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Titlebook: Airy and Other Analytical Waves for Beginners; Juan J. Mu?oz-Perez,Antonio Contreras-de-Villar,Pi Textbook 2025 The Editor(s) (if applicab

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樓主: ED431
21#
發(fā)表于 2025-3-25 06:23:57 | 只看該作者
22#
發(fā)表于 2025-3-25 09:33:06 | 只看該作者
23#
發(fā)表于 2025-3-25 12:39:54 | 只看該作者
Clinical Usefulness,e model beneficial in clinical practice to guide diagnostic work-up, or decision making, on therapy. For such decisions, we need a cutoff for the predicted probability (“decision threshold,” or “classification cutoff,” see Chap. 2). Patients with predictions above the cutoff are classified as positi
24#
發(fā)表于 2025-3-25 18:22:10 | 只看該作者
25#
發(fā)表于 2025-3-25 20:50:03 | 只看該作者
When Multi-hop Peer-to-Peer Lookup Mattersizations. Some of these systems also require data permanence. This paper presents an analysis of when these optimizations are useful. We conclude that the multi-hop optimizations make sense only for truly vast and very dynamic peer networks. We also observe that resource trends indicate this scale i
26#
發(fā)表于 2025-3-26 03:11:29 | 只看該作者
Streamlined Life Cycle Assessment for the Environmental Evaluation of Products in the Supply Chain(responsible production and consumption). In order to meet the objective, a bibliographical review was performed; afterwards, those cases that fulfilled the criteria were subject to a deeper analysis. The relationship of supply chains in the context of SDG and streamlined LCA was examined as well. T
27#
發(fā)表于 2025-3-26 07:40:00 | 只看該作者
28#
發(fā)表于 2025-3-26 08:50:31 | 只看該作者
Tightness of the Sequence of Empiric C.D.F. Processes Defined from Regression Fractiles, and has obvious application to goodness-of-fit tests for the error distribution. It also suggests that using this estimate may be better than using the empirical distribution of residuals when applying “bootstrap” methods.
29#
發(fā)表于 2025-3-26 14:01:29 | 只看該作者
30#
發(fā)表于 2025-3-26 19:19:48 | 只看該作者
Parallel Stream Processing with MPI for Video Analytics and Data Visualizationdynamic task distribution achieved better performance than the static distribution in the HPC cluster. The data visualization achieved lower throughput with respect to the video analytics due to the I/O intensive operations. Also, the MPI programming model shows promising performance outcomes for stream processing applications.
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