All Stories

  1. Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Control
  2. A Novel Overlapping Coefficient-Based Framework for Integrating Multimodal Physiological Signals to Infer Cognitive Strategies and Operator Performance in Human–System Interfaces
  3. Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies
  4. Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study
  5. Experiment data: Human-in-the-loop decision support in process control rooms
  6. Enhancing Control Room Operator Decision Making
  7. Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance
  8. Autonomous vehicle navigation using high-definition maps through CARLA-ROS simulator bridge
  9. Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
  10. A novel clutch coupled drive design for rectification of odometry error: a comparative experimental study
  11. Experimental Lane Keeping Assist for an Autonomous Vehicle Based on Optimal PID Controller
  12. Assistive mobility cane exploiting skin-stroke tactile haptic feedback mechanism for visually impaired persons
  13. Skin stroking haptic feedback glove for assisting blinds in navigation