Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions

Research article (IEEE Access, 2023) · cited 28× · AI/ML
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Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions

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Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions is a scholarly article[1].

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  • Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/experimental-evaluation-of-tire-tread-wear-detection-using-machine-learning-in-real-road-driving-conditions
MLA “Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/experimental-evaluation-of-tire-tread-wear-detection-using-machine-learning-in-real-road-driving-conditions.
BibTeX @misc{4ortxyz_experimental-evaluation-of-tire-tread-wear-detection-using-machine-learning-in-real-road-driving-conditions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions}}, year = {2026}, url = {https://4ort.xyz/entity/experimental-evaluation-of-tire-tread-wear-detection-using-machine-learning-in-real-road-driving-conditions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions — https://4ort.xyz/entity/experimental-evaluation-of-tire-tread-wear-detection-using-machine-learning-in-real-road-driving-conditions (retrieved 2026-05-24)

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