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A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things
While the proliferation of the Internet of Things (IoT) has revolutionized several industries, it
has also created severe data security concerns. The security of these network devices and …
has also created severe data security concerns. The security of these network devices and …
A comprehensive exploration of IoT-enabled smart grid systems: power quality issues, solutions, and challenges
The potential for Internet of Things (IoT) technology to transform energy management has
led to significant interest in its incorporation into smart grid systems. This review discusses …
led to significant interest in its incorporation into smart grid systems. This review discusses …
Mitigating energy consumption in heterogeneous mobile networks through data-driven optimization
5G networks, with their notable energy consumption, pose a significant challenge.
Traditional energy-saving methods, effective for 4G, struggle in heterogeneous 4G and 5G …
Traditional energy-saving methods, effective for 4G, struggle in heterogeneous 4G and 5G …
A survey on the state-of-the-art CDN architectures and future directions
Abstract A Content Delivery Network (CDN) consists of a distributed infrastructure of proxy
servers designed to deliver digital content to end users effectively. CDNs have gained …
servers designed to deliver digital content to end users effectively. CDNs have gained …
Coverage optimization for large-scale mobile networks with digital twin and multi-agent reinforcement learning
With the exponential growth of mobile users, ensuring high-quality network coverage has
become paramount. Large-scale mobile networks consist of numerous base stations (BSs) …
become paramount. Large-scale mobile networks consist of numerous base stations (BSs) …
Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization
With the rapid advancement of communication technology and the exponential growth of
mobile users, improving network coverage quality and throughput has become increasingly …
mobile users, improving network coverage quality and throughput has become increasingly …
Towards an intelligent and automatic irrigation system based on internet of things with authentication feature in VANET
H Zhang, M Li - Journal of Information Security and Applications, 2025 - Elsevier
Agriculture is essential for global livelihoods and economic stability, making efficient water
management crucial. The Internet of Things (IoT) has revolutionized smart farming, offering …
management crucial. The Internet of Things (IoT) has revolutionized smart farming, offering …
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation
Estimating the remaining useful life (RUL) of lithium-ion batteries presents a critical
challenge, as it necessitates predicting their future performance and lifespan under diverse …
challenge, as it necessitates predicting their future performance and lifespan under diverse …
LLM-AE-MP: Web attack detection using a large language model with autoencoder and multilayer perceptron
Web applications store sensitive data, making them prime targets for cybercriminals and
posing national security risks. This study introduces a new approach to distinguishing …
posing national security risks. This study introduces a new approach to distinguishing …
Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering
In the rapidly growing Internet of Things (IoT) landscape, federated learning (FL) plays a
crucial role in enhancing the performance of heterogeneous edge computing environments …
crucial role in enhancing the performance of heterogeneous edge computing environments …