Cloud computing is the most recent smart city advancement, made possible by the
increasing volume of heterogeneous data produced by apps. More storage capacity and …

Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …

Maximizing the security of the cloud system is most important need of this world. Similarly,
the data controllers are also increased stealing the sensitive and personal data from the …

The cloud is a widely used technology for inter-organizational data exchange and managing
digital information. Even though it offers significant potential for user convenience it is …

Data mining and quantum computing have become potent methods for analyzing massive
datasets and gaining insightful conclusions. However, conventional techniques for data …

Background: Cloud computing (CC) is a disruptive computing paradigm that uses networked
systems, notably the Internet, to provide shared resources and services. Its use has been …

The cloud is a widely used technology for inter-organizational data exchange and managing
digital information. Even though it offers significant potential for user convenience it is …

When it comes to delivering IT services to businesses or consumers, the cloud provides a
scalable, reliable, and cost-effective option. However, there is an increased risk associated …

A key concern in large-scale dense wireless sensor networks is the efficient usage of energy
(WSNs). There is a better likelihood of redundant data due to more number of nodes within …

This paper suggests a new approach to enhancing waste classification performance using
deep learning algorithms. Specifically, the proposed approach integrates an autoencoder …