Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
A Majeed - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …
analytics/data-mining purposes while preserving the privacy of the personal information …
[PDF][PDF] Secured Framework for Assessment of Chronic Kidney Disease in Diabetic Patients.
SM Aldossary - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
With the emergence of cloud technologies, the services of healthcare systems have grown.
Simultaneously, machine learning systems have become important tools for developing …
Simultaneously, machine learning systems have become important tools for developing …
Wireless Sensor Networks Consistent and Honest Routing Scheme
A Vijayaraj, B Reethika, K Santhiya… - 2023 International …, 2023 - ieeexplore.ieee.org
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 …
(WSNs). There is a better likelihood of redundant data due to more number of nodes within …
Organic and Recyclable Waste Classification Using Integrated Feature Selection Method
A Vijayaraj, S Shreya, G Deepana… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper suggests a new approach to enhancing waste classification performance using
deep learning algorithms. Specifically, the proposed approach integrates an autoencoder …
deep learning algorithms. Specifically, the proposed approach integrates an autoencoder …