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Titlebook: Big Data Analytics in Astronomy, Science, and Engineering; 11th International C Shelly Sachdeva,Yutaka Watanobe Conference proceedings 2024

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樓主: 弄碎
41#
發(fā)表于 2025-3-28 18:35:24 | 只看該作者
Vector-Based Semantic Scenario Search for?Vehicular TrafficThis paper discusses a method for vector based scenario search using a natural language interface for describing traffic scenarios. We first generate textual descriptions of snapshots of traffic scenarios captured from instrumenting vehicles using image captioning libraries. Next, we create vector e
42#
發(fā)表于 2025-3-28 20:37:41 | 只看該作者
43#
發(fā)表于 2025-3-28 23:49:04 | 只看該作者
Vayu Vishleshan: AQI Monitoring and Reduction Analysising, and the second is AQI reduction. AQI Monitoring covers sensing particulate matter (PM), PM2.5, PM10, NO2, and CO and performing analysis over the AQI data before, during, and following Agnihotra (Yagya). According to analysis, there is an approximate 6–7% decrease in CO levels and an approximat
44#
發(fā)表于 2025-3-29 04:09:45 | 只看該作者
45#
發(fā)表于 2025-3-29 10:12:40 | 只看該作者
Introduction To Lagrangian Dynamicsow-resource languages like Kannada and rural colloquial dialects, publicly available corpora are significantly less. Building state-of-the-art AI solutions is challenging in this context, and we address this problem in this work. Knowledge management in rural communities requires a low-cost and effi
46#
發(fā)表于 2025-3-29 14:49:45 | 只看該作者
47#
發(fā)表于 2025-3-29 19:06:07 | 只看該作者
Approximation et interpolation,eral limitations: a) they operate in silos, so they only support certain types of analyses, thus complicating the biological interpretation of results; b) they are often executable only via Web interfaces, overlooking the parallelism and efficiency offered by modern supercomputers; c) functional ana
48#
發(fā)表于 2025-3-29 21:52:34 | 只看該作者
Approximation et interpolation,outperformed the one without fine-tuning with an 86.36% accuracy, 86.67% precision, 86.36% recall and 86.34% f1-score, which makes it a potential and reliable model for osteoporosis prediction. The automated diagnosis approach built on CNN can help practitioners promptly, correctly, and reliably ide
49#
發(fā)表于 2025-3-30 02:33:56 | 只看該作者
Introduction aux méthodes numériqueshout multipliers. The new algorithm uses a low-complex, non-uniform histogram gradient to compute thresholds and variable sigma values that replace the add and shift operator instead of multipliers to reduce the area and sigma. The simulation is done in the ModelSim platform using VHDL code which re
50#
發(fā)表于 2025-3-30 04:42:50 | 只看該作者
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