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Ai-Supported Safety Management - Analysing Occupational Safety Data Using Machine Learning within the Framework of Human Factors

https://doi.org/10.2139/ssrn.4879013
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22/22 checkable references clean · checked 2026-09-06

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

32 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 22 checked references that resolve
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Learning From Accidents: Machine Learning for Safety at Railway Stations
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Advances in natural language processing
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Work-as-Imagined and Work- as-Done
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A new accident model for engineering safer systems
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Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
resolves10.1016/j.ssci.2020.104827
Framing the FRAM: A literature review on the functional resonance analysis method
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Risk management in a dynamic society: a modelling problem
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Principles of adaptive management in complex safety–critical organizations
resolves10.1037/h0042519
The perceptron: A probabilistic model for information storage and organization in the brain.
resolves10.3390/safety8020020
Assessing and Advancing Safety Management in Aviation
resolves10.1016/j.compind.2015.09.005
Natural language processing for aviation safety reports: From classification to interactive analysis
resolves10.1016/j.ssci.2014.11.005
Application of new human factors tool in an air traffic management organization
resolves10.1016/j.ssci.2017.02.013
Applying a new human factor tool in the nuclear energy industry
resolves10.1016/j.ssci.2024.106461
Assessing resilience in everyday work through observations: An assessment framework for complex sociotechnical systems
resolves10.1016/j.psep.2020.10.008
Safety intelligence as an essential perspective for safety management in the era of Safety 4.0: From a theoretical to a practical framework
resolves10.1016/j.ssci.2021.105414
Big data in safety management: An overview
resolves10.1016/j.ssci.2022.105840
Safety intelligence toward safety management in a big-data environment: A general model and its application in urban safety management
resolves10.1016/j.ssci.2019.08.030
Demystifying safety-related intelligence in safety management: Some key questions answered from a theoretical perspective
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no DOI — not checkedManagement and culture: the third age of safety. A review of approaches to organizational aspects of safety, health and environment
no DOI — not checkedAnalysis of railway accidents' narratives using deep learning
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no DOI — not checkedSafety management -looking back or looking forward
no DOI — not checkedThe four cornerstones of resilience engineering
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no DOI — not checkedArtificial intelligence for cybersecurity: Literature review and future research directions
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no DOI — not checkedThe 'new view'of human error. Origins, ambiguities, successes and critiques
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no DOI — not checkedMachine-learning tool for human factors evaluation-application to lion air Boeing 737-8 max accident
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no DOI — not checkedModeling safety criticality in aviation maintenance operations to support mastery of human factors Advances in Safety Management and Human Factors
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What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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