Dynamic backhaul resource allocation in wireless networks using artificial neural networks

2013 ◽  
Vol 49 (8) ◽  
pp. 539-541 ◽  
Author(s):  
I. Loumiotis ◽  
T. Stamatiadi ◽  
E. Adamopoulou ◽  
K. Demestichas ◽  
E. Sykas
2019 ◽  
Vol 21 (4) ◽  
pp. 3039-3071 ◽  
Author(s):  
Mingzhe Chen ◽  
Ursula Challita ◽  
Walid Saad ◽  
Changchuan Yin ◽  
Merouane Debbah

Author(s):  
Steven Walczak

Artificial neural networks (ANNs) have proven to be efficacious for modeling decision problems in medicine, including diagnosis, prognosis, resource allocation, and cost reduction problems. Research using ANNs to solve medical domain problems has been increasing regularly and is continuing to grow dramatically. This chapter examines recent trends and advances in ANNs and provides references to a large portion of recent research, as well as looking at the future direction of research for ANN in medicine.


2022 ◽  
pp. 1491-1509
Author(s):  
Steven Walczak

Artificial neural networks (ANNs) have proven to be efficacious for modeling decision problems in medicine, including diagnosis, prognosis, resource allocation, and cost reduction problems. Research using ANNs to solve medical domain problems has been increasing regularly and is continuing to grow dramatically. This chapter examines recent trends and advances in ANNs and provides references to a large portion of recent research, as well as looking at the future direction of research for ANN in medicine.


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