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Machine learning in Occupational Safety and Health - a systematic review

Maheronnaghsh, S; Zolfagharnasab, H; Gorgich, M; Duarte, J

<jats:p>With the development of technology, machine learning (ML), a branch of computer science that aims to turn computers into decision-making agents using the most appropriate algorithms, is also paving its way in the modern world. This systematic review arises from the need to understand the impact and report the best practices for applying ML in occupational safety and health. The Preferred Reporting Items...


A new label-free technique for analysing evaporation induced self-assembly of v...

Ghaeli, I; Hosseinidoust, Z; Zolfagharnasab, H; Monteiro, FJ

Nanoparticle self-assembly is a complex phenomenon, the control of which is complicated by the lack of appropriate tools and techniques for monitoring the phenomenon with adequate resolution in real-time. In this work, a label-free technique based on dark-field microscopy was developed to investigate the self-assembly of nanoparticles. A bio-nanoparticle with complex shape (T4 bacteriophage) that self-assembles...


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