Exploring Fuzzy Logic and Random Forest for Car Drivers’ Fuel Consumption Estimation in IoT-Enabled Serious Games-Reference-Cited by-同舟云学术

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Exploring Fuzzy Logic and Random Forest for Car Drivers’ Fuel Consumption Estimation in IoT-Enabled Serious Games

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 14th International Symposium on Autonomous Decentralized System (ISADS)
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Author:

Massoud Rana,Bellotti Francesco,Berta Riccardo,De Gloria Alessandro,Poslad Stefan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9151908/9155551/09155706.pdf?arnumber=9155706

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of the Data-Driven Prediction Method of Vehicle Fuel Consumption;Energies;2023-07-09

2. Random Forest Ensemble-Based Predictions of On-Road Vehicular Emissions and Fuel Consumption in Developing Urban Areas;Sustainability;2023-01-12

3. A comprehensive review on the prediction of ship energy consumption and pollution gas emissions;Ocean Engineering;2022-12

4. Architecting Intelligent Smart Serious Games for Healthcare Applications: A Technical Perspective;Sensors;2022-01-21

5. ITHACA. A TOOL FOR INTEGRATING FUZZY LOGIC IN UNITY;2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI);2021-07

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