Computation offloading optimization for UAV-assisted power industrial internet of things mobile edge computing system
2026
With the advancement of the power industrial internet of things (PIIoT), the volume of data generated by intelligent power devices in smart power plants is rapidly increasing. Large-scale real-time...
A collaborative framework for rapid fault repair and service restoration in distribution networks
2026
Distribution networks constitute the terminal stage of the electric power system, delivering electricity from transmission grids to end users. Owing to their wide geographic dispersion and the outdoor...
Enhancing blockchain network security: A targetable machine learning model for effective vulnerability repair
2026
Smart contracts have been widely used on blockchain to automate financial and business transactions. While they are susceptible to attacks because of their involvement in operations like asset transfers....
Optimal transport enhanced text-assisted discriminative clustering for intelligent network images analytics
2026
In digital network, the uncontrolled flow of massive web image data poses a severe challenge to efficient organization and retrieval. Traditional deep clustering methods are often costly to train and...
DRCNet: Decoupled residual correction network for multivariate time series forecasting
2026
Accurate prediction of solar radiation energy can precisely assess the power generation capacity of photovoltaic systems, thereby optimizing grid dispatch and ensuring the stability of power supply....
TraffiPrompt: Network-aware multimodal prompt learning with motion-aware temporal modeling for driving video anomaly detection
2026
Driving video anomaly detection is crucial for intelligent transportation systems, yet remains challenging because raw video streams are high-dimensional, expensive to transmit, and hard to process...
MAGNET-Bot: A machine learning framework employing multilevel ensemble feature selection for botnet group activity detection
2026
Botnets represent a considerable threat to network security due to their ability to exploit compromised systems for coordinated malicious activities. While many existing botnet detection models achieve...
CA-DA: Class-adaptive deformable attention for semantic segmentation in internet-enabled visual sensing networks
Available online 10 July 2026
Semantic segmentation is a fundamental component of Internet-enabled visual sensing networks, where distributed cameras, edge devices, and networked sensors collect large-scale visual data from complex...
AI-Driven Intelligent Network Public Opinion Analysis Model for Universities with Dual-Dimensional Psychological and Emotional Features
Available online 8 July 2026
The current public opinion analysis methods for colleges and universities have several drawbacks: single analysis dimension, separated sentiment and stance recognition, weak scene generalization ability,...
SECVC: Service-Enhanced Computation Offloading in Complex VEC Environments via Continual Reinforcement Learning
Available online 3 July 2026
The rapid development of information and communication technologies has accelerated the deployment of Internet of Vehicles applications and sharply increased the volume and complexity of vehicular tasks....
RSE-YOLOv8n: A robust and real-time framework for fatigue driving detection in low-light and occluded environments
Available online 29 June 2026
Fatigue driving is a leading cause of traffic accidents, necessitating robust and real-time detection methods. However, existing facial feature-based approaches often suffer from significant performance...
Designing a novel network anomaly detection framework using multi-serial stacked network with optimal feature selection procedures over DDOS attacks
2025
- Distributed denial-of-service (DDoS) attacks are the major threat that disrupts the services in the computer system and networks using traffic and targeted sources. So, real-world attack detection...
Infrared spectral imaging-based image recognition for motion detection
2025
The current infrared imaging recognition methods are inadequate for real-time performance and accuracy for moving objects. Furthermore, they are subject to several constraints, which makes it challenging...
Teacher Probability Reconstruction based knowledge distillation within intelligent network compression
2025
In the optimization of intelligent network architecture, limited resources at each node, including edge computing devices, have posed challenges for deploying large models in performance-demanding scenarios....
Multi-relation-pattern knowledge graph embeddings for link prediction in hyperbolic space
2025
The aim of Knowledge Graph Embedding (KGE) is to acquire low-dimensional representations of entities and relationships for the purpose of predicting new valid triples, thereby enhancing the functionality...
Online and offline collaborative abnormal traffic intelligent detection system based on elastic lightweight width learning algorithm
2025
As the boost of information technology, network security issues have been increasingly prominent. Therefore, it is crucial for maintaining network security to establish an efficient abnormal traffic...
Resource optimization algorithm for 5G core network integrating NFV and SDN technologies
2025
The growth in network demand has driven the development of new network technologies. However, traditional network architecture cannot meet the huge traffic of transportation and different business needs....
Enhancing Time-Sensitive Networking resilience through SDN-based automated failover process
2025
In domains such as industrial automation, tactile networking, and invehicle communication, stringent requirements for bounded latency and minimal packet loss are paramount to ensure the reliability...
SMS spam detection using BERT and multi-graph convolutional networks
2025
The surge in smartphone usage has significantly increased Short Message Service (SMS) traffic and, consequently, SMS spam, posing risks such as phishing, financial losses, and privacy breaches. Traditional...
A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities
2025
Technology is now embedded in every aspect of human existence. The demand for technological advancement is increasing day by day for seamless connections. Integrating Artificial Intelligence (AI) into...
QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm
2025
Mobile Edge Computing (MEC) enhances service quality by decentralizing computational resources to network edges, thereby reducing latency and improving Quality of Service (QoS). However, the spatial...
Intelligent routing agent based on Q-learning and Markov decision processes for routing optimization in DTN networks
2025
DTN networks present significant routing challenges due to their intermittent connectivity and node mobility. Traditional routing protocols, often pre-established, prove inadequate in adapting to the...
GAN-based solar radiation forecast optimization for satellite communication networks
2025
Accurate short-term solar radiation forecasting is essential for the stable operation and dispatch of photovoltaic power generation systems. Advanced encoder–decoder architectures, utilizing satellite...
Improving distributed systems failure prediction via multi-objective feature selection and deep forest
2025
Distributed systems failure prediction uses Key Performance Indicator (KPI) metrics to train machine learning models to identify potential system failures. Currently, this approach faces the challenge...
Prostate cancer detection in intelligent big data systems using omnipresent AI with Fox and Golden Jackal Optimizers
2025
Prostate cancer is one of the most critical health concerns, making early detection essential for improved patient outcomes. In this context, this work used the ability of omnipresent AI and big data...