Abstract Geomagnetism, similar to other areas of geophysics, is an observation-based science. Data agreement between comparative geomagnetic vector observations one the most important evaluation criteria for high-quality data. The main influencing factors affecting observational data are attitude angle, scale factor, long-term time drift, and temperature. In this paper, we propose a method base...

support vector regression (svr) is a learning method based on the support vector machine (svm) that can be used for curve fitting and function estimation. in this paper, the ability of the nu-svr to predict the catalytic activity of the fischer-tropsch (ft) reaction is evaluated and the result is compared with two other prediction techniques including: multilayer perceptron (mlp) and subtractiv...

a robust and reliable quantitative structure-property relationship (qspr) study was established to forecast the melting points (mps)  of a diverse and long set including 250 drug-like compounds. based on the calculated descriptors by dragon software package, to detect homogeneities and to split the whole dataset into training and test sets, a principal component analysis (pca) approach was used...

in this paper, an efficient fault-tolerant routing algorithm for mobile ad-hoc networks (manets) is presented. the proposed algorithm increases the network fault-tolerance using natural redundancy of ad-hoc networks. this algorithm is carried out in two stages; 1) the selection of backup nodes 2) the selection of backup route(s). in the first stage, the proposed algorithm chooses nodes with the...