Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development

Research article (Applied Sciences, 2024) · cited 12× · AI/ML
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Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development

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Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development. Retrieved May 24, 2026, from https://4ort.xyz/entity/four-wheeled-vehicle-sideslip-angle-estimation-a-machine-learning-based-technique-for-real-time-virtual-sensor-developme
MLA “Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/four-wheeled-vehicle-sideslip-angle-estimation-a-machine-learning-based-technique-for-real-time-virtual-sensor-developme.
BibTeX @misc{4ortxyz_four-wheeled-vehicle-sideslip-angle-estimation-a-machine-learning-based-technique-for-real-time-virtual-sensor-developme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development}}, year = {2026}, url = {https://4ort.xyz/entity/four-wheeled-vehicle-sideslip-angle-estimation-a-machine-learning-based-technique-for-real-time-virtual-sensor-developme}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development — https://4ort.xyz/entity/four-wheeled-vehicle-sideslip-angle-estimation-a-machine-learning-based-technique-for-real-time-virtual-sensor-developme (retrieved 2026-05-24)

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