Browsing by Subject "neural network"
Now showing items 1-10 of 10
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(Texas A&M University, 2005-02-17)The use of neural networks in the field of development geology is in its infancy. In this study, a neural network will be used to identify flow units in Happy Spraberry Field, Garza County, Texas. A flow unit is the ...
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(2016-08-08)The Knife-Edge Scanning Microscope (KESM), developed at the Brain Network Laboratory at Texas A&M University, can image a whole small animal brain at sub- micrometer resolution. Nissl data from the KESM enable us to look ...
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(Texas A&M University, 2005-11-01)Process monitoring in the chemical and other process industries has been of great practical importance. Early detection of faults is critical in avoiding product quality deterioration, equipment damage, and personal injury. ...
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DESIGN OF OPTIMAL PUMPING SCHEDULES TO ENHANCE OIL AND GAS PRODUCTION FROM UNCONVENTIONAL RESERVOIRS (2020-03-24)Hydraulic fracturing is a technique extensively used in the oil and gas industry, where water, proppant (sand) and additives are injected into unconventional reservoirs to enhance the recovery of shale hydrocarbon. Because ...
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Radiologists are in charge of detecting and diagnosing diseases by means of x-rays, Magnetic Resonance Imaging (MRIs), Computed Tomography (CT) scans, and other medical imaging techniques. Of these imaging techniques, chest ...
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Recent work in the area of automatic emotion recognition has leveraged a large amount of publicly available data with transfer learning techniques to detect emotion on low-resource data. Previous work demonstrated that the ...
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(2020-11-13)We are living in an information age - information is collected, communicated and computed to improve the society and people’s life. This dissertation study is focused on several different aspects of information processing, ...
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(Texas A&M University, 2004-11-15)Texture boundary detection (or segmentation) is an important capability of the human visual system. Usually, texture segmentation is viewed as a 2D problem, as the definition of the problem itself assumes a 2D ...
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(Texas A&M University, 2004-09-30)Predicting well inflow performance relationship accurately is very important for production engineers. From these predictions, future plans for handling and improving well performance can be established. One method of ...
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(2022-07-28)This research finds that virtual buildings that are automatically generated using parametric building information modeling (BIM) can provide high-quality training data for teaching an artificial intelligence (AI) to recognize ...