DNN, DSN & Transfer learning DNN, DSN for matlab The toolbox is revised based on Prediction as a candidate for learning deep hierarchical models of data New features added is deep stack network (DSN) ...

Catphan_MFT Modulation Transfer Function evaluation based on Catphan phantom CBCT images Given data: Catphan phantom CBCT images. The GOAL: is to compute MTF (Modulation Transfer Function) for the ...

Despite the wealth of literature on Gm-C filters, the synthesis of high-order filter characteristics is still an active topic. In this paper the realization of Gm-C filters with current transfer ...

We present a new type of neural network (NN) where the data for the input layer are the value x/spl epsiv/R, the vector y/spl epsiv/ R/sup m/ associated to an initial value problem (IVP) with y'(x)= f ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

To determine how listeners learn the statistical properties of acoustic spaces, we assessed their ability to perceive speech in a range of noisy and reverberant rooms. Listeners were also exposed to ...