Incident Report

Incident reporting research focuses on improving the speed, accuracy, and effectiveness of identifying and responding to various events, from traffic accidents to software system failures. Current research employs machine learning, particularly deep learning models like convolutional neural networks and transformers, along with large language models (LLMs), to automate tasks such as incident detection, classification, root cause analysis, and even emotional support delivery in certain contexts. These advancements aim to enhance efficiency in emergency response, improve system reliability, and provide valuable insights for proactive risk management across diverse sectors, including transportation, cloud computing, and public safety.