Capacity Analysis

Capacity analysis focuses on determining the information processing limits of various systems, from neural networks and communication channels to hospital resource allocation and electric grids. Current research emphasizes developing novel capacity measures and efficient algorithms, including deep learning models, to accurately estimate these limits, often employing techniques like autoencoders and graph convolutional networks. These advancements are crucial for optimizing system design, improving prediction accuracy in applications like battery health monitoring, and enhancing resource management in complex settings.