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Titlebook: Applications of Computing and Communication Technologies; First International Ganesh Chandra Deka,Omprakash Kaiwartya,Priyanka R Conferenc

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樓主: 臉紅
11#
發(fā)表于 2025-3-23 11:40:01 | 只看該作者
12#
發(fā)表于 2025-3-23 16:41:35 | 只看該作者
Trending Pattern Analysis of Twitter Using Spark Streamingg’. These hashtag patterns allow the people to follow the discussions on particular brand, event or any promotion. These hashtags are used by many companies as a signature tag to gain popularity of their brand on social networking platforms.
13#
發(fā)表于 2025-3-23 20:19:58 | 只看該作者
Item-Based Collaborative Filtering Using Sentiment Analysis of User Reviews is used by an item based collaborative filtering system to improve the recommendations and filter out items with overall negative user opinion. The performance of the proposed system is compared with previous work done in this field.
14#
發(fā)表于 2025-3-24 01:08:03 | 只看該作者
Coarse-Grain Localization in Underwater Acoustic Wireless Sensor Networkseloped a localization scheme for Underwater Sensor Networks which gives a Coarse-Grain location information of the sensor nodes. The simulation results show that with a less energy consumption more than . of underwater sensor nodes can be localized by the proposed scheme.
15#
發(fā)表于 2025-3-24 04:56:23 | 只看該作者
16#
發(fā)表于 2025-3-24 10:14:03 | 只看該作者
David Flynn,James Myers,Seng Tohpending upon the input size and Hadoop Distributed File System (HDFS) block size. The outcome of research analysis for heterogeneous cluster configurations indicates the prospective of the framework, as well as of mappers and reducers that affect its performance.
17#
發(fā)表于 2025-3-24 11:03:30 | 只看該作者
https://doi.org/10.1007/978-3-030-78184-2l for data leakages. The implemented prototype supports a privacy-preserving exchange of Electronic Health Records that can be hosted by untrusted cloud providers, as well as detecting leakages made by insiders.
18#
發(fā)表于 2025-3-24 14:56:39 | 只看該作者
Financial Time Series Forecasting Using Deep Learning Networkimental results have been computed on two different time series data that is Gold Price and Crude Oil Price. The results indicate that the implemented model outperforms existing models in terms of qualitative parameters such as mean square error (MSE).
19#
發(fā)表于 2025-3-24 21:08:09 | 只看該作者
20#
發(fā)表于 2025-3-24 23:45:57 | 只看該作者
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