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Titlebook: Big Data and Cloud Computing; Select Proceedings o Neelanarayanan Venkataraman,Lipo Wang,Ahmed F. Zob Conference proceedings 2023 The Edito

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樓主: MIFF
11#
發(fā)表于 2025-3-23 12:48:43 | 只看該作者
Snooping for Fake News: A Cascaded Approach Using Stance Detection and Entailment Classificationved and vanishing journalistic integrity, the spreading of unverified news, also called “fake news,” has become commonplace, often with long-lasting consequences to society. In these times of “digital deceit,” identifying fake news has become very important. This paper proposes a two-step approach u
12#
發(fā)表于 2025-3-23 17:40:25 | 只看該作者
Early Planning of Virtual Machines to Servers in Cloud Server Farms is an Approach for Energy-Efficise. This is huge in light of the fact that power utilization by mechanical apparatus has surpassed 40?k TWh in 2021 from 10?k TWh in 2000 and is expanding step by step. Server farms in the Cloud processing climate have involved a significant imperative situation in this class of mechanical hardware.
13#
發(fā)表于 2025-3-23 21:47:43 | 只看該作者
14#
發(fā)表于 2025-3-23 23:22:27 | 只看該作者
Achieving Sustainability by Rectifying Challenges in IoT-Based Smart Citiesnts of people migrating toward smart cities have increased the requirements of a sustainable smart city with the assistance of cloud-based Internet of Things (IoT) devices such as active sensors and smartphones. When implementing these cloud applications that are IoT-based, there are several challen
15#
發(fā)表于 2025-3-24 06:00:25 | 只看該作者
16#
發(fā)表于 2025-3-24 08:33:52 | 只看該作者
https://doi.org/10.1007/978-3-662-64340-2metrics such as mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and accuracy. The objective of this comparative study is to help investors take better decisions based on the consistent results provided by the algorithmic models.
17#
發(fā)表于 2025-3-24 11:21:34 | 只看該作者
18#
發(fā)表于 2025-3-24 17:06:43 | 只看該作者
Stock Market Prediction Using Machine Learning Techniques: A Comparative Studymetrics such as mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and accuracy. The objective of this comparative study is to help investors take better decisions based on the consistent results provided by the algorithmic models.
19#
發(fā)表于 2025-3-24 22:53:49 | 只看該作者
20#
發(fā)表于 2025-3-25 01:26:44 | 只看該作者
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