Browse Items (7 total)

  • Tags: Kernel

Underground strata are reflected in various information sources in petroleum exploration, including good logging and drilling data. Real-time measurement parameters obtained from mud logging can provide data support for the early discovery of oil and…

Well casing integrity is vital for the safe operations of oil wells, and also significant to detect well casing defects. Magnetic Flux Leakage (MFL) Detection Technology is widely-used in detecting the defects of various pipelines. Owing to the very…

Water content of crude oil has always been an important indicator of evaluating the exploiting capacity of an oil field. Accurate rate of water content will optimize the production and decrease energy consumption. Due to the complicated working…

This paper presents an extension of a comparative study of classifier architectures for automatic fault diagnosis, with a special emphasis on the Extreme Learning Machine (ELM), with and without kernel mapping. Besides the explanation of the ELM…

To process continuous sensor data in Internet of Things (IoT) environments, this study optimizes queries using multiple MJoin operators. To achieve efficient storage management, it classifies and reduces data using a support vector machine (SVM)…

Simulation of the transport of ions and neutral particles is important for studies of the flow field and working characteristics of jet flow plasma devices. The spatiotemporal evolution of plasma plumes in the small space within such devices is…

In this paper, the problem of a Virtual Power Plant participating in the Day-Ahead energy market was addressed with the aim of maximizing its profits. The problem considered the uncertainties in the wind and prices of the day-ahead market. The…
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