Urban Traffic Application: Traffic Volume Prediction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9006-9_5
Reference61 articles.
1. A.P. Plageras, K.E. Psannis, C. Stergiou, et al., Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings. Futur. Gener. Comput. Syst. 82, 349–357 (2018)
2. O. Bates, A. Friday, Beyond data in the smart city: repurposing existing campus IoT. IEEE Pervas. Comput. 16(2), 54–60 (2017)
3. N. Nesa, I. Banerjee, IoT-based sensor data fusion for occupancy sensing using Dempster–Shafer evidence theory for smart buildings. IEEE Intern. Things J. 4(5), 1563–1570 (2017)
4. T. C. Team, A to Z of smart buildings (2019), https://www.comfyapp.com/blog/d-data/. Accessed Aug 2019
5. D. Snoonian, Smart buildings. IEEE Spectr. 40(8), 18–23 (2003)
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