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 16 of 16 for “"impact of noise"”.
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Impact of Noise and Spike Initiation Properties on the Encoding and Transmission of Neural Information
… to process information. Different aspects of spiking, such as its rate or timing, are used to encode information about different features of an input. But noise can influence how robustly information is represented in each coding scheme. Additionally, information can be lost if neural …
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Consistency and Uniform Bounds for Heteroscedastic Simulation Metamodeling and Their Applications
… metamodel provides an accurate approximation of the input-output relationship implied by a stochastic simulation experiment whose output is subject to input-dependent noise variance. Several challenges remain unsolved in this field. First, in-depth investigations into the consistency of …
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The link between HVAC type and student achievement
… and practitioners have found that the type of mechanical system utilized to thermally condition a space impacts the noise level for occupants. Indeed, in schools, air conditioning systems are by far the largest contributors to room noise (Bradley, 2002; Nelson et al., 2005; Siebein et al., …
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N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised Learning
Relation extraction is the problem of extracting relations between entities described in the text. Relations identify a common "fact" described by distinct entities. Conventional relation extraction approaches focus on supervised binary intra-sentence relations, where the assumption is relations …
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Machine learning to extract information from noise: application to concrete and cancer detection
The availability of large amounts of experimental and computational data together with powerful computers enabled use of machine learning to predict phenomena in physical sciences. Machine learning is a class of methods that start from existing data to train a model and then use this model to …
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Task-specific observer performance and image quality : direct and indirect relationships in low-dose CT images
Aim: The aim of this research was to examine image quality in low-dose CT images, as determined by a range of image quality measures (IQM), in addition to psychophysical assessment, and look at direct or indirect relationships. Method: CT images of an anthropomorphic chest phantom were obtained …
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Optically injected multi-mode semiconductor lasers
As a device, the laser is an elegant conglomerate of elementary physical theories and state-of-the-art techniques ranging from quantum mechanics, thermal and statistical physics, material growth and non-linear mathematics. The laser has been a commercial success in medicine and telecommunication …
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Optimization of cDNA microarray image analysis methods
The expression of genetic information, in all organisms, might be characterized as in a constant state of flux with only a fraction of the gene within a genome being expressed at any given time. The genes’ expression pattern reflects the response of cells to stimuli that control growth, development …
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How does the zoo soundscape affect the zoo experience for animals and visitors?
… characters. This thesis presents the results of the influence of the sound components of the zoo environment in the welfare and behaviour of mammals and in the visitors’ experience. Firstly, a critical literature review was made concerning the impact of noise on wildlife. Several papers were …
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Random observations on random observations: Sparse signal acquisition and processing
… ambient dimensionality. For example, signals can often be well-approximated as a sparse linear combination of elements from a known basis or dictionary. Traditionally, sparse models have been exploited only after acquisition, typically for tasks such as compression. Recently, however, the …
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The Trainability and Expressivity of Quantum Machine Learning Models
… more and more evidence that precise control of many-body quantum systems yields a method of computation more powerful than what is achievable using conventional models of computation. This culminated in recent years with experimental demonstrations on quantum devices of computational tasks on …
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Robust and Cross-Domain Anomaly Detection and Mitigation
… recall rates, extreme class imbalance, and high noise levels persist. The success of mitigation closely depends on the detection phase. As a strategy to enhance anomaly detection, developing a system that creates an ideal environment for this purpose is proposed. In the realm of supply chain …
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Human metrology for person classification and recognition
… length. Human metrology provides an important soft biometric that can be used in challenging situations, such as person classification and recognition at a distance, where hard biometric traits such as fingerprints and iris information cannot easily be acquired. In this work, we first study the …
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Parameter Estimation from Retarding Potential Analyzers in the Presence of Realistic Noise
… popular since a single current-voltage (I-V) profile can provide in-situ measurements of ion temperature, velocity and composition. The estimation of parameters from an RPA I-V curve is affected by grid geometries and non-ideal biasing which have been studied in the past. In this dissertation, …
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On Distributed and Acoustic Sensing for Situational Awareness
… advances in electronics enable the development of small-sized, low-cost, low-power, multi-functional sensor nodes that possess local processing capability as well as to work collaboratively through communications. They are able to sense, collect, and process data from the surrounding environment …
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Essays on informational frictions in macroeconomics and finance
This dissertation consists of four chapters analyzing the effects of heterogeneous and asymmetric information in macroeconomic and financial settings, with an emphasis on short-run fluctuations. Within these chapters, I study the implications these informational frictions may have for the behavior …