Relaying in the Internet of Things (IoT): A survey
The deployment of relays between Internet of Things (IoT) end devices and gateways can
improve link quality. In cellular-based IoT, relays have the potential to reduce base station …
improve link quality. In cellular-based IoT, relays have the potential to reduce base station …
Block error rate analysis of short-packet mobile-to-mobile communications over correlated cascaded fading channels
This paper thoroughly investigates the performance of short-packet communications over
cascaded fading channels that have a variety of applications in mobile-to-mobile (M2M) …
cascaded fading channels that have a variety of applications in mobile-to-mobile (M2M) …
Performance analysis of MIMO-HARQ assisted V2V communications with keyhole effect
Vehicle-to-vehicle (V2V) communications under dense urban environments usually
experience severe keyhole fading effect especially for multi-input multi-output (MIMO) …
experience severe keyhole fading effect especially for multi-input multi-output (MIMO) …
Performance analysis of dual-hop AF cognitive relay networks with best selection and interference constraints
In this paper, a dual-hop underlay cognitive relay network (CRN) with a best-relay selection
(BRS) scheme under spectrum-sharing constraints from the primary user (PU) is …
(BRS) scheme under spectrum-sharing constraints from the primary user (PU) is …
Shallow learning vs. deep learning in engineering applications
In this chapter, the application of machine learning (ML) in various engineering domains has
ushered in transformative advancements, offering solutions to intricate problems and paving …
ushered in transformative advancements, offering solutions to intricate problems and paving …
[HTML][HTML] An Improved Neural Network Model Based on DenseNet for Fabric Texture Recognition
L Tan, Q Fu, J Li - Sensors, 2024 - mdpi.com
In modern knitted garment production, accurate identification of fabric texture is crucial for
enabling automation and ensuring consistent quality control. Traditional manual recognition …
enabling automation and ensuring consistent quality control. Traditional manual recognition …
Secure Performance of RIS-Aided NOMA in Cognitive V2X Networks With Imperfect CSI over Double Rayleigh Fading
Cognitive non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface
(RIS) have been envisioned as two promising technologies for vehicle to everything (V2X) …
(RIS) have been envisioned as two promising technologies for vehicle to everything (V2X) …
Performance analysis and optimization of energy harvesting cognitive multi-hop relay network over mixed Rayleigh and double-Rayleigh fading channels
Y Luo, L Zhou, J Dong, Y Sun, K **, J Xu… - AEU-International Journal …, 2022 - Elsevier
In this paper, we investigate the outage performance of an energy harvesting underlay
cognitive multi-hop relay network. In the network, energy-constrained secondary network …
cognitive multi-hop relay network. In the network, energy-constrained secondary network …
Deep Learning for MANET routing
Power control and scheduling are among the most well-known resource allocation
challenges in wireless networks, and are often solved as optimization problems with …
challenges in wireless networks, and are often solved as optimization problems with …
A DenseNet‐based feature weighting convolutional network recognition model and its application in industrial part classification
K An, X Sun, Y Song, Y Lu… - IET Image Processing, 2024 - Wiley Online Library
Traditional warehousing typically needs machine learning or manual tagging to classify
objects. However, this method is less robust and consumes a lot of labour and material …
objects. However, this method is less robust and consumes a lot of labour and material …