Results 61 to 70 of about 617,016 (320)
On the monotonicity principle of optimal Skorokhod embedding problem
, 2016 In this paper, we provide an alternative proof of the monotonicity principle for the optimal Skorokhod embedding problem established by Beiglb\"ock, Cox and Huesmann.
Guo, Gaoyue, Tan, Xiaolu, Touzi, Nizar
core +2 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning
Scientific Reports, 2023 Virtual network embedding (VNE), as the key challenge of network resource management technology, lies in the contradiction between online embedding decision and pursuing long-term average revenue goals.
Xiancui Xiao
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan +4 more
wiley +1 more source
Survivability-Enhanced Virtual Network Embedding Strategy in Virtualized Wireless Sensor Networks
Sensors, 2020 With the widespread application of wireless sensor networks (WSNs), WSN virtualization technology has received extensive attention. A key challenge in WSN virtualization is the survivable virtual network embedding (SVNE) problem which efficiently maps a ...
Dapeng Wu +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.The puncture prevention and energy absorption performance of composite metal foam (CMF) are studied experimentally and numerically for hazardous materials transportation protection. The numerical model implementing air within the CMF (nonhomogeneous model using fluid cavity technique) predicts puncture more accurately compared to the homogeneous CMF ...
Aman Kaushik, Afsaneh Rabiei
wiley +1 more source
An algorithm for embedding oversubscribed virtual data center
Dianxin kexue, 2017 Predictable network performance is critical for cloud applications and can be achieved by providing tenants a dedicated virtual data center (VDC) with bandwidth guarantee.The embedding problem of oversubscribed data center in physical data center network
Chukun LU, Fangfang YAN, Dong LI
doaj +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Heuristic energy-saving virtual network embedding algorithm based on Katz centrality
Archives of Electrical Engineering, 2020 Current networks are designed for peak loads leading to low utilization of power resources. In order to solve this problem, a heuristic energy-saving virtual network embedding algorithm based on the Katz centrality (Katz-VNE) is proposed.
Qiang Zhu +4 more
doaj +1 more source