Abstract: The proposed research aim is to utilise watermarking algorithms for enhancing the Peak Signal-to-Noise Ratio in the encapsulation of medical images, facilitating a comparison with the ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
The demand for power consumed by data centers is expected to more than double from 292 terawatt-hours (TWh) in 2026 to 606 TWh by 2030, according to McKinsey & Company. In percentage terms of total ...
The llvm-21-tools package ships a test file that contains non-UTF-8 characters without an encoding declaration, causing package installation to fail with Python 3.14. This occurs during package ...