Results 221 to 230 of about 8,315,593 (358)

Feeders-TDMA: a distributed‐control algorithm for satellite channel capacity assignment in a mixed traffic and faded environment [PDF]

open access: bronze, 1997
Nedo Celandroni   +2 more
openalex   +1 more source

A Distributed Algorithm for Large-Scale Graph Partitioning

open access: yesACM Transactions on Autonomous and Adaptive Systems, 2015
Fatemeh Rahimian   +4 more
semanticscholar   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

open access: yesAdvanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu   +2 more
wiley   +1 more source

A survey on resilient operations of active distribution networks with diversified flexibility resources

open access: yesFrontiers in Energy Research
Xiaorui Liang   +4 more
doaj   +1 more source

Building animations of distributed algorithms for educational purposes (poster) [PDF]

open access: bronze, 1998
Boris Koldehofe   +2 more
openalex   +1 more source

Distributed algorithm for optimal power flow on an unbalanced radial network

open access: yesIEEE Conference on Decision and Control, 2015
Qiuyu Peng, S. Low
semanticscholar   +1 more source

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

open access: yesAdvanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek   +7 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

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