Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency
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Updated
Mar 11, 2025 - Python
Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency
Research-stage results; see docs/ for validation, benchmarks, and uncertainty notes.
A novel CO₂-based adaptive cooling architecture for sealed or outdoor computing systems in hazardous or extreme environments, treating thermal management as a finite, deployable resource with multi-modal control for mission-critical reliability and validated through comprehensive simulation.
Advanced digital twin platform for ultra-high vacuum and precision control. Explore enhanced modeling and real-time synchronization for quantum applications. 🌍💻
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