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Titlebook: Visual Studio Extensibility Development; Extending Visual Stu Rishabh Verma Book 2024Latest edition Rishabh Verma 2024 Visual studio.extens

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41#
發(fā)表于 2025-3-28 17:08:38 | 只看該作者
Rishabh Vermaristic technique to configure the parameters of the neural network. The parameter taken into account in this work is the learning rate of the Adam optimizer. In this study, we have presented the ant colony optimization (ACO) technique to determine the ideal learning rate for model training. Experime
42#
發(fā)表于 2025-3-28 21:31:47 | 只看該作者
Rishabh Vermae, threatening public interest and trust in AIED systems. Overall, the discussion concludes that prioritizing collaboration with marginalized stakeholders for designing AIED systems while critically examining our definitions of representation and fairness will likely strengthen our research communit
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發(fā)表于 2025-3-29 01:28:18 | 只看該作者
44#
發(fā)表于 2025-3-29 03:38:04 | 只看該作者
Rishabh Vermag a comprehensive dataset of blood test results obtained from the Welsh Results Reports Service (WRRS) accessed through the Secure Anonymised Information Linkage (SAIL) Databank. By utilizing longitudinal dataset and employing machine learning techniques, namely Long Short-Term Memory (LSTM) and Bid
45#
發(fā)表于 2025-3-29 09:20:01 | 只看該作者
Rishabh Vermapling were used to assess the stability of findings in the presence of partial verification. Both regularized logistic regression and random-forest-based models resulted in acceptable performance (area under the curve: 0.763 and 0.758 respectively), with minimal changes in the auxiliary analyses. Th
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