… public emergencies. Firstly, this paper expounds on the blocking process of the OPS evolution
on public emergencies … OPS evolution to control public emergencies and OPS through the …

… (CC) with Deep Learning (DL) model to identify NPOs in public emergencies, classify
emotions in NPO, and summarize the general features of NPOs in public emergencies from the …

… for early emergency detection and safety monitoring in public spaces using deep learning …
from captured audio signals and using a deep learning model trained with data collected both …

… public health emergencies’ early warning is significant for people all over the world. Therefore,
in deep learning… early warning system for public health emergencies. The relevant news …

… In this article, taking a public stadium as the case, a risk assessment method with the … for
complex systems, deep learning methods are invoked in this article. For deep learning, it is very …

… -related emergencies, flu pandemics, and other emergencies all require … emergency
information to the public. This paper presents our design of a deep-learning-based emergency …

… that for similar emergencies, the focus of public … public attention to emergencies at different
stages, providing reliable data and experience support for future EDM of similar emergencies. …

… In order to solve these problems, this paper proposes a model BERT_RCNN for sentiment
analysis of netizens during public health emergency based on deep learning. BERT_RCNN …

… tweets from the general public at scale. Machine learning methods can be especially …
As a result, this study uses machine learning, artificial intelligence, and information systems …

… resources to ensure public safety, smooth functioning of cities and address such incidents
in a timely manner. To engage the public in coordinating these emergency response services …