Results 71 to 80 of about 1,727,853 (256)
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction [PDF]
, 2022 Demystifying the delay propagation mechanisms among multiple airports is fundamental to precise and interpretable delay prediction, which is crucial during decision-making for all aviation industry stakeholders.
Wu, Yuankai +3 more
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MathematicsThe ionospheric total electron content (TEC) has complex spatiotemporal variations, making its spatiotemporal prediction challenging. Capturing long-range spatial dependencies is of great significance for improving the spatiotemporal prediction accuracy ...
Yalan Li +6 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
On spatiotemporal prediction for online monitoring dat
, 1996 Spatiotemporal prediction is of interest in many areas of applied statistics, especially in environmental monitoring with online data information. At first, this article reviews the approaches for spatiotemporal modeling in the context of stochastic ...
Berke, O. +1 more
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Temperature plays a critical role in climate systems and resource management. Understanding spatiotemporal evolution of the temperature is vital for effective climate adaptation and resource management. Traditional models often treat spatial and temporal
Iqbal, Nouman +2 more
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Prediction of PM2.5 Concentration on the Basis of Multitemporal Spatial Scale Fusion
Applied SciencesWhile machine learning methods have been successful in predicting air pollution, current deep learning models usually focus only on the time-based connection of air quality monitoring stations or the complex link between PM2.5 levels and explanatory ...
Sihan Li, Yu Sun, Pengying Wang
doaj +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Spatiotemporal systems: gradual variations, identification, adaptation and robustness [PDF]
, 2009 Motivated by the increasing size of complex systems by mere interconnection of simple units, this dissertation considers a set of important open research problems related to the stability, identi fication, adaptation and robustness of spatiotemporal ...
Sarwar, Azeem
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Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Multimodal Fusion ConvLSTM Model for Long-Term Snow Cover Image Prediction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSnow cover distribution, as a direct product of atmospheric circulation, plays a pivotal role in the Earth’s climate system. It exerts a significant impact on climate by regulating the surface energy balance, modulating the hydrological cycle, and
Yuexin Zhang +6 more
doaj +1 more source