[HTML][HTML] Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
[HTML][HTML] An effective adaptive customization framework for small manufacturing plants using extreme gradient boosting-XGBoost and random forest ensemble learning …
SK Kiangala, Z Wang - Machine Learning with Applications, 2021 - Elsevier
The prevailing competitive manufacturing industry calls for continuous customer satisfaction
for business sustainability. With the emergence of the Industry 4.0 paradigm, product …
for business sustainability. With the emergence of the Industry 4.0 paradigm, product …
未来网络技术与发展趋势综述
黄韬， 刘江， 汪硕， 张晨， 刘韵洁 - 通信学报, 2021 - infocomm-journal.com
对面向2030 的未来网络领域的发展趋势进行了综述. 首先, 介绍了网络体系架构和试验设施领域
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
A survey on machine learning techniques for routing optimization in SDN
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
[HTML][HTML] Deep learning approach for SDN-enabled intrusion detection system in IoT networks
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …
number of IoT-based attacks has been growing yearly. The existing solutions may not …
Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
IA Valdovinos, JA Pérez-Díaz, KKR Choo… - Journal of Network and …, 2021 - Elsevier
Software-defined networking (SDN) is a network paradigm that decouples control and data
planes from network devices and places them into separate entities. In SDN, the controller is …
planes from network devices and places them into separate entities. In SDN, the controller is …
QR-SDN: Towards reinforcement learning states, actions, and rewards for direct flow routing in software-defined networks
Flow routing can achieve fine-grained network performance optimizations by routing distinct
packet traffic flows over different network paths. While the centralized control of Software …
packet traffic flows over different network paths. While the centralized control of Software …
Networking systems of AI: On the convergence of computing and communications
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …
changing the world. On the deep convergence of computing and communication, networking …