In the context of digital transformation in the occupational health and safety sector, this research focuses on the efficacy of Virtual Reality training tools in ensuring workplace safety during maintenance activities. A comprehensive methodology, including focus groups and workshops, is utilized...
04b Atto di convegno in volume
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In the looming paradigm shift from linear to circular economy (CE) the road map for companies is fraught with challenges to integrate circular targets into business strategy. The transition to a circular model requires the company to upskill and/or reskill additional capabilities for transiting to...
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This study presents an innovative training tool based on the digitalization of ISO/TR 12295 and ISO 11228-1 standards. It utilizes Computer Vision techniques to enhance the training of operators in lifting and carrying tasks, addressing the prevalent issue of musculoskeletal disorders (MSDs) in...
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In-Space Manufacturing (ISM) involves the production of goods directly in the space environment. This is a paradigm shift from traditional Earth-based manufacturing. The paper aims to identify a structured research pathway to assess the opportunities of ISM from a supply chain perspective....
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This paper examines the enhancement of occupational safety and health (OSH) training in manufacturing through the integration of Safety-II prin-ciples within a Virtual Reality (VR) training framework, applying the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Amidst...
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In the context of digital transformation in the occupational health and safety sector, this research focuses on the efficacy of Virtual Reality training tools in ensuring workplace safety during maintenance activities. A comprehensive methodology, including focus groups and workshops, is utilized...
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This study presents an innovative training tool based on the digitalization of ISO/TR 12295 and ISO 11228-1 standards. It utilizes Computer Vision techniques to enhance the training of operators in lifting and carrying tasks, addressing the prevalent issue of musculoskeletal disorders (MSDs) in...
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We show that a maximum likelihood approach for parameter estimation in agent-based models (ABMs) of opinion dynamics outperforms the typical simulation-based approach. Simulation-based approaches simulate the model repeatedly in search of a set of parameters that generates data similar enough to...
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Annually, at the Conference of Machine Translation (WMT), the Metrics Shared Task organizers conduct the Machine Translation (MT) meta-evaluation, assessing MT metrics' capabilities according to their correlation with human judgments. Their results guide researchers toward enhancing the next...
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Recent advancements in text summarization, particularly with the advent of Large Language Models (LLMs), have shown remarkable performance. However, a notable challenge persists as a substantial number of automatically-generated summaries exhibit factual inconsistencies, such as hallucinations. In...