A hybrid model for predicting Mobile Price Range using machine learning techniques-Reference-Cited by-同舟云学术

A hybrid model for predicting Mobile Price Range using machine learning techniques

Published:2022-01-11 Issue: Volume: Page:
ISSN:
Container-title:2022 The 8th International Conference on Computing and Data Engineering
language:
Short-container-title:

Author:

Sakib Ahsanul Hoque¹,Shakir Asif Khan¹,Sutradhar Shanjoy¹,Saleh MD.Abu¹,Akram Washim¹,Biplop Khalid Been MD.Badruzzaman¹

Affiliation:

1. Department of Software Engineering, Daffodil International University, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512850.3512860

Reference20 articles.

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2. 29+ Smartphone Usage Statistics : Around the World in 2020. (n.d.) . Retrieved January 10, 2021 , from https://leftronic.com/smartphone-usage-statistics/ 29+ Smartphone Usage Statistics: Around the World in 2020. (n.d.). Retrieved January 10, 2021, from https://leftronic.com/smartphone-usage-statistics/

3. Balakumar B. Raviraj P. & Gowsalya V. (n.d.). Mobile Price prediction using Machine Learning Techniques. Balakumar B. Raviraj P. & Gowsalya V. (n.d.). Mobile Price prediction using Machine Learning Techniques.

4. Khillha , F. , & Shawwa , N. ( 2020 ). ANN for Predicting Mobile Phone Price Range . Khillha, F., & Shawwa, N. (2020). ANN for Predicting Mobile Phone Price Range.

5. Artificial neural networks architectures for stock price prediction: Comparisons and applications;Di Persio L.;International Journal of Circuits, Systems and Signal Processing,2016

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