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Hybrid Deep Learning Enabled Air Pollution Monitoring in ITS Environment

  • Published:2022 Issue:1 Volume:72 Page:1157-1172
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Kumar Dutta Ashit,Sampson Jenyfal,Ahmad Sultan,Avudaiappan T.,Narayanasamy Kanagaraj,V. Pustokhina Irina,A. Pustokhin Denis

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference20 articles.

1. Deep reinforcement learning for intelligent transportation systems: A survey;Haydari;IEEE Transactions on Intelligent Transportation Systems,2020

2. A review on IEEE 802.11 p for intelligent transportation systems;Arena;Journal of Sensor and Actuator Networks,2020

3. An intelligent video analysis method for abnormal event detection in intelligent transportation systems;Wan;IEEE Transactions on Intelligent Transportation Systems,2021

4. An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems;Abbasi;Journal of Cloud Computing,2020

5. Automatic vehicle license plate recognition using optimal k-means with convolutional neural network for intelligent transportation systems;Pustokhina;IEEE Access,2020

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