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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Authors
UTSAB PANDIT,AADAYA DIXIT
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Keywords
machine learning, image processing
Abstract
The assessment of light motor vehicle (LMV) fitness is crucial for ensuring vehicle safety, reliability, and optimal performance in the automotive industry. In this project, we propose a novel approach using machine learning algorithms to detect and classify LMV fitness levels based on a comprehensive analysis of vehicle data. Our methodology involves extensive data collection from onboard sensors, maintenance records, and driver behavior logs, followed by preprocessing, feature engineering, and model development stages. We explore a range of machine learning algorithms, including traditional methods and deep learning architectures, to build robust models capable of accurately predicting LMV fitness levels [3]. Through rigorous evaluation and validation, our models demonstrate promising performance metrics, with high accuracy, precision, recall, and area under the ROC curve (AUC-ROC). The integration of these models into real-world LMV monitoring systems offers practical benefit for proactive maintenance, safety enhancement, and regulatory compliance. Further research avenues include the integration of IoT devices, enhancement of model interpretability, dynamic model updating, scalability optimization, incorporation of external factors, and validation studies for regulatory compliance. Overall, our project contributes to advancing automotive health monitoring and underscores the importance of leveraging machine learning for LMV fitness detection in the automotive industry
IJCRT's Publication Details
Unique Identification Number - IJCRT24A4563
Paper ID - 257942
Author type - Indian Author
Page Number(s) - n524-n530
Pubished in - Volume 12 | Issue 4 | April 2024
DOI (Digital Object Identifier) -
No Of Downloads - 22
Author Country - India, 603203, Chennai, Chennai, 603203, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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UTSAB PANDIT,AADAYA DIXIT, "LMV FITNESS DETECTION USING M L ALGORITHMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.n524-n530, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4563.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.
IJCRT is Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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International Journal of Creative Research Thoughts (IJCRT)
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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