RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks

Unsupervised multimodal neural networks

Alternating Projection Neural Networks

We consider a class of neural networks whose performance can be analyzed and geometrically visualized in a signal space environment. Alternating projection neural networks (APNN’s) perform by alternatively projecting between two or more constraint sets. Criteria for desired and unique convergence are easily established. The network can he configured as either a content addressable memory or cla...

Sum-Rate Maximization Based on Power Constraints for Cooperative AF Relay Networks

In this paper, our objective is maximizing total sum-rate subject to power constraints on total relay transmit power or individual relay powers, for amplify-and-forward single-antenna relay-based wireless communication networks. We derive a closed-form solution for the total power constraint optimization problem and show that the individual relay power constraints optimization problem is a quad...

Minimum Throughput Maximization in UAV-Aided Wireless Powered Communication Networks

This paper investigates unmanned aerial vehicle (UAV)-aided wireless powered communication network (WPCN) systems where a mobile access point (AP) at the UAV serves multiple energyconstrained ground terminals (GTs). Specifically, the UAVs first charge the GTs by transmitting the wireless energy transfer (WET) signals in the downlink. Then, by utilizing the harvested wireless energy from the UAV...

Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis

Artificial neural networks (ANNs) play an essential role in the medical imaging field, including medical image analysis and computer-aided diagnosis (CAD) (Doi 2005; Giger and Suzuki 2007), because objects such as lesions and organs in medical images may not be represented accurately by a simple equation. For example, a lung nodule is generally modeled as a solid sphere, but there are nodules o...