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 28 for “"Data Filtering"”.
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Data Filtering and Modeling for Smart Manufacturing Network
… communication, and actuation networks. The data generated from the networks are used in data-driven modeling and decision-making to improve quality, productivity, and flexibility while reducing the cost. This dissertation focuses on improving the data-driven modeling of the quality-process …
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Digital signal processor software for the high-energy transient experiment satellite : video data filtering and storage
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Eventing architecture : RFID and sensors in supply chain
We propose data structures to describe and query streaming RFID and sensor data. Furthermore, we propose an architecture built atop these data structures to build arbitrary real-time applications. To understand the nature of these applications, we decompose such systems into four layers: Physical, …
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Noisy with a Chance of Mislabels: A Local and Training Dynamics Perspective on Detecting Label Noise in Deep Classification
… and mitigating the influence of mislabeled data is essential to improving both performance and interpretability. Building on insights from training dynamics, we propose Local Consistency across Training Epochs (LoCaTE), a class of data-filtering methods that leverages over-parameterized and …
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Recommender System for Audio Recordings
… three recommendation engines using different data filtering methods – named weighted-average, K-nearest neighbors, and item-based – which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of …
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Data curation for foundation model training
… driving innovation. Given that the amount of data available for training these models was often limited, research aimed on improving the way these relatively small amounts of data could be used. More recently, this focus has shifted from iteration on the algorithms to iteration on the data …
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High-Dimensional Generative Models for 3D Perception
… and interpreting the three-dimensional data of the real world. Understanding the world's geometric structure by visual data is known as 3D perception. The necessity of analyzing irregular and complex 3D data has led to the development of high-dimensional frameworks for data learning. …
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Machine Learning–Based Detection of Network Failures in Core Network Cellular Data
… mobile networks and the large volume of traffic data generated by multiple network elements make it difficult for Mobile Network Operators (MNOs) to accurately identify operational irregularities and reliably distinguish true network failures from normal network traffic. This study analyses …
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Acoustic Emission Fatigue Crack Monitoring of a Simulated Aircraft Fuselage Structure
… map (SOM) neural network. By using proper data filtering before the SOM was run and using the correct classification parameters, it was shown that this is a highly accurate method of classifying AE waveforms from fatigue crack growth. This initial classification was done using AE waveform …
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Adaptive slicing of cloud data for reverse engineering and direct rapid prototyping model construction
… conventional surface modelling from point cloud data is time-consuming and requires expert modelling skills. One of the innovative modelling methods is to directly slice the point cloud along a direction and generate a layer-based model, which can be used directly for fabrication using rapid …
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BayesDB : querying the probable implications of tabular data
BayesDB, a Bayesian database table, lets users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users with little statistics knowledge can solve basic data science problems, such as …
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Implementation and comparative analysis of supervised machine learning methods for domain modeling and grade estimation techniques
… errors due to manual interpretation of detailed data leading to economic viability issues due to uncertainties associated with the estimates. Geostatistics, while a predominant method in resource modeling, depends on assumptions that may not always hold true, and common practices, such as …
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Exploring the landscape of backdoor attacks on deep neural network models
… to raise suspicion whenever even a rudimentary data filtering scheme flags them as outliers. This makes label-consistency -- the condition that inputs are consistent with their labels -- crucial for these attacks to remain undetected. We draw on adversarial perturbations and generative methods …
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Uncertainty analysis of acoustic flow measuring instruments for characterization of high energetic river flow
… methods and statistical analysis to recorded data. A MATLAB code is developed for motion compensation and data filtering. The methodology adopted is to perform acoustic measurements in a controlled laboratory setting and in an energetic river test site at Reynolds number from 0.05x10^7 to …
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RACE-Seq identifies the Argonaute-2 cleavage products of RNA interference-based oligonucleotides
… focused on optimising the library preparation, data filtering and data presentation for RACE-Seq. A simplified, low computation data analysis pipeline was designed and used to align the filtered dataset to a reference sequence and to count the 5’ ends. RACE-Seq is presented as a suitable …
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An investigation into the relationship between knee axis alignment and swing phase whip during trans-femoral amputee gait
… plates were used tocollect kinematic and kinetic data of the gait of the amputee participant under fourdifferent alignment conditions. The effects of changing prosthetic knee axis alignmentin the coronal and transverse plane on lateral whip gait deviation in particular and on thegait pattern in …
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The selection of different averaging approaches on whole-body vibration exposure levels of a driver utilising the ISO 2631-1 standard
… STATA software package was utilised to clean the data. Statistical analyses included hypothesis testing in the form of one-way ANOVA and Kruskal-Wallis one-way analysis of variance by ranks to determine significant differences between integration intervals. Logged data time-series durations showed …
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On the profitability of technical trading
… a very large sample of ultra high-frequency data is used to investigate intraday momentum and reversal effects. As well as being an important contribution to research in this field, the results are, once again, of relevance to practitioners. The need for further research into technical …
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Field Use Of An Acoustic Surrogate System To Monitor Gravel Bed Load Flux
… the methodology best suited to collect these data. Many studies have been done to alleviate this problem, both through physical and surrogate methods. Physical methods include bed load traps that provide data over a specific time frame, but the fluctuation of sediment can change drastically …
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Dynamic Causal Modeling Across Network Topologies
… the most likely model given experimental data. Inter-subject analysis using DCM is complicated by differences in model topology, which can vary across subjects due to errors in the first-level statistical analysis of fMRI data or variations in cognitive processing. This requires …
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