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.
Results
Showing 1 to 20 of 40 for “"blackbox"”.
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Blackbox Stencil Interpolation Method for model reduction
Model reduction often requires modifications to the simulation code. In many circumstances, developing and maintaining these modifications can be cumbersome. Non-intrusive methods that do not require modification to the source code are often preferred. This thesis proposed a new formulation of …
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Derivative-Free Meta-Blackbox Optimization on Manifold
Solving a sequence of high-dimensional, nonconvex, but potentially similar optimization problems poses a significant computational challenge in various engineering applications. This thesis presents the first meta-learning framework that leverages the shared structure among sequential tasks to …
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Automated blackbox GUI specifications enhancement and test data generation
<p>Applications with a Graphical User Interface (GUI) front-end are ubiquitous nowadays.</p> <p>While automated model-based approaches have been shown to be effective in testing of such applications, most existing techniques produce many infeasible event sequences used as GUI test cases. This …
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Distributed record and replay blackbox for acute care medical devices
Medical devices have been used in HealthCare for years. Such devices transform the way clinical operations are being performed, rendering care both more efficient and more effective. Equipped with advanced sensors and precision electronics, they can collect physiological measurements of patients in …
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Search, polynomial complexity, and the fast messy genetic algorithm
Blackbox optimization--optimization in presence of limited knowledge about the objective function--has recently enjoyed a large increase in interest because of the demand from the practitioners. This has triggered a race for new high performance algorithms for solving large, difficult problems. …
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Fiesta++ : a software implemented fault injection tool for transient fault injection
… offers two modes of operation: whitebox and blackbox. The whitebox mode assumes that users have some degree of knowledge of the structure of the software under test and allows them to specify fault injection targets in terms of the application variables and fault injection time in terms of …
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Greedy layerwise training of convolutional neural networks
… this study emphasizes the need to open the blackbox that is modern deep neural networks and investigate the layerwise interactions between intermediate hidden layers within deep networks, all through the lens of layerwise training.
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Modeling and analysis of software specifications for an autonomous aerial vehicle
… in a tabular format and specifies the intended blackbox behavior of the system in terms of discrete events. The goal of modeling was to produce a set of specifications that clearly describe the desired system behavior for ease of human review. Analysis focused on identifying safety-related …
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Inductive logic programming with gradient descent for supervised binary classification
… logical rules, rather than explaining existing blackbox models. We extend recent inductive logic programming methods developed by Evans and Grefenstette [3] to develop an gradient descent-based inductive logic programming technique for supervised binary classification. We start by developing our …
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Mixed-Variable Bayesian Optimization using Prior-Data Fitted Networks
… is a powerful framework for optimizing expensive blackbox functions, widely used in domains such as materials science, engineering design, and hyperparameter tuning. Traditional BO relies on Gaussian processes (GPs) as surrogate models, but GPs face limitations in flexibility and scalability. …
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Optimizing Video Streaming at Scale Across Devices, Networks, and Temporal Drift
… can enhance stream quality. Yet traditional blackbox optimization methods like Bayesian optimization become prohibitively expensive due to the large configuration space and the constant emergence of new device types. We introduce AZEEM, a scalable recommendation system leveraging few-shot …
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Proof-carrying data
… assumptions, in a model where the prover has blackbox access to some simple functionality - essentially, a signature card.
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Reduced-basis output bound methods for parametrized partial differential equations
… to develop a two-stage off-line/on-line blackbox computational procedure. In the on-line stage, for every new parameter value, we calculate the output of interest and an associated error bound. The computational complexity of the on-line stage of the procedure scales only with the …
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Mathematical Software for Multiobjective Optimization Problems
… that are derived from computationally expensive blackbox functions, such as engineering design optimization problems, several methodologies are combined, including surrogate modeling, trust region methods, and adaptive weighting. The result is a numerical software package that finds approximately …
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Towards Understanding Nanoparticle Uptake by the Liver: The Role of Flow Dynamics, Organ Microarchitecture and Cellular Phenotype
… thesis represents the first glimpse into the ‘blackbox’ and provides a foundation for future studies to improve the targeting efficiency and safety of nanoparticle-based technologies.
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Surrogate modeling for large-scale black-box systems
… method to reduce the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, such as Monte Carlo simulations; however, existing surrogate modeling methods often are not applicable, …
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Model-based active control of thermoacoustic instability in continuous combustion processes
… systems are investigated by looking at several "blackbox" type models of nonlinear behavior. The performance of the linear controllers on the nonlinear models is investigated and an explanation for their success given.
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On the equivalence of sparse statistical problems
… paper we show how to efficiently transform a blackbox solver for SLR into an algorithm for SPCA. Assuming the SLR solver satisfies prediction error guarantees achieved by existing efficient algorithms such as those based on the Lasso, we show that the SPCA algorithm derived from it achieves …
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FiniteFuzz : Finite State Machine Fuzzer For Industrial Control IoT Devices
… to fuzz Finite State Machines. Unlike the Blackbox fuzzers, FINITEFUZZ employs a mutational technique that utilizes feedback to steer the fuzzing process. FINITEFUZZ takes a random set of states and compares them with the desired FSM and records the states that increase the coverage of the …
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Innovation management in healthcare
… into a field that is often considered a “blackbox”. This thesis adds to the topic in three essays, each focusing on a different aspect and depth level ranging from a macro perspective on healthcare innovation on a global scale to a meso level perspective on the implementation of …
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