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Research Article

Car Price Prediction Using Enhanced Technique

  • Paper ID 183
  • Volume 5, Issue 5
  • Pages 05-08
  • Published Online: September-October 2024
  • 29 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • B. Venkat Teja1
  • A. Abhinaya2
  • B. Pragnya3
  • C.V.S Subramanyam4
  • Dr. X.S. Asha Shiny5

1234 B.Tech, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India. 5 Professor, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India.

Article Information

Published Online
September-October 2024
Pages
05-08
Article Type
Research Article
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References

1. Liu, Y., Zeng, J. and Wang, C. (2009). Temperature Monitoring in Laser Assisted Polymer Bonding for MEMS Packaging Using a
thin Film Sensor Array , IEEE Sensors Applications Symposium, New Orleans, LA , USA.
2. De Prez, M. Used car market to soften in second-half of 2022. General News, 31 May (2022).
3. Mammadov, H. (2021). Car Price Prediction in the USA by using Liner Regression. International Journal of Economic Behavior
(IJEB), 11(1), 99-108.
4. Khan,(2021) Muhammad Nasir, Hasnain Kashif, and Abdul Rafay. "Performance and optimization of hybrid FSO/RF communication
system in varying weather." Photonic Network Communications vol. 41, no. 1, pp. 47- 56.
5. B. Cui, Z. Ye, H. Zhao, Z. Renqing, L. Meng, and Y. Yang, “Used Car Price Prediction Based on the Iterative Framework of XG
Boost+Light GBM,” Electronics (Basel), vol. 11, no. 18, p. 2932, Sep. 2022, doi: 10.3390/electronics11182932.
6. Das Mou, P. Kumar Saha, S. Akter Nisher and A. Saha, "A Comprehensive Study of Machine Learning algorithms for Predicting
Car Purchase Based on Customers Demands," in 2021 International Conference on Information and Communication Technology
for Sustainable Development (ICICT4SD), Dhaka, (2021).
7. K.Samruddhi, Dr. R.Ashok Kumar(2020) “Used Car Price Prediction using K-Nearest Neighbor Based Model” IJIRASE Volume
Issue 3, DOI: 10.29027/IJIRASE.v4.i3.2020.686-689, September 2020
8. F. Zhang, J. Yang, Y. Guo and H. Gu, "Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model," in SPIOT 2020:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
9. Statistics. Vehicle Center Croatia. Centar za vozila Hrvatske—Statistika, 2022. Available online: https://cvh.hr/gradani/tehnickipregled/statistika/ (accessed on 30 May 2022).
10. W. Yu et al.,(2021) “Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network,” complexity,
vol. 2021, pp. 1–17, Jan. 2021, doi: 10.1155/2021/6616121.
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