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Related Concept Videos

Survey Safety01:28

Survey Safety

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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Updated: Jan 13, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Machine learning applications for predicting safety incidents in construction industry

Saleh Alsulamy1, Mohamed Alshayeb2, Inamullah Inam3

  • 1Architecture Department, College of Architecture and Planning Department, King Khalid University, Asser, 394, Abha, Kingdom of Saudi Arabia. s.alsulamy@kku.edu.sa.

Scientific Reports
|January 10, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Construction industryFatality rateMachine learningSafety incidents

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