Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks

Research article (Mechanical Systems and Signal Processing, 2021) · cited 14× · AI/ML
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Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks

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Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-follower-jumps-in-cam-follower-mechanisms-the-benefit-of-using-physics-inspired-features-in-recurrent-neur
MLA “Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-follower-jumps-in-cam-follower-mechanisms-the-benefit-of-using-physics-inspired-features-in-recurrent-neur.
BibTeX @misc{4ortxyz_prediction-of-follower-jumps-in-cam-follower-mechanisms-the-benefit-of-using-physics-inspired-features-in-recurrent-neur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-follower-jumps-in-cam-follower-mechanisms-the-benefit-of-using-physics-inspired-features-in-recurrent-neur}, note = {Accessed: 2026-05-24}}
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