Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada

Abul Azad, Xin Wang 0004. Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada. ISPRS Int. J. Geo-Information, 10(6):358, 2021. [doi]

@article{Azad021,
  title = {Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada},
  author = {Abul Azad and Xin Wang 0004},
  year = {2021},
  doi = {10.3390/ijgi10060358},
  url = {https://doi.org/10.3390/ijgi10060358},
  researchr = {https://researchr.org/publication/Azad021},
  cites = {0},
  citedby = {0},
  journal = {ISPRS Int. J. Geo-Information},
  volume = {10},
  number = {6},
  pages = {358},
}