Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

1 Department of Engineering, University of Naples Parthenope, Naples, Italy 2 Department of Economics, Law, Cybersecurity and Sports Sciences (DiSEGIM), University of Naples Parthenope, Naples, Italy ...

At Akershus University Hospital in Norway, active surveillance (AS) is a well-established initial management approach for patients with small renal masses (SRMs), particularly those who are elderly or ...

X-ray computed tomography (CT) is widely used in clinical practice for screening and diagnosing patients, as it enables the acquisition of high-resolution images of internal tissues and organs in a ...