LubeLogger is a web-based vehicle maintenance and fuel mileage tracker
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Updated
Dec 12, 2024 - JavaScript
LubeLogger is a web-based vehicle maintenance and fuel mileage tracker
EU's Type-Approving vehicle simulator predicting NEDC CO2 emissions from WLTP
Free WordPress Plugin: This free gasoline cost calculator evaluates the fuel cost of a journey using several units of measurement depending on fuel efficiency, distance, and gas price. www.calculator.io/gas-cost-calculator/
Fuel Consumption Prediction using Linear Regression 🚗💨
Using Multiple Linear Regression model to predict the consumption of fuel by a car
Predict fuel consumption with a Streamlit-powered web app. Explore regression models to forecast fuel efficiency.
Fuel-Master is a powerful and essential plugin for Minecraft server administrators who want to manage player experiences. Designed to prevent enchanted items from being used as furnace fuel, Fuel-Master ensures that valuable resources are preserved and used for their intended purposes.
Repo for Vancouver Datajam 2023 Fuel Consumption Project
Stores the basic Machine Learning models that I've worked on and learned from using Kaggle, Google Colab and Jupyter Notebook
Fuel Consumption Prediction by Simple Linear Regression
A system for tracking trip data on an ESP32
[STANDALONE] Fuel System for Vehicles
The motivation behind this project is to provide valuable insights into the complex factors influencing vehicle fuel economy. By understanding these factors, consumers can make informed decisions when purchasing vehicles, policymakers can develop effective regulations to promote fuel efficiency,
An application to easily collect fuel consumption statistics for analysis in external programs.
Android app - monitors consumed and purchased fuel.
Simple fuel cost calculator built with .NET MAUI
Ship Routing Algorithm to Minimize Fuel consumption ⛽ and CO2 emission 🚢💨
This repository delves into fuel consumption data analysis using both simple and multiple linear regression models. We aim to uncover the relationships between various factors (independent variables) and fuel consumption (dependent variable).
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