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 20 for “"Crowdsourced Data"”.
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Collective artificial intelligence : simulated role-playing from crowdsourced data
… (CAl) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process for compositing recorded performances from thousands of humans, and simulating open-ended …
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Sensing Urban Dynamics Through Crowdsourced Data with the Support of Machine Learning Techniques
Crowdsourced data such as social media data, points of interest and geotagged images has attracted the attention of urban researchers, as it provides first-hand information regarding human activities, perception and the interaction with the built environment, helping researchers illuminate a richer …
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Leveraging Open-Source and Crowdsourced Data to Evaluate Spatial Justice in Cultural Planning
With the rise of data-driven planning and decision-making, fueled by the abundance of digital information, data are increasingly being positioned as a "common language" for interrogating the built environment. These claims perceive data as neutral representations of reality, overlooking the social, …
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Validating the Quality of Crowdsourced Data for Flood Modeling of Hurricane Harvey in Houston, Texas
… years, Volunteered Geographic Information (VGI) data such as social media and crowdsourced data arise as an alternative and supplementary data source to enhance the exercise of flood inundation mapping. However, compared to authoritative data acquired by government agencies (i.e. stream gage …
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The Complexities of Walking and Rolling: Using Crowdsourced Data to Understand and Analyze the Mobility Barriers Vulnerable Populations Experience as Pedestrians
… identifies critical gaps in mobility policy, data, and street design, highlighting the inadequacies of current civic infrastructure in serving diverse populations and understanding pedestrian challenges. While policy directives often target the demographic majority, they overlook those facing …
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Optimizing, Testing, and Securing Mobile Cloud Computing Systems For Data Aggregation and Processing
… new paradigms and fields of research, such as crowdsourced data collection, and has helped spur substantial changes in research fields such as vehicular ad hoc networking. However, the growth of Mobile Cloud Computing has resulted in a number of new challenges, such as testing large-scale …
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Understanding MapSwipe: Analysing Data Quality of Crowdsourced Classifications on Human Settlements
Geodata is missing to populate maps for usage of local communities. Efforts for filling gaps (automatically) by deriving data on human settlements using aerial or satellite imagery is of current concern (Esch et al., 2013; Pesaresi et al., 2013; Voigt et al., 2007). Among semi-automated methods and …
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SYMBIOSIS, COGNITION, EMPATHY: SHAPING BEHAVIOR AND ENHANCING AI IN DIGITAL ECOSYSTEMS
… platform resilience, content engagement, and AI data integrity, it applies principles of ecological interdependence (symbiosis), analyzes cognitive responses to online discourse, and investigates empathy's role in data quality.The first study investigates Korea's gaming ecosystem during COVID-19 …
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Application of Deep Learning in Intelligent Transportation Systems
… knowledge in ever-increasing spatiotemporal and crowdsourced information collected from various sources such as mobile phone sensors (e.g., GPS sensors) and social media networks (e.g., Twitter). Data mining and machine learning techniques are the major tools for analyzing the collected data and …
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Tracking Disaster Dynamics for Urban Resilience: Human-Mobility and Semantic Perspectives
… and uses voluntarily reported geo-referenced data collected through a Twitter Streaming API. After multiple investigations on diverse types of natural disaster (e.g. severe winter storm, flooding, hurricane, and earthquake), I develop a Detecting Urban Emergencies Technique (DUET), as the …
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Transforming waste management systems through location tracking and data sharing
… using GPS and web-based mapping. Such data change the interaction between citizens, local government, and service providers, by revealing inefficiencies or fraud in disposal practices, or building trust between stakeholders and enabling alternative approaches for contracting waste …
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Data proxies, the cognitive layer, and application locality : enablers of cloud-connected vehicles and next-generation internet of things
… for cars to sense, infer, and act facilitates data-driven improvements in occupant experience and vehicle design. This thesis explores informed individual vehicle improvements and proposes a secure and efficient architecture supporting connected vehicle applications. Applying On-Board …
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Towards inclusive geodesign: Crowdsourced approach to inform landscape perception and sustainability
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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The restructure of amenities in Beijing's peripheral residential communities
… Using Huilongguan as a case study, research data are obtained from the Huilongguan Community Forum and Dazhongdianping website. The addition of amenities, such as transportation, shopping malls and work zones, is examined to discover how their restructuring affects the daily lives of …
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A Citizen-Science Approach for Urban Flood Risk Analysis Using Data Science and Machine Learning
… the comprehension of urban 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 …
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Design problems in crowdsourcing: improving the quality of crowd-based data collection
… be described in many ways. Having detailed metadata and various people's interpretations of the object helps in providing better access and use. While collecting novel descriptions is challenging, crowdsourcing is presenting new opportunities to do so. Large-scale human contributions open the …
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Quality in crowdsourced experience-based evaluations : handling subjective responses
… several challenges especially when potential data quality issues, such as a lack of reliability on XBEs provided by a large and heterogeneous group of (anonymous) sources, need to be handled. In this dissertation, challenges connected with the characterization, processing and quality of XBEs …
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Mobile phone technology as an aid to contemporary transport questions in walkability, in the context of developing countries
… as a useful alternative tool to collect this data and audit the state of walkability in cities. They eliminate the inaccuracies and inefficiencies of human memories because smartphone sensors such as GPS provides information with accuracies within 5m, providing superior accuracy and precision …