Hybrid Deep Learning Model Detects Intrusions in Wireless Sensor Networks
A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports over 92 percent accuracy in detecting ...
A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports over 92 percent accuracy in detecting ...
A new multiagent reinforcement learning routing algorithm, EERA-MRL, reportedly achieves 98.5 percent throughput and lower energy use in simulated submerged ...
A hybrid fuzzy rule-based and reinforcement learning scheduler improves real-time traffic reliability, delay, and energy use in Industrial IoT TSCH ...
A PRISMA-based systematic review of 43 studies published between 2016 and 2025 classifies energy-efficient routing protocols for agricultural wireless sensor ...
A systematic scoping review of 50 studies finds that academic IoT and LoRa/LoRaWAN research for mine safety is concentrated at ...
A new systematic review of 22 wake-up radio routing protocols finds major energy savings under low-to-moderate traffic but flags gaps ...
A new review maps how low-cost energy harvesting technologies could replace batteries in smart sensing and Internet of Things devices.
A federated GraphQL platform unified five building data systems at a Danish university, letting an AI model answer real facility ...
A simulation study reports that a bio-inspired, AI-enabled wireless sensor network design improved network lifetime, energy efficiency, reliability and latency ...
A seven-week field trial in Colombia showed that a single-gateway LoRaWAN network with sensor collars delivered directly verified reception over ...
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© 2025 Scienmag - Science Magazine