VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...

Abstract: The present study proposed an enhanced cuckoo search (ECS) algorithm combined with artificial neural network (ANN) as the surrogate model to solve structural reliability problems. In order ...

DIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico ...

Pystra (Python Structural Reliability Analysis) is a python module for structural reliability analysis. Its flexibility and extensibility make it applicable to a large suite of problems. Along with ...

ABSTRACT: The present study was conducted to present the comparative modeling, predictive and generalization abilities of response surface methodology (RSM) and artificial neural network (ANN) for the ...

ABSTRACT: Parametric uncertainties should always be considered when setting design criteria in order to ensure safe and cost effective design of engineered structures. This paper presents the results ...

If you’re trying to find ways to move away from single-use items for the sake of the planet, don’t overlook the humble AA (or AAA, or C, or D) battery. Rechargeable batteries can cost more than twice ...

PARANSYS (Python pArametric Reliability Analysis on ANSYS) is a module that can connect the ANSYS software to Python scripts using APDL scripts. It has one connection class and two other classes for ...