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[HTML][HTML] Investigating routing in the vanet network: Review and classification of approaches
Vehicular Ad Hoc Network (VANETs) need methods to control traffic caused by a high
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …
[HTML][HTML] Machine Learning in Information and Communications Technology: A Survey
The rapid growth of data and the increasing complexity of modern networks have driven the
demand for intelligent solutions in the information and communications technology (ICT) …
demand for intelligent solutions in the information and communications technology (ICT) …
Service-aware real-time slicing for virtualized beyond 5G networks
Edge Intelligence is expected to play a vital role in the evolution of 5G networks,
empowering them with the capability to make real-time decisions regarding various …
empowering them with the capability to make real-time decisions regarding various …
Reliable feature selection for adversarially robust cyber-attack detection
The growing cybersecurity threats make it essential to use high-quality data to train machine
learning (ML) models for network traffic analysis, without noisy or missing data. By selecting …
learning (ML) models for network traffic analysis, without noisy or missing data. By selecting …
A novel graph convolutional networks model for an intelligent network traffic analysis and classification
Network security in the midst of evolving and complex cyber-attacks is a growing concern.
As the complexity of network architectures grows, so does the need for advanced methods in …
As the complexity of network architectures grows, so does the need for advanced methods in …
[HTML][HTML] Enhancing 5G network slicing for IoT traffic with a novel clustering framework
The current extensive deployment of IoT devices, crucial for enhancing smart computing
applications in diverse domains, necessitates the utilization of essential 5G features, notably …
applications in diverse domains, necessitates the utilization of essential 5G features, notably …
[HTML][HTML] A clustering-based approach for classifying data streams using graph matching
Y Du, M He, X Wang - Journal of Big Data, 2025 - journalofbigdata.springeropen.com
In response to challenges such as data encryption, uneven distribution, and user privacy
concerns in network traffic classification, this paper presents a clustering-based approach. In …
concerns in network traffic classification, this paper presents a clustering-based approach. In …
SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning
This paper presents a cognitive flexible-bandwidth optical interconnect architecture for
datacom networks. The proposed architecture leverages silicon photonic reconfigurable all …
datacom networks. The proposed architecture leverages silicon photonic reconfigurable all …
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications
Existing massive deployments of IoT devices in support of smart computing applications
across a range of domains must leverage critical features of 5G, such as network slicing, to …
across a range of domains must leverage critical features of 5G, such as network slicing, to …
A Strategy to Develop and Translate Custom 5G Network Slice Templates Using Machine Learning Techniques
5G networks will support customization through network slicing technology. The design and
planning of network slices to meet disparate demands from divergent use cases is …
planning of network slices to meet disparate demands from divergent use cases is …