Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"algorithm selection"”.
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Algorithm selection in structural optimization
… requisite expertise-to choose an optimization algorithm for a given problem. A suitable choice of algorithm improves the resulting design and reduces computational cost, yet the field of optimization does little to guide engineers in selecting from an overwhelming number of options. The goal of …
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Algorithm selection, scheduling and configuration of Boolean constraint solvers
… of parallel portfolio solvers (ACPP) via algorithm configuration,(ii) solving the $NP$-hard problem of finding effective algorithm schedules with Answer Set Programming (aspeed), and (iii) a flexible algorithm selection framework (claspfolio2) allowing for fair comparison of different …
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Exploring learned join algorithm selection in relational database management systems
… performance by identifying the most ideal join algorithms for query execution plans in two popular relational database management systems, PostgreSQL and Microsoft SQL. First, we gather baseline query execution times for the entire IMDb Join Order Benchmark under different subsets of usable join …
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Runtime Algorithm Selection For Grid Environments: A Component Based Framework
… be burdened with the job of choosing the right algorithm and implementation every time the resources on which the application runs are changed. A lot of research has been done in adapting applications to changing conditions. The existing systems do not address the issue of providing a unified …
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Active Control of Camera Parameters and Algorithm Selection for Object Detection
… performance of several popular object detection algorithms, under various illumination conditions. Our experimental results indicate a significant difference in sensitivity of the evaluated algorithms to these camera parameters. Based on the experimental benchmark results, a novel active control …
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An investigation of the influence of radiographic malpositioning and image processing algorithm selection on ICU/CCU chest radiographs
… difference between the two image processing algorithms, apart from the visualisation of sharp reproduction of the trachea and proximal bronchi, which was significantly better using the standard algorithm compared to the inverted algorithm. The two methods used to estimate the degree of …
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A State-of-the-Art Artificial intelligence model for Infectious Disease Outbreak Prediction. Infectious disease outbreak have been predicted in England and Wales using Artificial Intelligence, Machine learning, and Fast Fourier Transform for COVID-19.
… reliable sources; 2) Optimal machine learning algorithm selection, with the Random Forest tree (RF) classifier achieving 94.4% accuracy; 3) Dimensionality reduction utilising principal components analysis (PCA) to optimise the impact of the data volume; 4) Predicting case numbers utilising an …
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Precision autonomous underwater navigation
… by developing a design method and a navigation algorithm. Responsible documentation, through remote sensing images, distinguishes archaeology from salvage, and fine-resolution imaging demands precision navigation. This thesis presents a design process for making component and algorithm level …
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From Data, to Models, and Back: Making Machine Learning Predictably Reliable
… data (and the way we collect it), to learning algorithms, to deployment. Fully realized, such an understanding would allow us to build ML systems the same way we build buildings or airplanes—safely, scalably, and with a robust grasp of the underlying principles. In this thesis, we focus on four …
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Physics-Informed Machine Learning Methodologies Using RAPID for Predicting Eigenvalue and 3-D Fission Distribution in JSI TRIGA Mark-II Research Reactor
… challenges of machine learning involve proper algorithm selection and, more importantly, the quantity/quality of the data. The RAPID code system enables very fast and accurate simulations of nuclear reactor systems. RAPID's algorithms have been both computationally and experimentally validated …
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Parallel Circuit Simulation Techniques for a Hierarchical Machine
… and investigates a variety of classical algorithms on the Cedar multiprocessor. Unfortunately, the range of behavior observed for these algorithms applied to various types of circuits is considerable. In an attempt to combine the advantages of several well-established algorithms, a …
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Automated Machine Learning for Predicting Trends in Time Series Data
Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. While TreNet was shown to have superior performance to a number of alternative approaches, the validation method used did not take into account the sequential nature of time series …
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Quantifying the agronomic and water quality tradeoffs of fertilizer management with multiobjective evolutionary algorithms
… systems models, multiobjective evolutionary algorithms (MOEAs) can efficiently quantify optimal tradeoffs (Pareto fronts) among conflicting economic and environmental objectives to help farmers identify compromise decision alternatives. Realizing the potential of MOEAs to agricultural …
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Performance Optimization of Public Key Cryptography on Embedded Platforms
… investigate the Elliptic Curve Digital Signature Algorithm (ECDSA), the Lamport-Diffie one-time hash-based signature scheme (LD-OTS) and the Winternitz one-time hash-based signature scheme (W-OTS). We demonstrate that there’s a trade-off between energy needs, security level and algorithm …
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Modeling User Transportation Patterns Using Mobile Devices
… evaluate individual trust prediction methods, an algorithm selection portfolio was introduced to take advantage of the strengths of each method and maximize the overall prediction performance. Like many other crowdsourced applications, user incentivization is an important aspect of creating a …
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A probabilistic architecture for algorithm portfolios
Heuristic algorithms for logical reasoning are increasingly successful on computationally difficult problems such as satisfiability, and these solvers enable applications from circuit verification to software synthesis. Whether a problem instance can be solved, however, often depends in practice on …
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Orbital Maneuvers and Interplanetary Trajectory Design via Reinforcement Learning
… and long-duration transfers. Several RL algorithms, including Proximal Policy Optimization and Soft Actor-Critic, are implemented and evaluated across a diverse set of trajectory design problems: orbit-raising maneuvers, inclination change maneuvers, combined orbital maneuvers, and an …
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Policy-based network management with end-to-end QoS solution in software defined networking
… contrast to other studies, the proposed routing algorithm calculates the routing path when less information is advertised by the switch plane; (2) policy-based network management (PBNM) over SDN to enable QoS provisioning. It addresses the use of SDN centralized architecture to adopt the standard …