Results 31 to 40 of about 187,858 (317)

Analysis of hybrid Nd:Yag laser-MAG arc welding processes. [PDF]

, 2011
In the hybrid laser-arc welding process, a laser beam and an electric arc are coupled in order to combine the advantages of both processes: high welding speed, low thermal load and high depth penetration thanks to the laser; less demanding on joint ...
F. Coste, E. Le Guen, P. Le Masson, COSTE, Frédéric, LE MASSON, Philippe, M. Carin, LE GUEN, Emilie, FABBRO, Rémy, CARIN, Muriel, R. Fabbro   +9 more
core   +1 more source

Generalization of Runoff Risk Prediction at Field Scales to a Continental‐Scale Region Using Cluster Analysis and Hybrid Modeling

Geophysical Research Letters, 2022
As surface water resources in the U.S. continue to be pressured by excess nutrients carried by agricultural runoff, the need to assess runoff risk at the field scale continues to grow in importance.
Chanse M. Ford, Yao Hu, Chirantan Ghosh, Lauren M. Fry, Siamak Malakpour‐Estalaki, Lacey Mason, Lindsay Fitzpatrick, Amir Mazrooei, Dustin C. Goering   +8 more
doaj   +1 more source

Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

Metals, 2021
Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations.
Amir M. Horr, Johannes Kronsteiner
doaj   +1 more source

Design classes for hybrid simulations involving agent-based and system dynamics models [PDF]

, 2012
Hybrid simulation involves the use of multiple simulation paradigms, and is becoming an increasingly common approach to modelling modern, complex systems.
McNaught, Ken R., Swinerd, Chris
core   +1 more source

Hybrid Modelling for Robust Solving [PDF]

Annals of Operations Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brahim Hnich, Zeynep Kiziltan, Ian Miguel, Toby Walsh   +3 more
openaire   +2 more sources

Modeling Stochastic Hybrid Systems [PDF]

, 2006
Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffc management, flexible manufacturing systems, fault tolerant control systems etc. In a typical hybrid system, the state space is hybrid in the sense that some components take values in a Euclidean space, while some other components are discrete.
Ghosh, Mrinal K., Bagchi, Arunabha
openaire   +2 more sources

Hybrid Models for Learning to Branch

CoRR, 2020
34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver ...
Gupta P., Gasse M., Khalil E. B., Kumar M. P., Lodi A., Bengio Y.   +5 more
openaire   +5 more sources

A classical control approach to the power management of an all-electric hybrid vehicle. [PDF]

, 2009
Modern hybrid electric vehicles (HEVs) often employ all-electric powertrains that utilise hybrid sources of power and energy; such as batteries, fuel cells and ultracapacitors.
Marco, James, Vaughan, Nicholas D.
core   +1 more source

A Simulation Model for Hybrid Multicast [PDF]

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies, 2014
In order to achieve one-to-many data delivery on the internet, native multicast is used and implemented in some parts of the Internet. On the other hand, application layer multicast (ALM), which uses P2P overlays (overlay multicast, OM), can be used to create multicast trees and deliver the data at the application layer.
Alwadani, Dhaiffallah, Kolberg, Mario, Buford, John   +2 more
openaire   +1 more source

Different Tools on Multi-Objective Optimization of a Hybrid Artificial Neural Network – Genetic Algorithm for Plasma Chemical Reactor Modelling [PDF]

, 2012
A hybrid ANN-GA was successfully developed to model, to simulate and to optimize simultaneously a catalytic–DBD plasma reactor. The integrated ANN-GA method facilitates powerful modeling and multi-objective optimization for co-generation of synthesis ...
Istadi, Istadi, I. Istadi, Saidina Amin, Nor Aishah, Nor Aishah Saidina Amin   +3 more
core   +1 more source