Results 51 to 60 of about 14,094,490 (288)

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

Virtual Network Function Orchestration with Scylla

, 2020
Network Function Virtualization promises to reduce the cost to deploy and to operate large networks by migrating various network functions from dedicated hardware appliances to software instances running on general purpose networking and computing ...
Roberto Riggio, Julius Schulz-Zander, Abbas Bradai   +2 more
core   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Research on Virtualization of Mobile Core Network Architecture

Dianxin kexue, 2014
The NFV and SDN were introduced, the current work in network virtualization was analyzed and its requirements were concluded. Aimed at network architecture of mobile core network, and then the architecture of core network virtualization were proposed and
Wei Xiong, Bingyi Fang, Yunyong Zhang, Jun Wu, Sufen Li   +4 more
doaj   +2 more sources

Abstraction Layer Based Virtual Data Center Architecture for Network Function Chaining [PDF]

, 2016
© 2016 IEEE. Network virtualization is one of the most promising technology for the data centers. It was innovated to use the network resources efficiently to evaluate new protocols and services on the same hardware.
Yuichi Ohsita, Ali Kashif Bashir, Ohsita, Y, Masayuki Murata, Bashir, AK, Murata, M   +5 more
core   +2 more sources

Securing virtual network function placement with high availability guarantees [PDF]

, 2017
Virtual Network Functions as a Service (VNFaaS) is currently under attentive study by telecommunications and cloud stakeholders as a promising business and technical direction consisting of providing network functions as a service on a cloud (NFV ...
Fouilhoux, Pierre, Pierre Fouilhoux, Stefano Secci, Bouet, Mathieu, Secci, Stefano, Mathieu Bouet, Casazza, Marco, Marco Casazza   +7 more
core   +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

A virtual Network Function Workload Simulator

, 2016
The purpose of this thesis was to design and implement a program that can simulate configurable workload similar to a Virtual Network Function (VNF). When designing a Network Function Virtualization solution the contents of the environment are not always
Mollberg, Mikael
core   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source