نتایج جستجو برای: dataset
تعداد نتایج: 94624 فیلتر نتایج به سال:
The detection of kidding in production animals is the utmost importance, given frequency problems associated with process, and fact that timely human help can be a safeguard for well-being mother kid. continuous monitoring process expensive, uncertainty when it will occur, so establishment an autonomous mechanism does would allow calling responsible who could intervene at opportune moment. pres...
Hyperspectral image (HSI) classification plays an important role in a wide range of remote sensing applications military and civilian fields. During past decades, significant efforts have been made on developing datasets introducing novel approaches to promote HSI classification, such that promising performance has achieved. However, existing generally pose following issues, including the limit...
With the increasing use of spatial data in daily life, the production of this data from diverse information sources with different precision and scales has grown widely. Generating new data requires a great deal of time and money. Therefore, one solution is to reduce costs is to update the old data at different scales using new data (produced on a similar scale). One approach to updating data i...
Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...
A debutanizer column is an integral part of any petroleum refinery. Online composition monitoring of debutanizer column outlet streams is highly desirable in order to maximize the production of liquefied petroleum gas. In this article, data-driven models for debutanizer column are developed for real-time composition monitoring. The dataset used has seven process variables as inputs and the outp...
The minimum density power divergence method provides a robust estimate in the face of a situation where the dataset includes a number of outlier data. In this study, we introduce and use a robust minimum density power divergence estimator to estimate the parameters of the linear regression model and then with some numerical examples of linear regression model, we show the robustness of this est...
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