Janis P. Terpenny

Mechanical Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 5 citations into it

Whom Janis P. Terpenny trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bernhard Sick

Papers from Janis P. Terpenny's perspective

Ordered by how strongly the researchers Janis P. Terpenny trusts endorse each paper. Same corpus, a different order for every researcher.

1. ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH
2. Health assessment and life prediction of cutting tools based on support vector regression (Journal of Intelligent Manufacturing)
3. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
4. Comparison of prognostic algorithms for estimating remaining useful life of batteries
5. Support Vector Regression Machines
6. The Nature of Statistical Learning
7. A training algorithm for optimal margin classifiers
8. The Nature of Statistical Learning Theory
9. Learning with Kernels
10. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)

Their papers

• A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests (2017) — 609 citations