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Timothy Tadj, Reza Arablouei and Volkan Dedeoglu
Data trust in IoT is crucial for safeguarding privacy, security, reliable decision-making, user acceptance, and complying with regulations. Various approaches based on supervised or unsupervised machine learning (ML) have recently been proposed for evalu...
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Kesavan Manoharan, Pujitha Dissanayake, Chintha Pathirana, Dharsana Deegahawature, Renuka Silva
This study primarily identifies the knowledge gaps that must be filled to apply conceptualised methods for rising and benchmarking productivity levels of various construction operational tasks. Accordingly, this study intended to evaluate labour producti...
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Khansa Chemnad, Sameha Alshakhsi, Mohamed Basel Almourad, Majid Altuwairiqi, Keith Phalp and Raian Ali
Most studies that claimed changes in smartphone usage during COVID-19 were based on self-reported usage data, e.g., that collected through a questionnaire. These studies were also limited to reporting the overall smartphone usage, with no detailed invest...
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Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D?Eramo, Jan Peters and Joni Pajarinen
Reinforcement learning with sparse rewards is still an open challenge. Classic methods rely on getting feedback via extrinsic rewards to train the agent, and in situations where this occurs very rarely the agent learns slowly or cannot learn at all. Simi...
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Sachin Sharma, Saish Urumkar, Gianluca Fontanesi, Byrav Ramamurthy and Avishek Nag
In computer networking, simulations are widely used to test and analyse new protocols and ideas. Currently, there are a number of open real testbeds available to test the new protocols. In the EU, for example, there are Fed4Fire testbeds, while in the US...
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