The major goal of a secure coding is to enable the authentic receiver could successfully recover the original message from the source. However. the satellite communications provide an open wireless environment. It har...
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This paper presents an approach for cybercriminal profiling using pre-trained DistilBert, LSTM, and BERT models. By analyzing criminal behaviors and linking them to offender characteristics, the proposed method utiliz...
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Due to the character of low cost and easily to implemented, the cooperative communication is the future tendency. Three fundamental mode, Amplify-and-Forward (AF) mode, Decode-and-Forward (DF) mode and Compress and Fo...
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In this paper, we identify major components assessed in the evaluation of the community of practice (CoP) formed for project management in software engineering classroom environment. Given the components, we also desi...
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VR can be used for creating situated learning environment, so most of research focused on applying VR on teaching and learning. Nevertheless, learning new info.mation technology, including VR, is the educational targe...
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Breast cancer, being the most pervasive malignancy globally, poses a substantial threat to the well-being of the female population. Given the pronounced heterogeneity in survival times among affected individuals, a co...
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By far, the most effective knowledge assessment in college education is to give students exam and grade their answers then assess their level of understanding. However, exam grading can be time-consuming, tedious, cum...
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ISBN:
(数字)9798350391954
ISBN:
(纸本)9798350391961
By far, the most effective knowledge assessment in college education is to give students exam and grade their answers then assess their level of understanding. However, exam grading can be time-consuming, tedious, cumbersome, and sometimes the grading results are not consistent with the rubric. Here, we propose an AI based exam grader that can not only ease educators’ burden but also produce accurate, consistent, and precise grading results. We have used GPT-3.5, GPT-4.0, and Gemini-pro, respectively, as our grading engine. To verify the correctness, precision, and accuracy of our proposed grader, the results were compared with the instructor’s grading result and also with human grader such as teaching assistants. In our experiment, GPT-4.0 showed the most reliable and consistent results.
In the networks, Situation Awareness (SA) is a new concerned issue for the security. Usually, SA implementation includes three stages. They are the knowledge of SA, the situation estimation of SA and the situation pre...
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For a secure communication, it enables the destination could successfully release the authentic info.mation from the sender. At the meantime, a secure system protects the transmitted info.mation from the eavesdroppers...
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This paper addresses the lack of research on periodic reinfo.cement learning for physical robot control by presenting a 3-phase periodic Bayesian reinfo.cement learning method for uncertain environments. Drawing on co...
This paper addresses the lack of research on periodic reinfo.cement learning for physical robot control by presenting a 3-phase periodic Bayesian reinfo.cement learning method for uncertain environments. Drawing on cognition theory, the proposed approach achieves effective convergence with fewer training episodes. The coach-based demonstration phase narrows the search space and establishes a foundation for a coarse-to-fine control strategy. The reconnaissance phase enhances adaptability by discovering a valuable global repre-sentation, and the operation phase produces accurate robotic control by applying the learned representation and periodically updating local info.mation. Comparative analysis with state-of-the-art methods validates the efficacy of our approach on exemplar control tasks in simulation and a biomedical project involving a simulated cranial window task.
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