Smartphone-Based CO2e Emission Estimation Using Transportation Mode Classification
Author:
Affiliation:
1. LiveRamp, London, U.K
2. Faculty of Engineering, Universidad Autónoma de Chihuahua, Chihuahua City, Mexico
3. Department of Computer Science, University of Exeter, Exeter, U.K
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10138385.pdf?arnumber=10138385
Reference55 articles.
1. Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
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3. Slow feature preprocessing in deep neural networks for wearable sensor-based locomotion recognition;günthermann;Proc IEEE Int Conf Pervasive Comput Commun Workshops Affiliated Events (PerCom Workshops),2022
4. Transportation mode detection – an in-depth review of applicability and reliability
5. An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction
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