Yu Y, He L, Yu Z, Tu Y, Jing X, Luo W.
europepmc   +1 more source

A hybrid ST-ViT-driven multimodal architecture combining spatiotemporal MRI patterns and radiomic features for enhanced prediction of pCR in neoadjuvant breast cancer therapy. [PDF]

Biol Direct
Pattanayak S, Singh T, Kumar R, Naik GR.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images

Remote Sensing of Environment, 2022
Abstract Spatiotemporal image fusion is a potential way to resolve the constraint between the spatial and temporal resolutions of satellite images and has been developed rapidly in recent years. However, two key challenges related to fusion accuracy remain: a) reducing the uncertainty of image fusion caused by sensor differences and b) addressing ...
Wenzhong Shi, Dizhou Guo, Hua Zhang
exaly   +2 more sources

Deep learning spatiotemporal air pollution data in China using data fusion

Earth Science Informatics, 2020
An efficient and effective spatiotemporal prediction algorithm for PM2.5 (i.e. particulate matter with a diameter of less than 2.5 micrometers) is urgently needed to study the distribution of PM2.5 over a continuous spatiotemporal domain, which not only helps to make scientific decisions on the prevention and control of PM2.5 pollution but also ...
Xiaolu Zhou, Weitian Tong, Lixin Li 0002
openaire   +2 more sources

Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2021
© 1980-2012 IEEE. Due to the tradeoff between spatial and temporal resolutions commonly encountered in remote sensing, no single satellite sensor can provide fine spatial resolution land surface temperature (LST) products with frequent coverage.
Zhixiang Yin, Penghai Wu, Giles M Foody   +2 more
exaly   +3 more sources