ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
To enable the online strength assessment of distribution systems integrated with Distributed Energy Resources (DERs), a novel hybrid model and data-driven approach is proposed. Based on the IEC-60909 ...
[Artificial Neural Networks for Solving Ordinary and Partial Differential Equations]https://www.cs.uoi.gr/~lagaris/papers/TNN-LLF.pdf), Lagaris etal, IEEE ...
A mechanobiological computer optimization framework to design scaffolds to enhance bone regeneration
The treatment of large bone defects is a clinical challenge. 3D printed scaffolds are a promising treatment option for such critical-size defects. However, the design of scaffolds to treat such ...
When a new instance of the CICERO-SCM class is created the dictionary cfg needs to be sent as a parameter, detailing the configurations of the instance. All options that end in _file can be exchanged ...
The solution to chemical kinetic models for a particular reactor configuration is usually composed of a set of stiff ordinary differential equations (ODEs), where a number of rate parameters have to ...
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