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Titlebook: IRC-SET 2021; Proceedings of the 7 Huaqun Guo,Hongliang Ren,Umayal Lakshmanan Conference proceedings 2022 The Editor(s) (if applicable) and

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樓主: commotion
21#
發(fā)表于 2025-3-25 06:17:24 | 只看該作者
Xin Ru Ng,Maekayla Yen-C Lee,Xinyue Wang,Phyo Wai Aung Aung, the region functions as an engine of innovation for maritime capacity building more widely. The lessons and best practices from the region have importance consequences for addressing maritime security across the globe.978-3-030-50066-5978-3-030-50064-1
22#
發(fā)表于 2025-3-25 10:40:09 | 只看該作者
23#
發(fā)表于 2025-3-25 11:38:51 | 只看該作者
24#
發(fā)表于 2025-3-25 17:10:01 | 只看該作者
Investigating the Effectiveness of Non-pharmaceutical Interventions on COVID-19,wo new semi-mechanistic Bayesian hierarchical models to investigate this problem from different perspectives. While this further elevates model complexity, we can now compare NPIs’ effectiveness across countries. Additionally, we have fine-tuned intervention input quality by introducing more interve
25#
發(fā)表于 2025-3-25 22:22:20 | 只看該作者
26#
發(fā)表于 2025-3-26 03:45:43 | 只看該作者
Design of Underground Structures to Mitigate Effects of Soil Liquefaction,e stable the design. Structural blueprints were designed in CAD and 3D printed, then tested in a soil liquefaction simulation. This was carried out via the fluidisation of 20?kg of sieved, fine sand. The accelerations in the ., . and . planes of the simulated building, in which a brick was used, wer
27#
發(fā)表于 2025-3-26 07:31:45 | 只看該作者
28#
發(fā)表于 2025-3-26 08:51:09 | 只看該作者
Transforming and Solving Multi-channel Time Series Classification Problem Using Image Classificationt times, with many innovative models and applications having been developed to fulfill the purpose of classifying images correctly with high accuracies quickly for real-time computer vision. Image classification is a largely mature field. This paper aims to show a proof-of-concept for translating t
29#
發(fā)表于 2025-3-26 14:39:54 | 只看該作者
30#
發(fā)表于 2025-3-26 17:06:17 | 只看該作者
,Applying James–Stein Estimation to b-Bit Minwise Hashing,S estimation decreased the MSE of bBMWH for all . values investigated and especially for small . where MSE is higher. Our findings may be useful when precision is optimized over recall, e.g., spam detection. In cases where we want to estimate the pairwise resemblances for machine learning, bBMWH wit
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