Results 31 to 40 of about 385,040 (197)

Efficient Algorithm for Energy-Aware Virtual Network Embedding

Tsinghua Science and Technology, 2016
Network virtualization is a promising approach for resource management that allows customized Virtual Networks (VNs) to be multiplexed on a shared physical infrastructure.
Shuxian Jia, Guiyuan Jiang, Peilan He, Jigang Wu   +3 more
doaj   +1 more source

ReViNE: Reinforcement Learning-Based Virtual Network Embedding in Satellite-Terrestrial Networks

IEEE Transactions on Communications
This paper addresses the virtual network embedding (VNE) problem in integrated satellite-terrestrial networks (STNs). VNE consists of mapping virtual network functions (VNFs) in a service function chain (SFC) to physical nodes and mapping virtual links ...
Ilora Maity, T. Vu, S. Chatzinotas
semanticscholar   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Minimum Cost Flow Model and Algorithm of Virtual Network Embedding

Dianxin kexue, 2014
The dynamic process of network virtualization was studied,and the inversion phenomenon that the revenue did not rely on embedding cost was discovered.Then minimum cost flow model and algorithms of virtual network embedding which fit for creating virtual ...
Xiaohua Chen, Chunzhi Li, Liangyu Chen, Zhenbing Zeng   +3 more
doaj   +2 more sources

Virtual network embedding method based on node delay perception

IET Networks
Wireless virtual network uses software defined network and network function virtualisation technologies to create multiple logically isolated virtual networks on a physical wireless network.
Yaning Wang, Hui Zhi
doaj   +1 more source

Admission Control and Virtual Network Embedding in 5G Networks: a Deep Reinforcement-Learning approach

IEEE Access, 2022
Fifth-generation (5G) networks are already available in major urban areas and are expected to bring a major transformation to citizens’ lives. 5G services, such as enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC), and ...
S. Troia, A. Vanegas, L. M. M. Zorello, G. Maier   +3 more
semanticscholar   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Virtual Network Embedding Based on Hierarchical Cooperative Multiagent Reinforcement Learning

IEEE Internet of Things Journal
Virtual network embedding (VNE) is a promising technique enabling 5G networks to satisfy the given requirements of each service via network virtualization (NV).
Hyun-kyo Lim, Ihsan Ullah, Ju-Bong Kim, Youn-Hee Han   +3 more
semanticscholar   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source