Browsing by Subject "Machine Learning"
Now showing items 1-20 of 155
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(2021-06-21)Reaction kinetics between different rock and acid systems have been studied using the rotating disk apparatus (RDA). However, simplifying assumptions have been made to develop the current equations used to interpret RDA ...
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(2020-04-16)Ambulatory devices and Image-based IoT devices have permeated our every-day life. Such technologies allow the continuous monitoring of individuals’ behavioral signals and expressions in every-day life, affording us new ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2020-03-26)Simulation-based verification is a very essential technique in ensuring the correct functionality of any digital integrated circuit design before it goes on silicon. One of the major challenges of running simulation-based ...
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(2012-10-19)Sketch recognition is an active research field, with the goal to automatically recognize hand-drawn diagrams by a computer. The technology enables people to freely interact with digital devices like tablet PCs, Wacoms, and ...
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(2020-03-16)In brain cancer surgery, it is critical to achieve extensive tumor resection without compromising adjacent healthy brain tissue. Various technologies (e.g. intraoperative magnetic resonance imaging and computed tomography) ...
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(2023-08-02)Residential Photovoltaic (PV) systems have been gaining increasing attention due to their potential to contribute significantly to sustainable energy solutions. This dissertation delves into an in-depth exploration of the ...
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(2022-07-22)Observations of dissolved oxygen, salinity, temperature, and six different nutrient concentrations of the waters on the TXLA Shelf in the months of March – September in 2003 – 2014 were used in unsupervised and supervised ...
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(2019-11-19)The recent developments in machine learning have shown its applicability in numerous real-world applications. However, building an optimal machine learning pipeline requires considerable knowledge and experience in data ...
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(2023-06-08)Various advanced reactor designs proposed in recent years envision deployment scenarios which feature reactor operations with significantly reduced staffing or even completely autonomous frameworks to reduce the operations ...
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(2023-06-08)Various advanced reactor designs proposed in recent years envision deployment scenarios which feature reactor operations with significantly reduced staffing or even completely autonomous frameworks to reduce the operations ...
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(2020-07-15)There are many inverse modeling methods to model the whole building energy use. Multiple linear regression (MLR) and change-point liner regression (CPLR) have been some of the most common methods due to their intelligibility ...
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(2018-08-27)Fused Deposition Modeling (FDM) is an extrusion based additive manufacturing methodology. During the manufacturing process, a thread of thermoplastic material is melted through the extruder and solidified on the building ...
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TnSeq is a genetic method used to evaluate the essentiality of genes in bacteria, such as Mycobacterium tuberculosis. It uses random insertions by the Himar1 transposon and high throughput sequencing to determine the most ...
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(2023-08-10)In the digital age, leveraging the enormous amounts of data available is critical to understanding the petroleum system. One example is chemometric analysis (the application of multivariate statistics to the analysis of ...
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(2020-07-21)Artificial intelligence and machine learning have transformed many industries. However, the oil and gas industry is lagging in AI adaption. Currently, with the low oil prices and a considerable performance gap in the oil ...
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(2023-08-03)Geological carbon storage (GCS) is a crucial technique for the mitigation of anthropogenic carbon dioxide (CO2) emissions into the atmosphere. Despite its potential, GCS presents numerous risks, including leakage risks and ...
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(2018-08-08)The goal of this thesis is to demonstrate that linear-based data-driven models are innovative and robust. They have the potential to forecast well bottom-hole pressure and identify interference effects between wells. Permanent ...