This paper provides an overview of the different deep convolutional neural network (DCNNs) architectures that have been investigated in past years for generation synthetic computed tomography (CT) or pseudo-CT from magnetic resonance (MR). The U-net, Atrous-net and Residual-net were analyzed, implemented compared. Each was using 2D filters 3D with slices patches respectively as inputs. Two data...

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive Neuro- Fuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of Magneto- Rheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavi...

I was only a child when Dr Carleton Gajdusek, Michael Alpers and Shirley Lindenbaum conducted research on kuru in the South Fore. They patrolled around the villages and saw how many of our people were dying of kuru and the number of orphans in our villages. My late brother, Mr Animo Kaguya, was the only member of our family involved in the early research on kuru; he assisted in carrying equipme...