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International Journal of Intelligent Networks
Scopus
ISSN 2666-6030 · KeAi Communications Co., Ltd. · 153 articles in the index
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Journal Article
A collaborative framework for rapid fault repair and service restoration in distribution networks
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 installation of most equipment, these networks are highly exposed to extreme weather events that…
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Journal Article
Dual-personalized federated fast convergence model for efficient service recommendation
Service recommendation in edge Service-Oriented Architecture (SOA) environments must balance privacy protection, recommendation accuracy, and the limited computing resources of user devices. Many existing federated recommendation methods protect raw interaction data, but often still rely on broad…
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Journal Article
Enhancing blockchain network security: A targetable machine learning model for effective vulnerability repair
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. Researchers have suggested various methods to address vulnerabilities in these contracts and…
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Journal Article
Secure digital asset trading technology based on MPC and blockchain
With the rapid expansion of digital asset trading, the contradiction between data sharing and privacy protection has increasingly become a significant challenge in the Internet environment. To address this issue, this paper proposes a secure multi-party computation scheme based on blockchain…
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Journal Article
Enhanced intelligent transportation network systems for optimized emergency medical services management
This work discusses and emphasizes improvements in emergency medical services (EMS) by using intelligent transportation systems (ITS), geographic information systems (GIS), network analysis approaches, interviews, questionnaires, and field studies. The aim is to study ambulance operation…
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Journal Article
HCLDR: Heterogeneous Graph Convolutional Networks with Contrastive Learning for Diversity Recommendation
Accuracy, now powering most of supporting users to achieve personalized recommendation in recommender systems, is one of the predominantly evaluation criteria. However, the diversity of the recommendation lists is limited and cannot meet the users’ more sophisticated search needs. Additionally, the…
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Journal Article
YOLOv11-RAH: A recurrent attention-enhanced edge intelligence network for UAV-based power transmission line insulator inspection
Reliable inspection of power transmission lines is essential for smart grid maintenance, yet manual surveys are slow, costly, and risky, and current detectors still struggle with small insulator defects hidden in complex outdoor scenes. This paper introduces YOLOv11-RAH, a lightweight network…
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Journal Article
Transformer based framework for nuclei segmentation and cell counting on microscopic images of multiple organs
Segmentation of cell nuclei in microscopic images is a vital task in cell counting, essential for cancer diagnosis and cancer grading. Also, it is more challenging due to the presence of overlapping nuclei which complicates the process of accurately distinguishing and separating individual nuclei…
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Journal Article
A hybrid deep reinforcement learning and genetic algorithm approach for optimized resource allocation and reconfigurable intelligent surface deployment in 6G holographic communication
The advent of 6G holographic communication demands extremely high data rates and ultra-low latency, creating unprecedented challenges for resource allocation and Reconfigurable Intelligent Surface (RIS) configuration. To address these requirements, we propose a novel hybrid framework that…
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Journal Article
Machine learning in indoor localization prediction using Received Signal Strength Indicator and Wi-Fi network
Indoor usage of smartphones and electronic devices can be a source of information to detect the indoor location, which is known as localization that can be applied in large human health services and workplaces for example. Though the Global Positioning System (GPS) provides many effective location…
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Journal Article
Global representation fine-tuning for federated self-supervised representation learning
Federated self-supervised representation learning combines federated learning with self-supervised mechanisms to learn general representations from distributed unlabeled data, effectively reducing reliance on labeled data. However, under data heterogeneity, existing methods primarily focus on…
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Journal Article
MIDES: A multi-layer Intrusion Detection System using ensemble machine learning
In recent years, as the frequency and types of network attacks increase, Intrusion Detection Systems (IDSs) have become essential components of most organizations’ security infrastructure. Although the use of machine learning methods shows great promise for the design of effective IDSs, existing…
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Journal Article
Design and research of multi-heterogeneous network security intrusion detection system based on TensorFlow framework
Traditional intrusion detection systems (IDS) face challenges in complex and heterogeneous network environments, particularly in terms of accuracy, adaptability, and performance. This study presents an advanced IDS integrating the TensorFlow framework with heuristic optimization algorithms…
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Journal Article
Intelligent routing agent based on Q-learning and Markov decision processes for routing optimization in DTN networks
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 changing dynamics of DTN networks. To address these challenges, the integration of advanced…
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Journal Article
GAN-based solar radiation forecast optimization for satellite communication networks
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 remote sensing data, are now primary techniques for this forecasting task. However, these methods…
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Journal Article
Improving distributed systems failure prediction via multi-objective feature selection and deep forest
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 of KPI metrics redundancy. Although existing studies have used feature selection methods to…
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Journal Article
Improving spam botnet detection through convolutional model and geolocation feature enhancement in a novel three-class classification task
Botnet detection remains a critical and challenging area in the field of information security, primarily due to the intricate architectures and sophisticated attack mechanisms employed by botnets. The significant influence of botnets on spam traffic is well-documented; however, much of the existing…
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Journal Article
Prostate cancer detection in intelligent big data systems using omnipresent AI with Fox and Golden Jackal Optimizers
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 to provide accurate and fast prostate cancer detection. Golden Jackal Optimization (GJO) for…
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Journal Article
QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm
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 distribution of edge servers critically impacts network transmission efficiency, while heterogeneous…
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Journal Article
SMS spam detection using BERT and multi-graph convolutional networks
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 rule-based and blacklist methods fail against evolving spamming techniques, prompting the…