声明 发表于 2025-3-28 17:05:27
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http://reply.papertrans.cn/84/8309/830818/830818_42.pngTrabeculoplasty 发表于 2025-3-29 00:35:22
Adam Oumar Abdel-Rahman,Olivier Levillain,Eric Totelon Sickness, Stress and Risk perception in 3D Environments and Multisensory interaction; VR experiences; Natural Language Processing and AI Explainability; Online Collaboration and Cooperative work; Recommendation Systems and AI Explainability; Social AI; Social and Ubiquitous Computing; Social MediREIGN 发表于 2025-3-29 05:28:35
Huiyao Dong,Igor Kotenkowere able to suggest novel mechanisms for monetization, new monetization possibilities developers could consider, and ways in which the experience of monetization mechanisms for players could be improved. We hope this work can help prompt discussion around participatory approaches for monetization a出血 发表于 2025-3-29 08:25:29
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Akram Idani,Yves Ledru,German Vegang an adequate trust level can lead to safer and more natural collaboration. In this paper, we develop a robot trust model that allows the robot to reason about past interactions and use them to update its current belief about the human intentions. Using this model, the robot decides on how much toachlorhydria 发表于 2025-3-29 16:22:21
A Review of the Progressive Odyssey of AI-Driven Intrusion Detection Within Embedded Systems, and interpretability concerns of employing machine and deep learning. Moreover, a feasible framework to address all the ES resource constraints is lacking. Future recommendations include solutions to enhance such models’ security, privacy, and interoperability. Moreover, it includes the employmentTRAWL 发表于 2025-3-29 21:56:39
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Formalizing for Proving the System Safety of the Software Component for a Small Sized Guided Transpoions..The Why3 prover is integrated into the development process, allowing for the verification of system properties and the generation of proof obligations. This enhances the assurance of the system’s correctness and compliance with safety requirements..The combination of the Rodin platform, which