AI-BASED NEWTON'S LAW OBSERVATION AND REAL-TIME  METHOD

Sudheshwar Singh

AI-BASED NEWTON'S LAW OBSERVATION AND REAL-TIME METHOD

Authors

Sudheshwar Singh

Keywords:

Artificial Intelligence, Newton's Laws, Computer Vision, Real-Time Analysis, Motion Tracking, Physics Education, Deep Learning, Force Measurement

Abstract

Understanding and applying Newton's laws of motion forms the cornerstone of classicalmechanics and physics education, yet traditional observation methods rely heavily on manualmeasurements, controlled laboratory settings, and simplified scenarios that often disconnect theoretical concepts from real-world applications

References

Strang, G.; Fix, G.J.; Griffin, D. An Analysis of the Finite-Element Method; Prentice-Hall: Hoboken, NJ, USA, 1974. [Google Scholar]

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Published

2021-05-20

How to Cite

Sudheshwar Singh. (2021). AI-BASED NEWTON’S LAW OBSERVATION AND REAL-TIME METHOD . Journal of Computational Analysis and Applications (JoCAAA), 29(5), 1053–1066. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5028