Results 61 to 70 of about 413,957 (241)
Digital Methods for the Fatigue Assessment of Engineering Steels
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener+7 more
wiley +1 more source
Efficient and Accurate Automatic Python Bindings with cppyy & Cling [PDF]
The simplicity of Python and the power of C++ force stark choices on a scientific software stack. There have been multiple developments to mitigate language boundaries by implementing language bindings, but the impedance mismatch between the static nature of C++ and the dynamic one of Python hinders their implementation; examples include the use of ...
arxiv
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller+8 more
wiley +1 more source
Scalable and Precise Application-Centered Call Graph Construction for Python [PDF]
Call graph construction is the foundation of inter-procedural static analysis. PYCG is the state-of-the-art approach for constructing call graphs for Python programs. Unfortunately, PyCG does not scale to large programs when adapted to whole-program analysis where application and dependent libraries are both analyzed. Moreover, PyCG is flow-insensitive
arxiv
Package CovRegpy: Regularized covariance regression and forecasting in Python
This paper will outline the functionality available in the CovRegpy package which was written for actuarial practitioners, wealth managers, fund managers, and portfolio analysts in the language of Python 3.11. The objective is to develop a new class of
Cole van Jaarsveldt+3 more
semanticscholar +1 more source
SimpleSBML: A Python package for creating and editing SBML models
Summary In this technical report we describe a simple extension to python-libSBML that allows users of Python to more easily construct SBML based models. The most commonly used package for constructing SBML models in Python is python-libSBML based on the
Caroline Cannistra+2 more
semanticscholar +1 more source
Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann+18 more
wiley +1 more source
EbbRT: Elastic Building Block Runtime - overview [PDF]
EbbRT provides a lightweight runtime that enables the construction of reusable, low-level system software which can integrate with existing, general purpose systems. It achieves this by providing a library that can be linked into a process on an existing
Appavoo, Jonathan+4 more
core +1 more source
The approaches taken to describe and develop spatial discretisations of the domains required for geophysical simulation models are commonly ad hoc, model or application specific and under-documented.
Candy, Adam S., Pietrzak, Julie D.
core +3 more sources
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source