Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data

I Mehmood, H Li, Y Qarout, W Umer, S Anwer… - Advanced Engineering …, 2023 - Elsevier
Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

Root cause analysis for process industry using causal knowledge map under large group environment

W Yue, J Chai, X Wan, Y Xie, X Chen, W Gui - Advanced Engineering …, 2023 - Elsevier
Root cause analysis (RCA) is a powerful tool utilized to identify the underlying causes of an
event or problem. However, due to the specificity of production requirements in the process …

System-wide construction waste and their connectivity to construction phases, impacting 5M factors and effects: a systematic review

MB Purushothaman, J Seadon - Smart and Sustainable Built …, 2024 - emerald.com
Purpose This review paper, using a systematic literature review (SLR) approach, aims to
unravel the various system-wide waste in the construction industry and highlight the …

Accident causes data-driven coal and gas outburst accidents prevention: Application of data mining and machine learning in accident path mining and accident case …

X Xuecai, S Xueming, F Gui, S Shifei… - Process Safety and …, 2022 - Elsevier
Analyzing the causes of accidents, excavating accident paths, and applying accident
prevention are important tasks in safety management. Focusing on coal and gas outburst …

An advanced exploration of technological functionalities addressing risk factors in earthmoving equipment operation on construction sites: a systematic literature …

N Soltanmohammadlou, CKH Hon… - Smart and Sustainable …, 2024 - emerald.com
Purpose This paper aims to analyze the current state of technological advancements
research in addressing the diverse risk factors involved in earthmoving equipment …

Temporal analysis of the frequency of accidents associated with construction equipment

H Jung, B Choi, S Kang, Y Kang - Safety science, 2022 - Elsevier
This study performs a temporal investigation of construction equipment-related accidents
(CEAs). Accidents associated with the use of construction equipment are among the leading …

Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry

SB Rane, S Wavhal, PR Potdar - International Journal of System …, 2023 - Springer
In today's era of digitalization and competitive market environment, organizations are more
focused on manufacturing quality products at optimum cost to capture maximum business as …

A hybrid approach to near-miss report investigation towards next-generation safety solutions on-board ships

S Bicen, M Celik - Ocean Engineering, 2022 - Elsevier
The human element is a key aspect of safety at sea. It is highlighted as the most contributing
factor to the various accidents, incidents, hazardous occurrences and near-miss events …

Contactless Vital-Sign Monitoring of Construction Machinery Operators Using Millimeter-Wave Technology

J Wang, H Li, S Han, G Wang, W Ren - Journal of Construction …, 2025 - ascelibrary.org
Accidents related to construction machinery primarily result from operators engaging in
unsafe behavior. Continuous monitoring of the vital signs of heavy machinery operators is …

[HTML][HTML] Human reliability and Organizational factors—How do Human Factors contribute to Signals Passed at Danger?

G Neves, G Ribeiro, M Grilo, V Infante, AR Andrade - Safety science, 2024 - Elsevier
The majority of railway incidents happen due to human error. Historically, human error has
been split into active and latent errors, both to be investigated. Active errors are linked to a …