Neural networks in wireless networks: Techniques, applications and guidelines
The design of modern wireless networks, which involves decision making and parameter
optimization, is quite challenging due to the highly dynamic, and often unknown …
optimization, is quite challenging due to the highly dynamic, and often unknown …
A survey on projection neural networks and their applications
Constrained optimization problems arise in numerous scientific and engineering
applications, and many papers on the online solution of constrained optimization problems …
applications, and many papers on the online solution of constrained optimization problems …
Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems
We investigate the application of dynamic deep neural networks for nonlinear equalization
in long haul transmission systems. Through extensive numerical analysis we identify their …
in long haul transmission systems. Through extensive numerical analysis we identify their …
PSOTrack: A RFID-based system for random moving objects tracking in unconstrained indoor environment
Radio frequency identification (RFID) technology, with its advantages such as battery-free
tags, low cost, and scalability, has been playing an important role in many application …
tags, low cost, and scalability, has been playing an important role in many application …
Neural network-based discrete-time Z-type model of high accuracy in noisy environments for solving dynamic system of linear equations
To solve dynamic system of linear equations with square or rectangular system matrices in
real time, a discrete-time Z-type model based on neural network is proposed and …
real time, a discrete-time Z-type model based on neural network is proposed and …
Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks
This paper studies the decentralized control of multiple redundant manipulators for the
cooperative task execution problem. Different from existing work with assumptions that all …
cooperative task execution problem. Different from existing work with assumptions that all …
[HTML][HTML] Recent achievements in sensor localization algorithms
Abstract Internet Of Things (IOT) is an inevitable result of the evolution of communication and
manufacturing of small low power and effective micro electro mechanical systems (MEMS) …
manufacturing of small low power and effective micro electro mechanical systems (MEMS) …
Multi-level image thresholding by synergetic differential evolution
The multi-level image thresholding is often treated as a problem of optimization. Typically,
finding the parameters of these problems leads to a nonlinear optimization problem, for …
finding the parameters of these problems leads to a nonlinear optimization problem, for …
Vehicle localization and velocity estimation based on mobile phone sensing
CH Chen, CA Lee, CC Lo - Ieee Access, 2016 - ieeexplore.ieee.org
In recent years, smart devices have become ubiquitous. Many of these devices are
equipped with global positioning system (GPS), Wi-Fi, and other sensors. With their high …
equipped with global positioning system (GPS), Wi-Fi, and other sensors. With their high …
System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm
A bio-inspired detector based on the artificial neural network (ANN) and genetic algorithm is
proposed in the context of a coherent optical transmission system. The ANN is designed to …
proposed in the context of a coherent optical transmission system. The ANN is designed to …