Safety Autonomous Platform for Data-Driven Risk Management Based on an On-Site AI Engine in the Electric Power Industry
The electric power industry poses significant risks to workers with a wide range of hazards such as electrocution, electric shock, burns, and falls. Regardless of the types and characteristics of these hazards, electric power companies should protect their workers and provide a safe and healthy work...
Saved in:
Main Authors: | Dongyeop Lee, Daesik Lim, Joonwon Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/630 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The arrival of AI to the cities: platform urbanism and new regimes of governmentality
by: José Luis Blasco Ejarque, et al.
Published: (2024-12-01) -
Managing Risk in the Design of Modular Systems for an Autonomous Shuttle
by: Thomas H. Drage, et al.
Published: (2024-01-01) -
Responsible AI in biotechnology: balancing discovery, innovation and biosecurity risks
by: Nicole E. Wheeler
Published: (2025-02-01) -
ELECTRICAL ARC FLASH SAFETY DETECTION IN POWER DISTRIBUTION NETWORK
by: AMAKIRI OKILO FRIDAY, et al.
Published: (2023-02-01) -
A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease
by: K. M. Tawsik Jawad, et al.
Published: (2025-01-01)