Abstract
This paper mainly discusses the application of the Isolation Forest Algorithm in the safety management of university laboratories. Through the analysis of the current situation of safety management in university laboratories, the deficiencies of traditional management methods are expounded. Then, the principle and advantages of the Isolation Forest Algorithm are introduced in detail, and the effectiveness of this algorithm in the abnormal detection of laboratory safety is verified through experiments in a simulated laboratory environment. The experimental results show that the Isolation Forest Algorithm can quickly and accurately detect abnormal situations in the laboratory, providing a new and effective means for the safety management of university laboratories.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
