Loading...
Please wait, while we are loading the content...
Similar Documents
Vehicle Price Classification and Prediction Using Machine Learning in the IoT Smart Manufacturing Era
| Content Provider | MDPI |
|---|---|
| Author | Al-Turjman, Fadi Hussain, Adedoyin A. Alturjman, Sinem Altrjman, Chadi |
| Copyright Year | 2022 |
| Description | In this paper, machine learning (ML) strategies have been utilized in predicting vehicles’ prices and good deals. Vehicle value prediction has been considered one of the most significant research topics with the rise of IoT for sustainability. This is because it requires observable exertion and massive field information. Towards generating a model that anticipates the vehicles’ price, we applied three ML methods (neural network, decision tree, support vector machine, and linear regression). However, the referenced methods have been applied to function together as a group in a hybrid model. The information utilized was gathered from an information and computer science school that houses different datasets. Separate exhibitions of several ML techniques were contrasted to reveal which one is suitable for the accessible information index. Various difficulties and challenges associated with this design have also been discussed. Moreover, the model was experimented, and a 90% precision was achieved. This potential result can help in providing precise vehicle deals in the emerging Internet of Things (IoT) for the sustainability paradigm. |
| Starting Page | 9147 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su14159147 |
| Journal | Sustainability |
| Issue Number | 15 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-26 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Information and Library Science Car Sales Machine Learning Support Vector Machine Linear Regression Neural Networks |
| Content Type | Text |
| Resource Type | Article |
