Flat-Feet 发表于 2025-3-27 00:35:36

https://doi.org/10.1007/978-3-031-35542-4environment is extremely dynamic, driving performance can be affected by a wide variety of variables, there are many emerging vehicle technologies, and it involves an inherently dangerous activity being performed by humans who are prone to error. To delve further into both the persistent and emergin

calumniate 发表于 2025-3-27 05:04:59

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诱骗 发表于 2025-3-27 07:06:44

Rethinking the Arts after Hegelidents. However, the dynamic nature of construction work and workplace stress can impede safety recognition ability. Despite previous studies employing stress loading to assess workers’ safety behavior and its influence on hazard recognition among construction workers, there has been no empirical in

轻打 发表于 2025-3-27 11:19:58

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破译密码 发表于 2025-3-27 15:04:40

The General Aesthetics of Architecturetematic review is conducted by performing bibliometric analysis followed by a cluster analysis. Bibliometric metadata as well as performance metrics for key search terms were collected with the use of Scopus and Web of Science databases. Then network analysis was conducted using VOSviewer and Citesp

Limpid 发表于 2025-3-27 19:44:38

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macrophage 发表于 2025-3-28 00:59:50

Introduction: Beyond Atlantic Historyisted assembly, investigated the current research hotspots and theoretical foundations of visualization design for AR-assisted assembly, and explored the new trends of future development. Taking the relevant literature collected by Web of Science as the data source, the VOSviewer scientific bibliome

accessory 发表于 2025-3-28 03:20:33

Manuela Albertone,Antonino De Francescon China‘s major cities, ensuring the safety of passengers has become a key part of metro operation and management. However, there are some efficiency and human factors engineering deficiencies in the current metro security system. Some researchers have studied the efficiency of subway security syste

Inculcate 发表于 2025-3-28 09:49:38

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Tincture 发表于 2025-3-28 12:27:49

Can There Be a Crime of Internal Aggression?f machine learning (ML), particularly using multimodal large language models, in tracking, augmenting, annotating, and analyzing multimodal data. Building upon the foundations laid in our previous work, we explore the capabilities that have emerged over the past years. The integration of ML allows r
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