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...
Research on Global Consensus of Stochastic Multi-Agent Systems Based on Robust Fuzzy Cooperative Strategy Academic Background In modern technological fields such as automation, robotics, network communication, intelligent transportation systems, and distributed decision-making, Multi-Agent Systems (MAS) play a crucial role. MAS can efficiently exec...
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...
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...
Projective Weighted Dynamic Time Warping-Based Monitoring Method for Multi-Stage Processes with Unequal Durations Academic Background In modern manufacturing industries, online monitoring of multi-stage processes (such as batch and transition processes) is crucial for improving product quality and reducing failure risks. However, due to varying ope...
Micropipette-Image Calibration Method Based on Micromanipulation System for Somatic Cell Microinjection Research Background Microinjection is a technique that employs a fine micropipette to inject a precise amount of genetic material, drugs, or other exogenous substances directly into cells or tissues. This technology plays a pivotal role in biomed...
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 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...
Academic Background and Research Motivation In the field of dental healthcare, Cone Beam Computed Tomography (CBCT) is a widely used three-dimensional imaging technique. CBCT provides three-dimensional images of the oral cavity and is particularly effective in diagnosing odontogenic lesions. However, the segmentation of CBCT images—labeling each vo...
Research on Upper Limb Joint Angle Estimation Based on Visual-Inertial Sensors and the Impact of Calibration Methods Academic Background Upper limb dysfunction, especially in post-stroke patients, significantly impacts their ability to perform daily activities. Rehabilitation training is a critical method for restoring upper limb function, but its ...