6 citations · 9 across the 5 of their papers we have counts for
5 papers
Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers
Hannes Waclawek, Stefan Huber
This work explores an extension of machine learning-optimized piecewise polynomial approximation by incorporating energy optimization as an additional objective. Traditional closed…
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
Hannes Waclawek, Stefan Huber
Piecewise Polynomials (PPs) are utilized in several engineering disciplines, like trajectory planning, to approximate position profiles given in the form of a set of points. While…
Digital Twins of Business Processes as Enablers for IT / OT Integration
Hannes Waclawek, Georg Schäfer, Christoph Binder +2
The vision of Industry 4.0 introduces new requirements to Operational Technology (OT) systems. Solutions for these requirements already exist in the Information Technology (IT) wor…
IT/OT Integration by Design
Georg Schäfer, Hannes Waclawek, Sarah Riedmann +3
The four Industry 4.0 design principles information transparency, technical assistance, interconnection, and decentralized decisions pose challenges in integrating information tech…
-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
Stefan Huber, Hannes Waclawek
In this work we present an "out-of-the-box" application of Machine Learning (ML) optimizers for an industrial optimization problem. We introduce a piecewise polynomial model (splin…