Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Fuel Consumption and Maintenance Cost of Heavy-Duty Vehicles based on SR-GRU-CNN Algorithm Subject The topic of the resource Auxiliary Power Unit (APU); Fuel Cell Systems (FCS); Stacked Residual Gated Recurrent Unit Convolutional Neural Networks (S R-GRU-CNN) Description An account of the resource A heavy-duty vehicle's fuel usage, and thus its carbon dioxide emissions, are significantly impacted by the driver's behavior. The average fuel economy of a car varies by about 28% between drivers. Fuel efficiency can be improved by driver education, monitoring, and feedback. Fuel efficiency-based incentives are one form of feedback that can be provided. The largest challenge for transportation companies implementing such incentive programs is how to accurately evaluate drivers' fuel consumption. The processes of preprocessing, feature extraction, and model training are all utilized in the suggested method. Principal component analysis (PCA) is widely utilized in data science's preprocessing stage. GMM is used for feature extraction. Afterwards, SR-GRU-CNN is used to train the models based on the selected features. When compared to the two most popular alternatives, CNN and SR-GRU, the proposed methodexcels. 2023 IEEE. Creator An entity primarily responsible for making the resource Bansod P.J.; Mohan U.; Yadav D.K.; Singh Y.; Sharmila P.; Chauhan A. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 811-816. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACRS58579.2023.10404423" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404423</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2FICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2fICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bansod P.J., Department of Mechanical Engineering, G H Raisoni College of Engineering &Management, Wagholi, Pune, India; Mohan U., Department of Mechanical Engineering, University of Technology and Applied Sciences, Salalah, Oman; Yadav D.K., Department of Electronics & Communication Engineering, IIMT College of Engineering, Greater Noida, India; Singh Y., India Meteorological Department, Mausam Bhawan, Lodhi Road, New Delhi, India; Sharmila P., Department of Science & Humanities, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, Chennai, India; Chauhan A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be university), Karnataka, Bengaluru, India