Browsing by Subject "Dynamic Programming"
Now showing items 1-17 of 17
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(2011-02-22)In power system reliability analysis, state space pruning has been investigated to improve the efficiency of the conventional Monte Carlo Simulation (MCS). New algorithms have been proposed to prune the state space so as ...
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(2021-04-13)Solving nonlinear optimal control problems can be a difficult and time intensive process. This is especially true when the state dynamics of the problem are computationally expensive to solve. Using the Theory of Functional ...
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(2014-07-25)This dissertation investigates the agricultural impacts of climate change in three ways addressing water implications of mitigation strategies, feedlot livestock productivity vulnerability induced by climate change and ...
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(2018-11-21)RNA sequence analysis and structure prediction are classical topics of computational biology and a powerful tool to examine complex genomic data. Over the decades, various tools have been developed to predict RNA secondary ...
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(2009-05-15)This dissertation develops and evaluates a new adaptive traffic signal control system for arterials. This control system is based on reinforcement learning, which is an important research area in distributed artificial ...
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(2010-10-12)Cells behave as complex systems with regulatory processes that make use of many elements such as switches based on thresholds, memory, feedback, error-checking, and other components commonly encountered in electrical ...
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GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols (2013-11-25)In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a function without giving out plaintext of their input values. Privacy-preserving computing algorithms have to utilize a large ...
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(Texas A&M University, 2004-09-30)The goals of gene prediction using computational approaches are to determine gene location and the corresponding functionality of the coding region. A subset of gene prediction is the gene structure prediction problem, ...
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(Texas A&M University, 2006-10-30)In recent years Boolean Networks (BN) and Probabilistic Boolean Networks (PBN) have become popular paradigms for modeling gene regulation. A PBN is a collection of BNs in which the gene state vector transitions according ...
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(2015-12-08)Fuel economy of conventional hybrid electric vehicles (HEVs) gets limited improvements because of constraints from conventional internal combustion engines (ICEs). Electric vehicles (EVs) have the disadvantage of requiring ...
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(2009-05-15)In this thesis, health care policy issues for prevention and cure of cervical cancer have been considered. The cancer is typically caused by Human Papilloma Virus (HPV) for which individuals can be tested and also given ...
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(2022-03-04)Wheel loaders, one of the heavy equipment machinery are widely used in Construction and Mining industries. They typically transport loads over shorter distances. Due to their limited capacity, they have to perform repetitive ...
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(2011-08-08)Unmanned Aerial Vehicles (UAVs) are being used more frequently in surveillance scenarios for both civilian and military applications. One such application addresses a UAV patrolling a perimeter, where certain stations can ...
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(2013-04-01)A basic issue for translational genomics is to model gene interactions via gene regulatory networks (GRNs) and thereby provide an informatics environment to derive and study effective interventions eradicating the tumor. ...
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(2012-07-16)The area of systems biology evolved in an attempt to introduce mathematical systems theory principles in biology. Although we believe that all biological processes are essentially chemical reactions, describing those using ...
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(2011-02-22)The purpose of this dissertation is to address risk and consequences of and effective mitigation strategies for urban fire events involving two critical infrastructures- water distribution and emergency services. Water ...
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(2009-06-02)Compared to conventional Steiner tree signal net routing, non-tree topology is often superior in many aspects including timing performance, tolerance to open faults and variations. In nano-scale VLSI designs, interconnect ...