9 citations · 10 across the 4 of their papers we have counts for
4 papers
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
Francis Ndikum Nji, Omar Faruque, Mostafa Cham +2
Classifying subsets based on spatial and temporal features is crucial to the analysis of spatiotemporal data given the inherent spatial and temporal variability. Since no single cl…
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method
Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang +3
Atmospheric gravity waves occur in the Earths atmosphere caused by an interplay between gravity and buoyancy forces. These waves have profound impacts on various aspects of the atm…
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction
Weilong Ding, Tianpu Zhang, Jianwu Wang +1
Inter-city highway transportation is significant for urban life. As one of the key functions in intelligent transportation system (ITS), traffic evaluation always plays significant…
MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting
Sahara Ali, Jianwu Wang
Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The…