Original paper
A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
Volume: 107, Pages: 248 - 265
Published: Aug 21, 2019
Abstract
No abstract.
Paper Details
Title
A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
Published Date
Aug 21, 2019
Volume
107
Pages
248 - 265
TrendsPro
You’ll need to upgrade your plan to Pro
Looking to understand a paper’s academic impact over time?
- Scinapse’s Citation Trends graph enables the impact assessment of papers in adjacent fields.
- Assess paper quality within the same journal or volume, irrespective of the year or field, and track the changes in the attention a paper received over time.
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.