Education and Learning Technologies
Early detection of kidney illness can be achieved by training machine learning algorithms to discover patterns in patient data, such as imaging, test results, and medical history. This will enable rapid diagnosis and start of treatment regimens, which can improve patient outcomes. With 98.97% accuracy in CKD detection, the suggested TrioNet with KNN imputer and SMOTE fared better than other models. This comprehensive research highlights the model's potential as a useful tool in the diagnosis of chronic kidney disease (CKD) and highlights its capabilities.
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With the goal of enhancing future views of the Metaverse as an educational tool, this research examines its adoption by higher education institutions through a theoretical lens. The launch of this technology in the higher education sector has occurred relatively recently, yet there have been few efforts to evaluate its impact. The purpose of this research is to examine what variables affect the continuous intention (CI) to utilize the educational Metaverse by combining the technology acceptance model (TAM) with self-determination theory (SDT).
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Simulation of the matrix-scaled consensus algorithm [1,2] on the network derived from the dataset socfb-Amherst41 [3,4].
References
[1] Trinh, M. H., Vu, D. V., Tran, Q. V., and Ahn, H.-S. "Matrix-scaled consensus." In Proc. of the 61st IEEE Conference on Decision and Control (CDC), pp. 346-351. IEEE, 2022. arXiv preprint arXiv:2204.10723 (2022)
[2] Trinh, M. H., Vu, H. H., Le-Phan, N.-M., and Nguyen, Q. N. "Matrix-Scaled Consensus over Undirected Networks." arXiv preprint arXiv:2303.14751 (2023).
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This work presents a new labeled dataset of videos with native and professional interpreters articulating words and expressions in Libras (Brazilian Sign Language). We used a methodology based on related studies, the support of the team of articulators, and the existing datasets in the literature.
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This dataset comprises audio recordings of ultra-high-frequency ambient noise stored in the lossless waveform format (WAW). The recordings were sampled at a frequency sample rate of 2.048 MHz and then provided at a downsampled audio rate of 48 kHz for compatibility and practical usage. The total length of the dataset is 01:30:29, consisting of approximately 260 million data points. (2024-03-30)
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taken from a manta-ro experiment in five psychiatric patients after physical remediation, and the images were cut (documented by the Ethics Committee, WHO)
This dataset has sorted out formats that are suitable for classification and recognition using CNN.
By drawing a mandala pattern, participants can project their inner emotions, potential beliefs, and inner worlds
This is a magical adventure that crosses the boundaries of the mind. This article will delve into the background, methods, and possible interpretations of the projected test for Mandalay painting
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This dataset emerges from an educational experiment designed to evaluate the effectiveness of a Blockly-based tool in teaching Solidity, the predominant language for the creation of smart contracts on the Ethereum blockchain. Students from a Master's degree in Information Systems Engineering participated and used this tool with the aim of mitigating the learning curve of Solidity. The dataset includes metrics on student satisfaction with using the tool.
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Student learning willingness is the decisive factor for achieving the final learning outcomes in curriculum teaching. On the other hand, the final learning outcomes achieved by students in the curriculum are a true reflection of student learning willingness. This paper selects 6 types of theoretical teaching method data and 4 types of student engagement behavior data used in the teaching process of the "Computer Systems" course in the Software Engineering major of Information Engineering School in the academic years 2021, 2022, and 2023 as the basic data.
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This dataset contains the 100 level first semester results of 229 students in South East University in Nigeria. The average score for each student is computed based on 8 courses offered in that semester. The dataset contains both the CA and Exam scores respectively. The CA amd Exam score were subsequently conveerted to percentage
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