Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
Five-axis scanning   Multi-entrance inwall surface   Geodesic Distance Field   Path planning   Surface partition   Interference-free   Continuous sweep scanning  

Five-Axis Continuous Sweep Scanning Method Based on Geodesic Distance Field for Multi-Entrance Inwall Surface Inspection Background Introduction In industrial applications, Multi-Entrance Inwall (MEI) surfaces pose significant challenges for precise inspection due to their complex topological structures and potential collision risks. Traditional po...

Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes

Engineering, Information Science, Automation, Artificial Intelligence,
process industry   multi-reactor cascade process   state self-learning   collaborative prediction   autonomous control  

Research on Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes Academic Background In the process industry, multi-reactor cascade operation is a distinctive characteristic. However, establishing an accurate and global model for multi-reactor cascade processes presents numerous challenges. Th...

Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   wildfire mitigation   decentralized planning   spatiotemporal tasks   resource optimization  

Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation Using Multiple UAVs Academic Background Wildfires pose a significant threat to global biodiversity and resource sustainability, especially in their early stages. If not controlled in time, wildfires can rapidly expand, leading to severe ecological damage. In recent ye...

Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning in USV

Engineering, Information Science, Computer Science, Automation,
Probabilistic Neural Networks   Model Predictive Control   Unmanned Surface Vehicles   Reinforcement Learning   Uncertainty Propagation  

A New Approach to Model Predictive Control for Unmanned Surface Vehicles (USV): A Probabilistic Neural Network-Based MBRL Framework Academic Background Unmanned Surface Vehicles (USVs) have seen rapid development in recent years within the field of marine science, finding extensive applications in scenarios such as marine transportation, environmen...

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
few-shot learning   degradation modeling   remaining useful life prediction   restricted-learning network   observation credibility inference   engineering systems   data-driven methods  

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling Academic Background In complex engineering systems, multiple sensors are widely used to monitor the degradation processes of equipment and predict their Remaining Useful Life (RUL). However, ensuring predictive performance remains challenging when...