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Oil is the lifeblood of the global economy. Recently, oil prices have witnessed fluctuations and the prediction of oil prices has become a challenge for researchers. The aim of this research is to design a model that is able to predict the prices of crude oil with good accuracy. We used the daily data from 1999 to 2012 with 14 input factors to predict the price of West Texas Intermediate (WTI), which...
News articles are a captivating type of online content that capture a significant amount of Internet users' interest. They are particularly consumed by mobile users and extremely diffused through online social platforms. As a result, there is an increased interest in promptly identifying the articles that will receive a significant amount of user attention. This task falls under the broad scope of...
In deep submicrometer era, thermal hot spots, and large temperature gradients significantly impact system reliability, performance, cost, and leakage power. As the system complexity increases, it is more and more difficult to perform thermal management in a centralized manner because of state explosion and the overhead of monitoring the entire chip. In this paper, we propose a framework for distributed...
This paper presents a simple and precise wave prediction method for applications to real-time control of wave energy converters (WECs). The proposed prediction method is based on a so-called modified grey model with first order - one variable - MGM(1,1). This model was developed from the conventional grey model - GM(1,1) in which the background series used to establish grey differential equation was...
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