Browsing by Subject "pattern recognition"
Now showing items 1-12 of 12
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(2011-05-20)Spacecraft design is inherently difficult due to the nonlinearity of the systems involved as well as the expense of testing hardware in a realistic environment. The number and cost of flight tests can be reduced by ...
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(2010-10-12)The aggregate base layer is a vital part of the flexible pavement system. Unlike rigid pavements, the base layer provides a substantial contribution to the load bearing capacity in flexible pavements, and this contribution ...
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(1981)This report concludes a year of investigative research in artificial intelligence. Artificial intelligence is a field of computer science in which recreating human behavior in machines is the main subject; the field is ...
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(2016-04-27)There is a growing concern over reliability, power consumption, and performance of traditional Von Neumann machines, especially when dealing with complex tasks like pattern recognition. In contrast, the human brain can ...
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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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(2018-04-27)Protection misoperation is responsible for a large portion of all cascading failures. These cascading failures can lead to blackouts that have tremendous social impacts. This dissertation proposes a new method that uses ...
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(2016-08-18)Bolstered resubstitution is a simple and fast error estimation method that has been shown to perform better than cross-validation and comparably with bootstrap in small-sample settings. However, it has been observed that ...
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(2021-05-18)The standard assumption in classification is that the training data are independent and identically distributed. Indeed, this assumption is so pervasive that it is often applied without mention. In this dissertation, we ...
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(1976)Pattern recognition, as used in this paper, reflects a technique of machine data analysis. In this capacity the machine receives the raw data, processes it for the purpose of separating the important features from the ...
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(2012-08-15)This dissertation describes an on-line, non-intrusive, classification system for identifying and reporting normal and abnormal power system events occurring on a distribution feeder based on their underlying cause, using ...
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Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition (2011-08-08)Online sketch recognition uses machine learning and artificial intelligence techniques to interpret markings made by users via an electronic stylus or pen. The goal of sketch recognition is to understand the intention ...
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(Texas A&M University, 2006-08-16)In this thesis we present an effective steganalysis technique for digital video sequences based on the collusion attack. Steganalysis is the process of detecting with a high probability the presence of covert data in ...