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 52 for “"Crowd-Sourced"”.
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Feature Factory : a collaborative, crowd-sourced machine learning system
… a machine learning learning system designed to crowd-source feature discovery called Feature Factory. Feature Factory provides a complete web-based platform for users to define, extract, and test features on any given machine learning problem. This project involved designing, implementing, and …
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Crowd-sourced data and its applications for new algorithms in photographic imaging
… In recent years web-based experiments, and the crowd-sourced data they can deliver, have been rising in popularity among the research community for several key reasons – primarily ease of administration and easy access to a large population of diverse participants. However, the level of control …
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WiSDM: a platform for crowd-sourced data acquisition, analytics, and synthetic data generation
… we present the design and implementation of a crowd-sourced surveillance data acquisition system -- WiSDM. WiSDM is a web-based application and can be used by anyone with access to the Internet and a browser. Furthermore, it is designed to leverage online survey tools and MTurk; WiSDM can be …
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New Opportunities in Crowd-Sourced Monitoring and Non-government Data Mining for Developing Urban Air Quality Models in the US
… levels. Local communities also benefit from crowd-sourced monitoring to measure air pollution, particularly with the help of rapidly developed low-cost sampling technologies. The shift from relying only on government-based regulatory monitoring to crowd-sourced effort has provided new …
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Parasitism of Scarabaeidae by Parasitoid Flies in British Columbia and Western USA: Informing Biological Control Programs Against Popillia japonica with Crowd-sourced Records of Non-target Scarab Beetles
… invasive scarab beetle Popillia japonica, I used crowd-sourced online data (44,200 observations in BC and Western USA) to determine: scarab species occurrence; which species may be attacked by parasitoid flies; whether any bore eggs that resemble I. aldrichi; and the relative risk of I. aldrichi …
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FlavorCharter: Development of a Framework for Quantifying and Visually Analyzing Flavor Perception
… framework composed of a mobile platform for crowd-sourced sensory data collection and an interactive visualization environment for exploratory analysis. This integrated system bridges data acquisition and visual reasoning, enabling both large-scale collection and interpretability of flavor …
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A Citizen-Science Approach for Urban Flood Risk Analysis Using Data Science and Machine Learning
… flood risk using data science techniques on crowd-sourced data. This is accomplished by developing a series of data-driven models to identify flood factors of significance and localized areas of flood vulnerability in New York City (NYC). First, the infrastructural (catch basin clogs, manhole …
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Crowd equals diversity? a diversity analysis on participation of agency-sponsored open innovation challenges
… public agencies with STEM missions have explored crowd-sourced, open innovation challenges as a potential solution. To probe whether and how diversity has been achieved in this context, this thesis addresses three goals: (i) understanding the multi-faceted nature of diversity and its determinants …
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Marijuana Demand: An Instrumental Variable Approach
This paper uses crowd-sourced transaction data from a cross-section of the US to examine demand for marijuana. State and regional variations in consumption, price and quality are explored. Marijuana tends to be cheapest and of the highest quality in the west. The responsiveness of the demand for …
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Computer Sketch Recognition
… Current techniques classify a 20,000 sketch crowd-sourced dataset with 56% accuracy. I classify the same dataset with 52% accuracy, but identify factors that have the greatest effect on the accuracy.</p> <p>The ability for computers to identify human sketches would be useful particularly in …
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Conversation on saving a historical community : a participatory renewal and preservation platform
… proposals for development reference based on crowd sourced materials. Furthermore, to establish also an experienceable digital world, archived from the evidence uploaded by stakeholders of heritages that are marked by bureaucrats for demolition. In the end, win or lose, the stakeholders will …
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Natural Language Interfaces for Data Analytics
… and labor-intensive expert annotations or crowd-sourced examples. Finally, we conducted a study to compare our proposed paradigm to drag-and-drop mechanisms. Not only does our best-performing model, Alcurve, achieve an 86.3% test accuracy on real user input, it also enables users to be 30% …
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Modelling and Data Analysis for the Design of Modern Urban Mobility
… employees swapping batteries, charging stations, crowd-sourced, etc.). We develop a model that allows the direct comparison of different mechanisms and quantifies their impact on platform performance. In order to achieve this, novel ideas for analyzing the underlying stochastic process are …
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Bikebump : collective urban design
… will focus on the development of a bottom-up, crowd-sourced, urban planning tool to improve the quality and safety of urban bike lanes. A mobile application will be developed to enable non-experts to actively participate in the process of real time data collection and feedback, mapping, …
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Benchmarking models of the ventral stream
… to measure models of the ventral stream using crowd-sourced human behavioral measurements. We collected human error patterns on an object recognition task across a variety of images. By comparing the error pattern of these models to the error pattern of humans, we can measure how similar to the …
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Workplace Posture Assessment and Biofeedback with Kinect
… of posture captures to test and train, applying crowd-sourced voting to determine ratings for a subset of these captures. Leveraging this data set, we apply machine learning to develop a classification tool. Finally, we explore and compare the usage of depth information in conjunction with a …
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A Framework for LLM-based Lifelong Learning in Robot Manipulation
… we conduct a focused study of GPT-4, using crowd-sourced scene and task datasets, finding that language models are capable agents of skill reuse and adaptation. We observe that while performance is dependent on language context, supplying optimized prompts can yield exceptional skill reuse …
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Beyond transparency : collective engagement in sustainable design
… or sustainable design. This thesis proposes a crowd-sourced approach to resource accounting through the democratization of sustainable design. A web-based social network called Sourcemap was built to link diverse stakeholders through an open forum for supply chain transparency and environmental …
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Methods for Extracting and Analyzing Political Content on TikTok
… a blend of advanced computational tools and crowd-sourced evaluations to delve into the mechanisms through which political influence is both exerted and perceived on the platform. For data collection, the study employed TikAPI, a tool designed for systematic scraping of TikTok videos, which …
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