47 citations · 92 across the 9 of their papers we have counts for
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cs.LG2021
A Deep Reinforcement Learning Approach for Composing Moving IoT Services
Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
We develop a novel framework for efficiently and effectively discovering crowdsourced services that move in close proximity to a user over a period of time. We introduce a moving c…
cs.LG2018★ 15 cited
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat +1
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based o…