Real-time Detection Algorithm for Concept Drift Analysis

A car with visible wear and tear is performing a drift maneuver on an asphalt surface, emitting smoke from the tires. A crowd of spectators is visible in the background behind a barrier, some with banners and signs. The car has a flag draped over it, adding to the dramatic scene.

The expected outcomes of this research include: 1) Proposing a real-time concept drift detection algorithm suitable for open-world environments, providing a more efficient solution for complex scenarios; 2) Validating the advantages of this algorithm in improving detection accuracy and reducing computational resource consumption, offering a basis for practical applications; 3) Identifying the limitations of the algorithm and proposing optimization directions, promoting further development in related fields. These outcomes will help improve the dynamic adaptability of AI models in open-world environments, advance the application of AI systems in complex scenarios, and provide experimental data and application scenarios for the further optimization of OpenAI models.

A car is drifting on a track producing plumes of white smoke from its tires. The setting includes an overcast sky with scattered clouds and a background of trees. Tire marks are visible on the asphalt, emphasizing the car's movement.

Research

Analyzing concept drift through theoretical and experimental validation methods.

A white car is drifting around a corner on a track, creating smoke from the tires. The car has visible wear and tear, while a person in an orange safety vest is standing in the background, watching the event. There is a blurred audience in the backdrop.

Several race cars are drifting on a concrete surface surrounded by stacks of tires and safety barriers. There is a red tent on the left side with people in reflective vests, and a lot of smoke or dust is in the air, partially obscuring the background.