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Razieh Karimi, Milad Baghalzadeh Shishehgarkhaneh, Robert C. Moehler and Yihai Fang
This systematic literature review examines the effects of social media use (SMU) and practices (SMPs) on team feedback (TF) and performance (TP) within the context of construction project management. It explores the complex interactions between SMU and S...
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Hu Cai, Jiafu Wan and Baotong Chen
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ...
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Siarhei Autsou, Karolina Kudelina, Toomas Vaimann, Anton Rassõlkin and Ants Kallaste
Servomotors have found widespread application in many areas, such as manufacturing, robotics, automation, and others. Thus, the control of servomotors is divided into various principles and methods, leading to a high diversity of control systems. This ar...
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Kadir Kuru and Deniz Artan
A successful public-private partnership (PPP) relies heavily on effective risk assessment, given the intricate risk factors and contractual arrangements involved. While quantitative risk assessment methods have received significant attention in the PPP l...
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Mahmoud Elkhodr, Samiya Khan and Ergun Gide
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring dat...
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Andreas Giannakoulopoulos, Minas Pergantis and Aristeidis Lamprogeorgos
The present study focuses on using qualitative and quantitative data to evaluate the functionality, user experience (UX), and aesthetic approach offered by an academic multi-site Web ecosystem consisting of multiple interconnected websites. Large entitie...
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Abderrazzaq Kharroubi, Zouhair Ballouch, Rafika Hajji, Anass Yarroudh and Roland Billen
Railway scene understanding is crucial for various applications, including autonomous trains, digital twining, and infrastructure change monitoring. However, the development of the latter is constrained by the lack of annotated datasets and limitations o...
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Iori Sasaki, Masatoshi Arikawa, Min Lu and Ryo Sato
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency...
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Eirini Kalaitzopoulou, Paul Matthews, Stylianos Mystakidis and Athanasios Christopoulos
Design skills are considered important in software engineering, and formative feedback may facilitate the learning process and help students master those skills. However, little is known about student usage of and reaction to the feedback and its impact ...
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Orestis Spyrou, William Hurst and Cor Verdouw
Digital Twins are digital equivalents of real-life objects. They allow producers to act immediately in case of (expected) deviations and to simulate effects of interventions based on real-life data. Digital Twin and eXtended Reality technologies (includi...
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