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Data-Driven Approaches for Accident Analysis in Sociochemical Systems · Study

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ChapterData-Driven Approaches for Accident Analysis in Sociochemical Systems

Kamran Gholamizadeh2024

Chapter2024

Data-Driven Approaches for Accident Analysis in Sociochemical Systems

Kamran Gholamizadeh · Esmaeil Zarei · Mohammad Yazdi · Md. Tanjin Amin

11 citations·0/0 files stored·Studies in systems, decision and control

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Risk and Safety Analysis Occupational Health and Safety Research Evaluation and Optimization Models

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References

2020Bias in data‐driven artificial intelligence systems—An introductory survey 2013Big Data Integration 2019Does big data enhance firm innovation competency? The mediating role of data-driven insights 2020Overview and Importance of Data Quality for Machine Learning Tasks 2014Data quality: The other face of Big Data 2022Uncertainty modeling in risk assessment of digitalized process systems 2020Analysis of severe industrial accidents caused by hazardous chemicals in South Korea from January 2008 to June 2018 2022Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions

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2024Influential criteria in domino accident analysis: An evaluation using the logarithm methodology of additive weights 2025Reframing safety barriers as socio-technical systems: a review of the hydrogen sector

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Year2024

Typechapter

Published2024-01-01

VenueStudies in systems, decision and control

ISSN-L2198-4182

Languageen

Citations11

Files0 public / 0

ShelfRisk and Safety Analysis

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doi10.1007/978-3-031-62470-4_17

openalex_workW4400869317

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