Results 41 to 50 of about 814,220 (170)

In-Situ Calibrated Modeling of Residual Stresses Induced in Machining under Various Cooling and Lubricating Environments

Lubricants, 2021
Although many functional characteristics, such as fatigue life and damage resistance depend on residual stresses, there are currently no industrially viable ‘Digital Process Twin’ models (DPTs) capable of efficiently and quickly predicting machining ...
Julius Schoop
doaj   +1 more source

Predictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters

Water Science and Technology, 2022
A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks' (PSTs) behavior in wastewater treatment plants was developed in this study.
Carlos Veloz, Esteban Pazmiño-Arias, Andrea M. Gallardo, Jhon Montenegro, Alicia Sommer-Márquez, Marvin Ricaurte   +5 more
doaj   +1 more source

Inductive process modeling [PDF]

Machine Learning, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski   +3 more
openaire   +1 more source

The comparison of different PDP-type self-adaptive schemes for the cooperation of GA, DE, and PSO algorithms [PDF]

ITM Web of Conferences
Many global optimization problems are presented as a black-box model, in which there is no information on the objective function properties. Traditional optimization algorithms usually can't effectively solve that kind of problems.
Sopov Anton, Karaseva Tatiana
doaj   +1 more source

Process Modeling with SeeMe: A Modeling Method for Service Processes

, 2011
In today's economy, the management of processes is an important aspect for companies. While this holds true in general, it is even more important when dealing with non-tangible goods such as services (Flies, 2009, 193ff.). A deep understanding and documentation of the often implicit requirements of service processes enables service providers to reduce ...
Prilla, Michael, Schermann, Michael, Herrmann, Thomas, Krcmar, Helmut   +3 more
openaire   +2 more sources

ViennaPS: A flexible framework for semiconductor process simulation

SoftwareX
ViennaPS is an open-source software framework for simulating fabrication processes in semiconductor manufacturing, with a focus on topography evolution during etching and deposition.
T. Reiter, L. Filipovic
doaj   +1 more source

Ultrasonic assisted consolidation of commingled thermoplastic/glass fibers rovings

Frontiers in Materials, 2015
Thermoplastic matrix composites are finding new applications in different industrial area thanks to their intrinsic advantages related to environmental compatibility and processability. The approach presented in this work consists in the development of a
Francesca eLionetto, Riccardo eDell'Anna, Francesco eMontagna, Alfonso eMaffezzoli   +3 more
doaj   +1 more source

Selkov’s Dynamic System of Fractional Variable Order with Non-Constant Coefficients

Mathematics
This article uses an approach based on the triad model–algorithm–program. The model is a nonlinear dynamic Selkov system with non-constant coefficients and fractional derivatives of the Gerasimov–Caputo type.
Roman Parovik
doaj   +1 more source

Author Correction: Assessment of natural groundwater reserve of a morphodynamic system using an information-based model in a part of Ganga basin, Northern India

Scientific Reports, 2022
N. C. Mondal, V. Ajaykumar
doaj   +1 more source

Algorithms for Solving Ordinary Differential Equations Based on Orthogonal Polynomial Neural Networks

Algorithms
This article proposes single-layer neural network algorithms for solving second-order ordinary differential equations, based on the principles of functional connection.
Roman Parovik
doaj   +1 more source