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  1. FRAMEWORK FOR IMPLEMENTING A MACHINE LEARNING WORKFLOW IN DYNAMIC VOLTAGE AND FREQUENCY SCALING (DVFS) FOR IMPROVED POWER AND THERMAL MANAGEMENT
  2. Voltage and Frequency Scaling in Low Power VLSI
  3. Improved Power Reduction and Aging Mitigation Using Gate Replacement and Voltage Scaling Techniques
  4. Dynamic Voltage Restorer (DVR) Utilized for Enhancing the Voltage Quality in Medium Voltage Networks using Hybrid Power Source Setup
  5. A FRAMEWORK FOR USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES IN NOWCASTING: REAL-TIME DATA AND MULTIPLE FREQUENCY ECONOMIC DATA RELEASES FOR ECONOMISTS AND POLICY MAKERS
  6. Possibilities for Developing and Implementing a Mobile Application for Recognizing the Shape of the Environment, Text, and Reading QR Codes Using the Android Camerax Framework and the Machine Learning KIT
  7. VOLTAGE SAG COMPENSATION AND POWER QUALITY IMPROVEMENT USING DYNAMIC VOLTAGE RESTORER
  8. Improved Extreme Learning Machine Power Load Forecasting Based on Firefly Optimization Algorithms
  9. EFFECT OF FREQUENCY SCALING ON POWER CONSUMPTION IN EMBEDDED SYSTEMS
  10. The Effects of Various Frequency Scaling Algorithm on Embedded Linux CPU Power Consumption