Aggregated Curve

Aggregated curves represent data structures summarizing complex relationships, often found in economics, finance, and image processing. Current research focuses on improving the accuracy and efficiency of modeling and forecasting these curves using various techniques, including neural networks (e.g., graph convolutional networks, recurrent neural networks, transformers), Kalman filters, and space-filling curves. These advancements are significant for applications ranging from battery health estimation and autonomous driving to medical image analysis and technology forecasting, enabling more accurate predictions and improved decision-making in diverse fields.