Optical revelation of defects in epitaxial barium titanate films
Allying epitaxial strain and synthesis conditions allows for the introduction of specific point defects in perovskite oxide films. In ferroelectric films, such […]
Measurement Data Based Study on the Intra-body Propagation in the Presence of the Sternotomy Wires and Aortic Valve Implant
This paper presents a comprehensive study on the impact of sternotomy wires and a medical implant on the ultra-wideband (UWB) channel characteristics […]
Optimization model for cross-domain network slices in 5g networks
Network Slicing (NS) is a key enabler of the upcoming 5G and beyond system, leveraging on both Network Function Virtualization (NFV) and […]
Moving Photovoltaic Installations
This paper investigates the impact of the solar radiation level on the available output power of moving photovoltaic (PV) installations with the […]
Joint Path Selection and Rate Allocation Framework for 5G Self-Backhauled mm-wave Networks
Owing to severe path loss and unreliable transmission over a long distance at higher frequency bands, this paper investigates the problem of […]
Optical Control of Ferroelectric Domains
Domain wall nanoelectronics constitutes a potential paradigm shift for next‐generation energy conversion and von‐Neumann devices. In this context, attempts have been made […]
3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain
The brain is cleaned from waste by glymphatic clearance serving a similar purpose as the lymphatic system in the rest of the […]
Power Control via Stackelberg Game for Small-Cell Networks
In this paper, power control in the uplink for two-tier small-cell networks is investigated. We formulate the power control problem as a […]
Texture Classification in Extreme Scale Variations Using GANet
Research in texture recognition often concentrates on recognizing textures with intraclass variations, such as illumination, rotation, viewpoint, and small-scale changes. In contrast, […]
Zero-shot learning via recurrent knowledge transfer
Zero-shot learning (ZSL) which aims to learn new concepts without any labeled training data is a promising solution to large-scale concept learning. […]