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 20 of 2219 for “"Data-Driven"”.
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Data-driven pricing
In this thesis, we develop a pricing strategy that enables a firm to learn the behavior of its customers as well as optimize its profit in a monopolistic setting. The single product case as well as the multi product case are considered under different parametric forms of demand, whose parameters …
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Data Driven Nonparametric Detection
… into centralized detection, where all observed data are available for making decision, and decentralized detection, where only quantized data from distributed sensors are forwarded to a fusion center for decision making. While these problems have been intensively studied under parametric and …
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Data-driven materials design
… this thesis I demonstrate several approaches to data-driven materials and manufacturing, focusing on computational tools, digital data, and experimental tools. In the space of computational tools, an approach that combines quantum mechanical modeling and machine learning is demonstrated as a …
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Data-driven Ocean Modelling
This thesis extends recent progress in data-driven weather forecasting by developing and assessing data-driven models of the ocean. Specifically we develop data-driven emulators of an idealised configuration of a physics-based ocean simulator, MITgcm. While work focuses on idealised cases, these …
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Data-driven logistic planning
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Data-driven revenue management
… and usually there is only historical demand data from past periods. Thus, data-driven approaches are appealing in solving these problems. In this thesis, we evaluate the theoretical and empirical performance of nonparametric and parametric approaches for solving the variants of the newsvendor …
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Data driven health system
Effective use of data is believed to be the key to address systemic inefficiencies in health innovation and delivery, and to significantly enhance value creation for patients and all stakeholders. However, there is no definition for health data. Rather, data in health is an assortment of …
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Data-driven Infrastructure Inspection
… the built environment. Emerging technologies and data are driving factors which are disrupting the traditional processes for conducting these inspections. Because inspections are mainly conducted visually by human inspectors, this paper focuses on improving the visual inspection process with …
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Data Driven Modeling of Proteins
… that take advantage of the large amount of data generated in both experiments and computer simulations in order to better understand how proteins work. The first method (pyODEM) improves the modeling of proteins on the global scale, while a second method (pyFrustration) probes the protein's …
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Data-driven 3D shape modeling
… is still an open issue. There are too much raw data around, but there is no uniform or standard way to translate them for computers. My work is an attempt to build a bridge from real world to virtual world. We proposed several algorithms to process three major types of raw data, including …
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Data-driven Automatic Edge Sharpening
Sharpening is a powerful image transformation because sharp edges can bring out image details. Sharpness is achieved by increasing local contrast and reducing edge widths. We present a method that enhances sharpness of images and thereby their perceptual quality. Most existing enhancement …
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Data-driven adaptive learning systems
… to the adaptive test and learning problems using data-driven methods. In the first chapter, we discuss the challenge of content balancing in variable-length adaptive tests and propose feasible data-driven methods. Content balancing is one of the most important issues in CCT. To adapt to …
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Data-driven linear interatomic potentials
… accessible due to the rapid development of data-driven interatomic potential frameworks over the last decade. This thesis presents two novel frameworks, namely 'atomic permutation invariant polynomials' and 'atomic cluster expansion'. Both frameworks are linear models that can be used to …
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A data-driven reflectance model
I present a data-driven model for isotropic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data. Instead of using analytic reflectance models, each BRDF is represented as a dense set of measurements. This representation allows interpolation and extrapolation …
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Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models
The growing complexity and data in modern engineering and physical systems require robust frameworks for real-time decision-making. Data-driven models trained on observational data enable faster predictions but face key challenges—data corruption, bias, limited interpretability, and uncertainty …
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Data-driven analysis for multimodal neuroimaging
Bildgebende Verfahren in den Neurowissenschaften haben unser Verständnis von Informationsverarbeitung im Hirn entscheidend geprägt. Die schnelle Verbreitung von nicht-invasiven bildgebenden Verfahren wie etwa der funktionellen Magnet-Resonanz Tomographie (fMRT) in den letzten beiden Dekaden erlaubt …
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Data Driven Models for Language Evolution
… biological sequence analysis, we have designed a data driven orthographic learning system for measuring string similarity and we have successfully applied it to the tasks of cognate identification and phylogenetic inference. Our system has outperformed the best comparable phonetic and orthographic …
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Data-Driven Modeling of Pedestrian Crowds
… studies on new methods for extracting empirical data of pedestrian movements (mainly based on video analysis, lasers, and infrared cameras), but most of the work is still focused on artificial setups for crowds moving through corridors and crowds passing bottlenecks. Even though these controlled …
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