Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

AbstractThe fuel consumption model serves as a valuable tool for estimating real-time fuel consumption levels. An accurate fuel consumption model is crucial in providing precise information regarding fuel utilisation and motivating experts to assess the vehicle’s economy. The goal of this study was...

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Bibliographic Details
Main Authors: Harsh Nagar, Rajendra Machavaram,   Ambuj, Peeyush Soni, Vijay Mahore, Prakhar Patidar
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
Tractor fuel consumption prediction
generalised model
machine learning
gradient boosting regressor
cloud-driven serverless app
android app
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2024.2311810

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https://www.tandfonline.com/doi/10.1080/23311916.2024.2311810

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