STFM: Accurate Spatio-Temporal Fusion Model for Weather Forecasting
AtmosphereMeteorological prediction is crucial for various sectors, including agriculture, navigation, daily life, disaster prevention, and scientific research.
Jun Liu +5 more
doaj +1 more source
Advanced Materials Technologies, Volume 10, Issue 7, April 4, 2025.This study explores how channel geometry and flow conditions affect blood and lymphatic endothelial cell (EC) orientation and morphology in vessel‐on‐chip (VoC) models. Application of various flow conditions results in very different cell morphology in channels with circular and rectangular cross‐section.
Mohammad Jouybar +4 more
wiley +1 more source
FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features [PDF]
, 2022 Qianqian Zhou, Nan Chen, Siwei Lin
openalex +1 more source
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks [PDF]
Quantifying uncertainty is crucial for robust and reliable predictions. However, existing spatiotemporal deep learning mostly focuses on deterministic prediction, overlooking the inherent uncertainty in such prediction. Particularly, highly-granular spatiotemporal datasets are often sparse, posing extra challenges in prediction and uncertainty ...
arxiv +1 more source
GRASPNET: Fast spatiotemporal deep learning reconstruction of golden-angle radial data for free-breathing dynamic contrast-enhanced magnetic resonance imaging. [PDF]
NMR Biomed, 2023 Jafari R +6 more
europepmc +1 more source
Advanced Optical Materials, EarlyView.Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley +1 more source
Advanced Photonics Research, EarlyView.This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu +5 more
wiley +1 more source
Optimization of Wireless Sensor Network Deployment for Spatiotemporal Reconstruction and Prediction [PDF]
arXiv, 2019 This paper addresses the problem of optimizing sensor deployment locations to reconstruct and also predict a spatiotemporal field. A novel deep learning framework is developed to find a limited number of optimal sampling locations and based on that, improve the accuracy of spatiotemporal field reconstruction and prediction.
arxiv
Optical Microfiber Biomedical Sensors: Classification, Applications, and Future Perspectives
Advanced Sensor Research, Volume 4, Issue 5, May 2025.This review delves deeply into the various types of optical microfiber biosensors, grounded firmly in their fundamental principles, and underscores their indispensable roles in pushing forward biomedical advancements. It examines the latest advancements, challenges faced by these biosensors in practical applications, future directions, breakthroughs ...
Lili Liang +5 more
wiley +1 more source
Deep Learning Techniques for Spatiotemporal Weighted Pose Taekwondo Features and Their Application in Tactical Analysis [PDF]
, 2023 Lei Song
openalex +1 more source