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 19 of 19 for “"target model"”.
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Target model generation from multiple synthetic aperture radar images
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking
… considers the problem of tracking a maneuvering target in a multisensor environment. A novel scheme for distributed tracking is employed that utilizes a nonlinear target model and estimates from local (sensor-based) estimators. The resulting estimation problem is highly nonlinear and thus quite …
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Design of a Scaled Flight Test Vehicle Including Linear Aeroelastic Effects
… to achieve consistent linear scaling of simple models. This methodology is adopted for use on a high fidelity joined-wing aircraft model. Natural frequencies and mode shapes are matched by optimizing structural ply properties and nonstructural mass. A full-scale SensorCraft concept developed by …
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Temperature-centric investigation of speculative decoding with knowledge distillation
… inference in autoregressive (large) language models. This method employs a smaller \textit{draft} model to speculate a block of tokens, which the \textit{target} model then evaluates for acceptance. Despite a wealth of studies aimed at increasing the efficiency of speculative decoding, the …
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Adversarial Prompt Transformation for Systematic Jailbreaks of LLMs
The rapid integration of Large Language Models (LLMs) like OpenAI’s GPT series into diverse sectors has significantly enhanced digital interactions but also introduced new security challenges, notably the risk of "jailbreaking" where inputs cause models to deviate from their operational guidelines. …
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Near-Optimal Sensor Placement for Detection of Poisson Distributed Targets
… of sensor placement for detecting uncertain targets. We model target arrivals using a Poisson process to capture the inherent randomness of event occurrences and emphasize the importance of accounting for uncertainty in the sensor placement strategy. To tackle this, we propose a …
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In the Shadow of Prompts: Adversarial Attacks and Model Cloning in Large Language Models
<p>Large-language models (LLMs) already power mission critical tasks such as command-and-control chat, satellite ground-station automation, military analytics, and cyber-defense. Since most of these services are offered through application programming interfaces (APIs) that still expose full or …
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Multi-model-based defense against adversarial examples for neural networks
… used in many applications, neural network models have been found to be vulnerable to adversarial examples, i.e., carefully crafted examples aiming to mislead machine learning models. Adversarial examples can pose potential risks on safety/security-critical applications. Existing defense …
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Compensating for model uncertainty in the control of cooperative field robots
… to uncertainties in the environment, task, robot models and sensors. A key problem is that it is often difficult to directly measure key information required for the control of interacting cooperative mobile robots. The objective of this research is to develop algorithms that can compensate for …
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A Machine Learning Approach for Forecasting with Limited Data and for Distant Time Horizons
… (ML) community to produce accurate forecasting models that address the limitations of classical methods. A large part of ML research focuses on innovative algorithms, but another important area is transitioning ML to industry settings. The objective of this Thesis is to apply ML in realistic …
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In pursuit of high resolution radar using pursuit algorithms
… maximize signal to noise ratio (SNR) in a single target environment. In a multi-target environment, however, matched filter estimates of target environment often consist of spurious targets because of radar signal sidelobes. As a result, matched filters are not suitable for use in high resolution …
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A thermodynamic framework for the modeling and optimization of crystallization processes
… Thus, the main objective of this work is to target model-based optimal strategies for crystallization operations specifically targeting crystal size and crystal size distribution (CSD). In particular, take the knowledge gained and translate it into an economically and practically feasible …
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Model development for the adoption of technology: Electronic commerce in the construction industry
… representation of an organisation. Three models have been developed, they are focused toward determining success; (1) stand-alone organisational success, (2) supply chain success, (3) period of time taken to achieve successful adoption. This research helps us to understand the nature and …
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Make Some Noise: Methods for Generating Data from Imperfect Factor Models
… studies involving covariance structure models (e.g., the common factor model) have increasingly recognized the importance of incorporating error due to model misfit in simulated data. Incorporating this model error acknowledges that all models are literally false, and no covariance …
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Supernovae as gamma ray emitters from the MeV to the TeV
… in gamma rays. Here we build a one-zone, ""thick-target"" model implementing calorimetry and placing a firm upper bound on gamma-ray emission from cosmic-ray interactions. The model assumes that cosmic rays are accelerated by supernovae, and all suffer nuclear interactions rather than escape. Our …
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A defensive strategy for detecting targeted adversarial poisoning attacks in machine learning trained malware detection models
… security. Machine learning algorithms build models which identify patterns within data, which when applied to new data, can map the input to an output with a high degree of accuracy. To build the machine learning model, a dataset comprised of appropriate examples is divided into training and …
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STRUCTURAL INVESTIGATION OF EXTRACELLULAR VESICLES AND THEIR INTERACTION WITH BIOMIMETIC INTERFACES
… is an urging need to design different membrane models with different complexities and geometries, to be used as biomimetic interfaces for mimicking the interaction mechanisms of incoming macromolecules such as the EVs. Indeed, the design of such model membranes can be considered as …