Fuzzy Reinforcement Learning Scheduler Boosts Real-Time Traffic in Industrial IoT Networks
A hybrid fuzzy rule-based and reinforcement learning scheduler improves real-time traffic reliability, delay, and energy use in Industrial IoT TSCH ...
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 GIS-based multi-criteria study of Ramadi District found that over 95% of its 46 sports complexes sit in urban areas, ...
A hybrid fuzzy–machine learning framework classifies UAV takeoff safety into Safe, Caution and Unsafe categories for Saudi date palm farms, ...
A Fuzzy Logic controller strategy was successfully applied to a single-input dual-output DC–DC converter, demonstrating superior settling times and voltage ...
A new fuzzy multi-agent framework continuously assesses hospital resource health and detected simulated degradation about 69 hours earlier than a ...
A systematic review of IoT and AI-enabled microclimate regulation in poultry farming demonstrates that predictive climate management can achieve thermal ...
A domain-specific fuzzy-logic system linked eight student characteristics to interpretable aesthetic-education pathways and career recommendations, achieving 83.2% top-1 accuracy in ...
A new FARABI framework uses fuzzy logic and semi-Markov models to improve routing resilience in 6G vehicular networks against physical ...
A GIS-based frequency-ratio model using 14 environmental and hydrometeorological factors achieved an AUC of 0.876 for landslide susceptibility in Pithoragarh, ...
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© 2025 Scienmag - Science Magazine