8 citations · 14 across the 4 of their papers we have counts for
6 papers
Global Solver based on the Sperner-Lemma and Mazurkewicz-Knaster-Kuratowski-Lemma based proof of the Brouwer Fixed-Point Theorem
Thilo Moshagen
In this paper a fixed-point solver for mappings from a Simplex into itself that is gradient-free, global and requires function evaluations for halvening the error is presented,…
Finding hidden-feature depending laws inside a data set and classifying it using Neural Network
Thilo Moshagen, Nihal Acharya Adde, Ajay Navilarekal Rajgopal
The logcosh loss function for neural networks has been developed to combine the advantage of the absolute error loss function of not overweighting outliers with the advantage of th…
Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19
Nihal Acharya Adde, Thilo Moshagen
In the case of clustered data, an artificial neural network with logcosh loss function learns the bigger cluster rather than the mean of the two. Even more so, the ANN when used fo…
On meeting Energy Balance Errors in Cosimulations
Thilo Moshagen
In engineering, it is a common desire to couple existing simulation tools together into one big system by passing information from subsystems as parameters into the subsystems unde…
Convergence of explicitly coupled Simulation Tools (Cosimulations)
Thilo Moshagen
In engineering, it is a common desire to couple existing simulation tools together into one big system by passing information from subsystems as parameters into the subsystems unde…
Treating Smoothness and Balance during Data Exchange in Explicit Simulator Coupling or Cosimulation
Dirk Scharff, Thilo Moshagen, Jaroslav Vondřejc
Cosimulation methods allow combination of simulation tools of physical systems running in parallel to act as a single simulation environment for a big system. As data is passed acr…