Resource Allocation for Infrastructure Resilience using Artificial Neural Networks

Author(s):  
Siavash Alemzadeh ◽  
Hesam Talebiyan ◽  
Shahriar Talebi ◽  
Leonardo Duenas-Osorio ◽  
Mehran Mesbahi
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.


2013 ◽  
Vol 49 (8) ◽  
pp. 539-541 ◽  
Author(s):  
I. Loumiotis ◽  
T. Stamatiadi ◽  
E. Adamopoulou ◽  
K. Demestichas ◽  
E. Sykas

Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  

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