Browsing by Subject "machine learning"
Now showing items 21-40 of 107
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A key aspect of 3D animation is physics based simulation. To create realistic animations for objects such as cloth and fabric, a category of mathematical models known as softbody simulations are used. There are a wide ...
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(2021-04-28)Record linkage, often called entity resolution or de-duplication, refers to identifying the same entities across one or more databases. As the amount of data that is generated grows at an exponential rate, it becomes ...
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(2023-07-09)The major challenge in designing oxy-fuel combustors in supercritical power generation cycles is the lack of fundamental understanding of the combustion process at high pressures exceeding the critical point of the fuel ...
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(2023-04-21)Non-invasive wearable devices introduce more convenient and fashionable alternatives for around-the-clock remote health monitoring at the beat-to-beat resolution throughout the varying contexts of patients’ daily activities ...
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(2020-07-23)Cotton Root Rot (CRR) is a severe cotton disease in Texas and the southwestern U.S. It kills cotton and other dicotyledonous plants so quickly that the death of the plant may be the first observable symptom. CRR cannot be ...
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(2021-01-15)User reviews are ubiquitous. They power online review aggregators that influence our daily-based decisions, from what products to purchase (e.g., Amazon), movies to view (e.g., Netflix, HBO, Hulu), restaurants to patronize ...
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(2021-04-26)The existing electric grid is transitioning to a smart grid with increased penetration of distributed energy resources (DERs), such as photovoltaic (PV) units, battery storage units, electric vehicles (EV), and EV chargers. ...
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(2022-05-25)Cybersecurity has the utmost importance for nuclear power plants (NPPs). Demand for clean and constant energy has increased the need and use of NPPs. Countries want to have and maintain secure NPPs both physically (well-studied ...
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(2023-08-03)In an era of rapid decarbonization and increasing adoption of renewable energy resources, the maintenance of power grid stability and security presents an evolving set of challenges and opportunities. Modern power grids, ...
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(2022-08-17)The advancements in materials have driven significant progress in humanity which is largely enabled by a deeper understanding of fundamental materials science. For materials, the potential energy surface of the atomistic ...
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(2023-06-28)Chemical processes are complex and often characterized by nonlinearity, time-variation, and uncertainty. As a result, data-driven modeling approaches have gained widespread popularity in industry and academia for modeling ...
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(2023-04-04)Data science for experimentation, including the rapidly growing area of the design and analysis of computer experiments, aims to use statistical approaches to collect and analyze (physical or virtual) experimental responses ...
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(2022-07-20)Soil volumetric water content (VWC) has proven to be a good predictor of water stress in turfgrass. Measuring soil volumetric water content is most commonly performed using time domain reflectometry (TDR) sensors, which ...
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(2023-08-03)Stress is an unavoidable part of the human experience. While small doses of stress can help one focus and improve productivity, being constantly exposed to stressors can lead to deleterious health outcomes. As such, ...
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(2019-02-21)ABSTRACT The Cascadia subduction zone hosts quasi-periodic, large-scale slow slip events which have been shown to be precursors to large, tsunamigenic earthquakes at other active subduction zone margins. Detection of these ...
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Developing intelligent agents for training systems that learn their strategies from expert players (Texas A&M University, 2005-11-01)Computer-based training systems have become a mainstay in military and private institutions for training people how to perform certain complex tasks. As these tasks expand in difficulty, intelligent agents will appear as ...
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(2023-07-18)The detection of cellular metabolic perturbations is crucial for comprehending various physiological and pathological conditions. Autofluorescence lifetime imaging of two endogenous metabolic coenzymes reduced nicotinamide ...
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(2022-01-04)Both marine and terrestrial dissolved organic matter can play a major role in regulating the biogeochemistry and oxygen demand of the coastal ocean and continental shelf region. Where organic matter originates is not the ...
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(2019-04-01)Microseismic data is used by companies to analyze and check numerous processes, including horizontal well performance, directional drilling and, most recently, hydraulic fracturing. The microseismic data analysis approach ...
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(2019-01-02)ABSTRACT Power delivery presents key design challenges in today’s systems ranging from high performance micro-processors to mobile systems-on-a-chips (SoCs). A robust power delivery system is essential to ensure reliable ...