Results 151 to 160 of about 1,455,623 (376)

Towards Model Checking Real-World Software-Defined Networks (version with appendix)

, 2020
In software-defined networks (SDN), a controller program is in charge of deploying diverse network functionality across a large number of switches, but this comes at a great risk: deploying buggy controller code could result in network and service ...
Klimis, Vasileios, Parisis, George, Reus, Bernhard   +2 more
core  

A GRU deep learning system against attacks in software defined networks

Journal of Network and Computer Applications, 2021
M. D. Assis, L. F. Carvalho, Jaime Lloret, M. L. Proença   +3 more
semanticscholar   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

A variable-trust threshold-based approach for DDOS attack mitigation in software defined networks. [PDF]

PLoS One, 2022
Salem FM, Youssef H, Ali I, Haggag A.
europepmc   +1 more source

Wireless Sensor Network Performance Enhancement using Software Defined Networking Principle

, 2022
Basma Mohammad, Abdelazeem A. Abdelsalam, Khaled A. Ali, R Alves, D Oliveira, G Segura, C Margi, R Alves, D Oliveira, G Nunez Segura, C Margi, S Badr, K Aly, A Ghuniem, X Cui, X Huang, Y Ma, Q Meng, B De Oliveira, C Margi, L Gabriel, H Dhawan, S Waraich, A Dunkels, L Galluccio, S Milardo, G Morabito, S Palazzo, A Ghasempour, Z Han, W Ren, W Heinzelman, A Chandrakasan, H Balakrishnan, D Kreutz, F Ramos, P Ver Ssimo, C Rothenberg, S Azodolmolky, S Uhlig, H Kobo, A Abu-Mahfouz, G Hancke, L Liu, Q Liu, L Cheng, R Alves, T Ozcelebi, F Kuipers, G Xu, J Lukkien, S Chen, N Mckeown, T Anderson, H Balakrishnan, G Parulkar, L Peterson, J Rexford, S Shenker, J Turner, F Olivier, G Carlos, N Florent, F Olivier, R Sharma, G Jain, S Gupta, A Silva, L Luo, S Karunasekera   +69 more
openalex   +1 more source

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

DoSGuard: Mitigating Denial-of-Service Attacks in Software-Defined Networks. [PDF]

Sensors (Basel), 2022
Li J, Tu T, Li Y, Qin S, Shi Y, Wen Q.
europepmc   +1 more source

Retraction Note to: Efficient optimal resource allocation for profit maximization in software defined network approach to improve quality of service in cloud environments [PDF]

, 2022
R. Divya, V. E. Jayanthi
openalex   +1 more source

A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks

IEEE Communications Surveys and Tutorials, 2014
B. A. A. Nunes, Marc Mendonca, X. Nguyen, K. Obraczka, T. Turletti   +4 more
semanticscholar   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source