Besides, with the help of the ES model, we designed a new transfer algorithm for BTNs.
Using this model we designed a hardware accelerator for an image reconstruction algorithm for biomedical application.
Based on the ROBIN model, we designed and implemented tag recommendation algorithm named ROBIN-T.
Based upon our model, we designed a general architecture for collaborative creativity applications.
On the basis of the steric contour maps of the models, we designed four new compounds in the 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted 2,4-diamino-5-methyl-6-phenylsulfanyl-substituted pyrrolo[2,3-d]pyrimidine pyrrolo[2,3-d]pyrimidine
Starting from this structural model, we designed and synthesized compounds -25, -30, and -34 as potential mimics of cryptophycins.
Instead of the traditional linear model, we designed an Artificial Neural Network (ANN) to fit the data.
To obtain this model, we designed the NARS-Netherlands project, a dense deployment of broadband stations in the area.
Using computational modeling, we designed the dendrimer scaffold and protein attachment point to resemble the native N-glycan architecture.
With this model we designed and constructed an automated instrument that is able to play frequencies within predicted and recognizable frequencies.
According to the requirements of building the spatial model, we designed and done an indoor experiment of weed seed dispersal by wind.
