A Systematic Literature Review
Cognitive radio (CR) was coined to address evolving user needs two decades ago. Since then, it also has been considered a way […]
Enhance data collection process of a UAV-aided low power iot wireless sensor network
Amalgamation of low power IoT devices in Wireless Sensor Networks (WSNs) has enhanced the usage of WSNs as it lessens the requirements […]
Rethinking the ST-GCNs for 3D skeleton-based human action recognition
The skeletal data has been an alternative for the human action recognition task as it provides more compact and distinct information compared […]
Vision-Based Multi-Modal Framework for Action Recognition
Human activity recognition plays a central role in the development of intelligent systems for video surveillance, public security, health care and home […]
Application of Deep Learning to Sphere Decoding for Large MIMO Systems
Although the sphere decoder (SD) is a powerful detector for multiple-input multiple-output (MIMO) systems, it has become computationally prohibitive in massive MIMO […]
Computing stable resultant-based minimal solvers by hiding a variable
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry […]
Light-based Internet of Things
In the near future, with the development of 5G NR, a massive number of IoT nodes are expected to come online. Acquiring […]
Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network
This study investigates power-domain non-orthogonal multiple access based wireless information exchange process. The investigation considers a dual-hop non-regenerative full-duplex wireless one-way relaying […]
Combined Invariants to Gaussian Blur and Affine Transformation
The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be […]
Learning non-rigid surface reconstruction from spatio-temporal image patches
We present a method to reconstruct a dense spatiotemporal depth map of a non-rigidly deformable object directly from a video sequence. The […]