Browsing by Subject "neural networks"
Now showing items 1-18 of 18
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In this paper, we look at the performance of a time-delay neural network in a scenario requiring memory as well as reactivity. Utilizing a ball catching scenario where the agent will have to move to catch a falling ball, ...
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Neural networks, a class of artificial intelligence techniques that extract patterns from data and are suitable for tasks such as function approximation and image classification, are finding applications in computational ...
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(2023-07-06)Solar activity can cause geomagnetic disturbances (GMDs) that give rise to geomagnetically induced currents (GICs) which can compromise the reliability of the electric grid. The primary goal of this thesis is to investigate ...
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(Texas A&M University, 2004-09-30)A flexible workcell controller has been developed using a three level control hierarchy (workcell, workstation, equipment). The cell controller is automatically generated from a model input by the user. The model consists ...
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(Texas A&M University, 2004-09-30)This dissertation introduces advanced artificial intelligence based algorithm for detecting and classifying faults on the power system transmission line. The proposed algorithm is aimed at substituting classical relays ...
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Graph Neural Networks are behind many pharmacological breakthroughs due to their innate ability to learn structural properties of molecules and accelerate high-throughput screening for favorable characteristics that could ...
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(2019-03-25)Inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF) and their corresponding computer simulations produce an immense amount of rich data. However, quantitatively interpreting that data remains ...
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Multi-step-ahead prediction of MPEG-coded video source traffic using empirical modeling techniques (Texas A&M University, 2006-04-12)In the near future, multimedia will form the majority of Internet traffic and the most popular standard used to transport and view video is MPEG. The MPEG media content data is in the form of a time-series representing ...
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Line-based musculoskeletal simulation is important in both computer graphics and biomechanics research. Software such as OpenSim can provide simulations of musculoskeletal dynamics and neural control where it would be ...
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(Texas A&M University, 2004-09-30)Over fifty small sinkholes (~1 meter in depth and width) were found in conjunction with structural damage to homes in an area south of Cleveland, TX. The local geology lacks carbonate and evaporite deposits associated ...
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(2019-11-13)Orthogonal Frequency Division Multiplexing (OFDM) is an approach for realizing high speed transmission of data. The OFDM modulation scheme has the advantage of providing high spectral efficiency in multicarrier transmission ...
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(2015-09-23)Autonomous travel poses challenges in machine learning navigation. Different approaches have been considered, such as reinforcement learning, dynamic programming methodologies, and other artificial intelligence assisted ...
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(1990)New insight into the choice of the number of hidden nodes for three layered neural networks is presented. I have conceived a method to reduce the total complexity and size of a network by testing for linear dependence of ...
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(2020-05-26)Spin glasses are disordered magnetic systems that have frustration. The most interesting feature of the physical properties of spin glasses is the complex structure of phase space that is caused by the competition between ...
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Currently neural networks run as software, which typically requires expensive GPU resources. As the adoption of deep learning continues for a more diverse range of applications, direct hardware implemented neural networks ...
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(2020-03-26)It is accurate to say that optimization plays a huge role in the field of machine learning. Majority of the machine learning problems can be reduced to optimization problems and having the ability to solve such group of ...
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(2010-01-14)This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of ...
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(2019-05-17)Remotely tracking users’ activity and physiology can help on disease treatment and health monitoring. For example, in nutrition management, tracking food intake helps on weight control. However, to train tracking algorithms, ...