Results 81 to 90 of about 126,539 (252)
A Systematic Review of the Current Status and Quality of Radiomics for Glioma Differential Diagnosis
Scientific research for publishing the ...
SDN, D
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Welcome from the NFV-SDN 2022 Chairs
, 2022 The 2022 IEEE NFV-SDN conference has committed itself to be one accelerator of the continuous exchange on the latest ideas, developments and results between all ecosystem partners in the academia and industry areas. The conference is highly encouraged to
Tutschku, Kurt, +4 more
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Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Advances in Distributed Computing and Artificial Intelligence JournalWith the great increase in the complexity of networking, software-defined networks have been developed to help administrators operate and configure network services with controllers such as Pox, Ryu, Floodlight and OpenDaylight.
Hussein Ali Al-Gubouri
doaj +1 more source
Networking-Aware IoT Application Development
Sensors, 2020 Various tools support developers in the creation of IoT applications. In general, such tools focus on the business logic, which is important for application development, however, for IoT applications in particular, it is crucial to consider the network ...
Arne Bröring +4 more
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Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
SDN and Network Security [PDF]
This paper explores Software Defined Networking (SDN), detailing its architecture, components, and advantages over traditional network infrastructures. It also examines the security vulnerabilities inherent in SDN systems and strategies for their mitigation.
Adriano Bubnjek +2 more
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Enterprise Network Security Using Few‐Shot Meta‐Learning
Artificial Intelligence for Engineering, EarlyView.This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain +4 more
wiley +1 more source
Research on SDN deployment practice for WAN egress traffic scheduling
网络与信息安全学报, 2020 In order to solve the traffic scheduling problem of the WAN exit part, a traffic scheduling optimization method based on SR Policy/EPE was proposed, which simulated and implemented an Internet egress traffic scheduling scheme on the carrier network. The
LI Guochun, MA Rui, Li Bozhong +1 more
doaj +1 more source