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Titlebook: Disruptive Technologies for Big Data and Cloud Applications; Proceedings of ICBDC J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Confer

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發(fā)表于 2025-3-28 17:45:54 | 只看該作者
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發(fā)表于 2025-3-28 19:38:49 | 只看該作者
Organization as Collective Rule-Makingd systolic and diastolic blood pressure (BP). The proposed system comprises of PPG sensor which consists of LED and photodiode set up to acquire pulse signals. The signal processing tools have been used to process the real-time signal and extract the desired features to measure patient vital paramet
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發(fā)表于 2025-3-28 22:56:24 | 只看該作者
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發(fā)表于 2025-3-29 05:17:51 | 只看該作者
Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/e/image/281602.jpg
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發(fā)表于 2025-3-29 08:50:40 | 只看該作者
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發(fā)表于 2025-3-29 17:44:49 | 只看該作者
Disruptive Technologies for Big Data and Cloud Applications978-981-19-2177-3Series ISSN 1876-1100 Series E-ISSN 1876-1119
48#
發(fā)表于 2025-3-29 22:45:09 | 只看該作者
A Statistical Performance Analysis of GPU WAH Range Querying,nderlying data. Bitmap indices are highly compressible and can be queried using fast hardware-enabled logical operations. Recent work has shown that graphical processing units (GPUs) can process bitmap index queries more efficiently than CPUs in many instances. This paper presents a statistical perf
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發(fā)表于 2025-3-30 01:46:51 | 只看該作者
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發(fā)表于 2025-3-30 05:34:08 | 只看該作者
An Optimized K-means Clustering Approach on Top of MapReduce,arge (structured and unstructured) datasets. K-means is one of the most popular cluster analysis techniques which has been widely adopted to solve many critical problems due to its simplicity and time efficiency compared to other clustering techniques. Nonetheless, K-means suffers from several drawb
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