Fires often occur, and the damage caused by them is often irreversible.Fire-prone environments can be identified through historical data, and predictive models are recommended to prevent fires in advance.This study uses a variety of machine learning techniques to build fire prediction models and perform a comparative analysis to predict fires.We use data from local fire departments in South Korea to build fire prediction models using decision trees, random forest, XGBoost, extra tree classification, artificial neural networks, and more.Before creating the fire prediction models, we analyze and significant predictive features of a structural fire.We compared the fire prediction models and showed accuracy, F1-score, precision, and recall.The prediction model built with the random forest is the most accurate, but there is a little difference in the accuracy of each model trained with the extra tree classifier, XGBoost, and neural network.For the F1 Score, the model with a neural network shows the best value.
The advantages of cloud computing for organizations are self-evident, but for human resources experts cloud computing applications might be especially valuable. In bigger companies, HR groups are typically spread out over various regions of a building, various area of the nation or different time zones. This is probably going to bring about an absence of communication, where recruitment specialists can only with significant effort converse with team member or the other way around, and HR team member don't generally have prepared access to information observed and updated by another division. A cloud-based HR system can help remove the administrative worry from a developing HR group and permit them to focus on their business.
In this paper, an attempt has been made to understand the importance of a neural network-based chatbot system for movie-related queries.
Cloud technology has changed the distribution method to software development and distribution, and not only its own cloud services and solutions provided by cloud service providers, but also the services registered by the developers through the marketplace for each service provider can do.Based on the convenient advantages of the cloud marketplace, many cloud-based software vendors are expected to grow their domestic and international markets.Many cloud service providers (CSPs) have the convenience of registering and deploying their software to the marketplace, billing and technical support to attract customers for their services and continually improve their stable sales.I'm making a lot of effort to this study analyzes the optimal cloud platform based on software marketing strategy for domestic and foreign cloud market changes.
A typical mental problem that develops over a long period of time after experiencing a physically and mentally shocking event is known as post-traumatic stress disorder.Posttraumatic stress disorder is a complex psychological trauma that can lead to self-harm and self-harm and suicidal thoughts at risk, even in serious cases to suicide.The root cause of this phenomenon can be found in many places, but repeated trauma exposure and inadequate medical support in regard to the occupational specificity of fire fighters can be cited as the main cause.As such, the psychological post-traumatic stress disorder needs to be dealt with as a mental health problem in the public domain, beyond the mental health level of the individual.Even for stability, research on advancement of analysis tools for high-risk groups and preemptive prediction methods should be carried out along with the shift of awareness of the actual risk factors in modern society to encompass social problems in a broad sense.The purpose of this study is to analyze the risk group of post-traumatic stress disorders exposed to various types of trauma such as accidents, damages and disasters based on NEMA (National Emergency Management Association) data.
