the main goal of the present study is to identify characteristics of the inter-station horizontal magnetic responses and the vertical magnetic data, as two types of magnetotelluric transfer functions, in the modeling procedure. through consideration of model responses and two-dimensional inversion of synthetic data, sensitivity of the data components in detecting different geophysical structure...

Neural networks (NNs) are often used as surrogates or emulators of partial differential equations (PDEs) that describe the dynamics complex systems. A virtually negligible computational cost such makes them an attractive tool for ensemble-based computation, which requires a large number repeated PDE solutions. Since latter also needed to generate sufficient data NN training, usefulness NN-based...

in this paper, a new algorithm for system identification based on frequency response is presented. in this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...

introduction: health care is considered as one of the basic needs of human societies. health insurance is the most appropriate option for all individuals to enjoy equal health care. however, today, different types of health insurance are facing with various problems which need to be solved through new laws. therefore, health insurance portability and accountability act (hipaa) was approved to s...

For applications involving data transmission from multiple sources, an important problem is: when the sources use multiple paths, how to maximize the aggregate sending rate of the sources using application-layer techniques via TCP? We solve this problem in the context of an overlay network by allowing a source to send data over k (k ≥ 1) overlay paths to its destination. Our goal is to select t...