Browsing by Subject "Neural Network"
Now showing items 1-19 of 19
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(Texas A&M University, 2007-04-25)This dissertation studied new transmission line fault diagnosis approaches using new technologies and proposed a scheme to apply those techniques in preventing and mitigating cascading blackouts. The new fault diagnosis ...
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(2015-04-17)The Theta neuron model is a spiking neuron model which, unlike traditional Leaky-Integrate-and-Fire neurons, can model spike latencies, threshold adaptation, bistability of resting and tonic firing states, and more. Previous ...
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Deep Learning-Based Detection of Electricity Theft Cyber Attacks in Solar PV Distributed Generation (2019-07-09)In the past, electricity thefts were committed through physical means like tapping a line or bypassing the energy meter. However, the advent of smart meters has added another possible means of committing electricity theft ...
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(2011-02-22)The artificial neural network (ANN) approach has been recognized as a capable technique to model the highly complex and nonlinear problem of travel time prediction. In addition to the nonlinearity, a traffic system is also ...
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(2020-03-26)When neural networks (NeuralNets) are implemented in hardware, their weights need to be stored in memory devices. As noise accumulates in the stored weights, the NeuralNet’s performance will degrade. This paper studies how ...
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(2018-07-31)Road surface quality is an essential component of roadway infrastructure that leads to better driving standards and reduces risk of traffic accident. Traditional road condition monitoring systems fall short of current need ...
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(2022-12-10)One of the obstacles to the deployment of shape memory alloys (SMAs) in solid-state actuation is the low efficiency and functional instability due to the transformation thermal hysteresis and large temperature ranges during ...
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(The17th IBPSA Conference, Bruges, Belgium, 2021-09)
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(2018-04-03)The microbiota has a major impact on host health, and research suggests that the enzymatic capacity of the microbiota is important to mediate many of its effects on the host. Short-chain fatty acids (SCFAs) have recently ...
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(2023-06-02)This thesis discusses complete coverage path planning (CPP) algorithms used for robotic systems in dynamic and changing environments. The focus is on the Neural Network algorithm [9] and its adaptation for practical use ...
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(2023-06-02)This thesis discusses complete coverage path planning (CPP) algorithms used for robotic systems in dynamic and changing environments. The focus is on the Neural Network algorithm [9] and its adaptation for practical use ...
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(2023-06-02)This thesis discusses complete coverage path planning (CPP) algorithms used for robotic systems in dynamic and changing environments. The focus is on the Neural Network algorithm [9] and its adaptation for practical use ...
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(2022-07-27)In data-poor environments, it may not be possible to set aside a large enough test data set to produce accurate test-set error estimates. On the other hand, in modern classification applications where training is time and ...
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Organic Chemistry is a challenging subject that requires dedicated practice to learn the meticulous rules composing the subject, otherwise a student risks failure. Current software to teach chemical structures contains ...
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(2018-11-20)Although machine learning (ML) algorithms show impressive performance on computer vision tasks, neural networks are still vulnerable to adversarial examples. Adversarial examples typically stay indistinguishable to human, ...
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A novel unsupervised learning-based clustering approach to represent the flamelet tables is developed. The typical tabulation method for flamelet-based modeling generally requires a large amount of storage. A well-developed ...
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(Texas A&M University, 2005-02-17)The new approach for sensor diagnostics is presented. The approach, Enhanced Autoassociative Neural Networks (E-AANN), adds enhancement to Autoassociative Neural Networks (AANN) developed by Kramer in 1992. This enhancement ...