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 86 for “"small data"”.
-
Machine learning-enabled classification of climbers using small data
… are popular for complex problems like this. The dataset available was composed of dynamic force data recorded during climbing; however, this dataset came with challenges such as data scarcity, imbalance, and it was temporally heterogeneous. Investigated solutions to these challenges include data …
-
Machine learning for large and small data biomedical discovery
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
-
A Fuzzy/Neural Approach to Cost Prediction with Small Data Sets
… combinations of fuzzy and neural systems. The data set available for this cost prediction problem consists of variables such as test duration, thrust, and many other similar quantities, unfortunately it is small and incomplete. The first method implemented to perform this cost estimate uses the …
-
Plumbing the Depths of the Shallow End: Exploring Persistent Homology Using Small Data
… homology is a prominent tool in topological data analysis. This thesis is designed to be an introduction and guide to a beginner in persistent homology. This comprehensive overview discusses the math used behind it, the code needed to apply it, and its current place in the field. We explain …
-
Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the context of Covid-19 in Boston
… Using K-means clustering to analyze time series data based on positive review quantities, restaurants are clustered into four typologies for digital engagement level. Second, three neighborhoods are selected as study areas for different distributions of store typologies. Finally, site visits and …
-
Global in time existence of Sobolev solutions to semi-linear damped sigma-evolution equations in L^q scales
… is to prove the global (in time) existence of small data Sobolev solutions to semi-linear damped σ-evolution equations from suitable function spaces basing on L^q spaces by mixing additional L^m regularity for the data on the basis of L^q-L^q estimates for solutions, with q∈(1,∞) and m∈[1,q), …
-
A Small Slow and Street Approach to Research. Seeking justice in the risk landscapes of Gela, a Sicilian petrochemical town.
… and planning in risk landscapes by proposing “a small, slow, street-approach” (SSS). Stemming from the definition of the landscape by the European Landscape Convention as “an area as perceived by people whose character is the result of the action and interaction of natural and/or human factors” …
-
Skin deformation and animation of character models based on static and dynamic ordinary differential equations.
… realistic skin deformations efficiently with a small data set is a big challenge. In order to address the limitations of skin deformation, this thesis presents a workflow consisting of three main steps. First, the research has developed a new statistical method to determine the positions of …
-
A privacy preserving online learning framework for medical diagnosis applications
… diagnosis framework. Most local sites have small data sets, and machine learning models developed locally based on small data sets, do not have knowledge about other data sets and learning models used at other sites. The work in this thesis utilizes the framework of coordinating the …
-
Generating new data points using singular value decomposition
… solution to the challenge of generating new data points for small data sets. It introduces a Single Value Decomposition (SVD)-based model that draws inspiration from the ability of SVD to estimate a lower rank matrix. This approach seeks to overcome the limitations imposed by sample size …
-
Semilinear Systems of Weakly Coupled Damped Waves
In this thesis we study the global existence of small data solutions to the Cauchy problem for semilinear damped wave equations with an effective dissipation term, where the data are supposed to belong to different classes of regularity. We apply these results to the Cauchy problem for weakly …
-
Differential equation-based shape interpolation for surface blending and facial blendshapes.
… ability in describing complicated shapes, and small data of geometric models. Among various applications of differential equation-based shape interpolation, surface blending and facial blendshapes are two active and important topics. Differential equation-based surface blending can be …
-
Practical methods for data mining with massive data sets
The increasing size of data sets has necessitated advancement in exploratory techniques. Methods that are practical for moderate to small data sets become infeasible when applied to massive data sets. Advanced techniques such as binned kernel density estimation, tours, and mode-based projection …
-
Effects of space weathering on the Trojan asteroids
… of fifteen asteroids, five (from the SMASS 1 data set) were small, and ten (newly collected data) were large. The actual results did not match our expected results, most likely due to the large error bars and the small data set. Space weathering may affect Trojans in the same way as it does …
-
Acoustic-based machine learning diagnostic tool for voice disorders
… as input, and a novel CNN model using data augmentation idea with scalogram of the speech as input. The deep acoustic recurrent model explores the relationship of frame-based cepstral features with RNN model. Two novel cepstral features based on cepstrum are proposed: Second Peak …
-
Design and fabrication of a solar-powered Bluetooth Low Energy device
… power from solar cells, collects temperature data from a sensor, and sends the data to a phone application via Bluetooth Low Energy (BLE) wireless technology. BLE is suited for use with solar technology because of its low energy consumption. Although limited to small data packets and a range …
-
Interactive visualization of big data leveraging databases for scalable computation
Modern database management systems (DBMS) have been designed to efficiently store, manage and perform computations on massive amounts of data. In contrast, many existing visualization systems do not scale seamlessly from small data sets to enormous ones. We have designed a three-tiered …
-
Stabilising Semiconducting Polymers Using Solid State Molecular Additives
… effect transistors by incorporating solid state small molecular additives. Simulations predict that the additives improve stability by introducing a competitive recombination pathway in order to prevent the trapping of electrons in the LUMO of the semiconductor by atmospheric species. …
-
Data-Driven Park Planning: Comparative Study of Survey with Social Media Data
… perceptions of linear parks, and (3) to compare small data with big data. This chapter discusses the main findings and their implications for practitioners such as landscape architects and urban planners. It has three sections. The first addresses the main findings in the order of the research …
-
Analysis of the crash potential at signalized intersections with trap lanes
… signalized intersections. Field and historical data from fifty-four locations within the Las Vegas Metropolitan Area were used for the analysis. Bivariate and subset linear regression analyses were used to evaluate the relationship of several predictor variables to three dependent variables …
Page 1 of 5