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Cross-domain Scientific Collaborations have promoted rapid development of science and generated many innovative breakthroughs. However, predicting cross-domain scientific collaboration problem is rarely studied and collaboration recommendation methods within single domain cannot be directly utilized for solving cross-domain problems. In this paper, we propose a Hybrid Graph Model, which combines both...
In the last ten years, social network analysis became a very popular topic in many different scientific fields, network models are also widely popular for representing the relationship of the network data. Network data exhibits transitivity and homophily of the actors. There exist many distance computation methods for the actors space distance, and two of them are the most famous for the latent position...
Based on the influence of ionosphere on geomagnetic field, this paper tried to estimate the position of geomagnetic north-pole in geographic coordinates, via using GPS signal and Klobuchar model, and established the corresponding mathematical model. It is verified that the method is feasible by theoretical analysis and simulated data. and that the improved regional Klobuchar model and the perfection...
A system optimization framework based on design of experiment (DOE) and simulation is proposed. Simulation is effective in the optimization of many complex systems, however, it is time consuming and tough. DOE can reduce the number of test cases drastically while ensuring input combination is of wise coverage of design space. A framework incorporating simulation and DOE is proposed, which provides...
The generalized autoregressive conditional heteroskedasticity (GARCH) model has become the most popular choice in the analysis of time series datas. In this paper, an autoregressive moving average (ARMA)-GARCH model was built, and it also provided parameter estimation, diagnostic checking procedures to model, and predict Dow and S&P 500 indices data from 1988 to 2008, which extracted from yahoo...
An autoregressive integrated moving average (ARIMA) is one of the popular linear models in time series forecasting during the past three decades. Recently many environmental and socioeconomic time series data can be adequately modeled using the seasonal ARIMA model, also known as seasonal Box-Jenskins approach, and based on the fitted model. this paper presented a general expression of seasonal ARIMA...
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