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 9 of 9 for “"Data-Driven Analytics"”.
-
Data-Driven Analytics for Oil and Gas Reservoir Production Forecasting
… time consuming). Presence of a high-dimensional data space consisting of a large number of operational and geological parameters impedes practical decision making and future performance prediction of oil and gas recovery processes. Thus, the rise of uncertainty-based reservoir development …
-
Technology-Driven Solutions for Smarter Care: Telemedicine, Data-Driven Analytics, and AI in Healthcare Operations
… digital technologies, including telemedicine, data-driven analytics, and artificial intelligence, can be leveraged to improve care coordination, demand management, and health outcomes. It comprises three interrelated parts, each applying a distinct methodological lens (game-theoretic modelling, …
-
Data-driven analytics to explore associations between risk and protective factors and school absenteeism for secondary school students
… discovery analysis techniques to student-level data, this study analyzed the interconnectivity of partial-day absence and full-day absence by comparing risk and protective factors operationalized by specific student-reported factors were included in the analysis based on Bronfenbrenner’s …
-
Improving farmers' and consumers' welfare in agricultural supply chains via data-driven analytics and modeling : from theory to practice
… Market Platform (UMP). Leveraging both public data and platform data, a difference-in-differences analysis in Chapter 2 suggests that the implementation of the UMP has significantly increased modal price of certain commodities (5.1%-3.5%), while prices for other commodities have not changed. …
-
A Data Driven Approach to Uncovering Energy Consumption Reduction Opportunities Within Industrial Operations
… in industrial settings. By integrating data-driven analytics with continuous improvement principles, this methodology is able to uncover tangible operational improvements without substantial capital expenditure. Central to the proposed methodology is the identification of the core …
-
Using Data To Optimize The Fulfillment And Location Decisions Of An Online Grocery Retailer
… of delivery zones and fulfillment models using data-driven analytics. We show that the retailer’s choice of fulfillment offerings is economically important using a regression-discontinuity design framework. In the next step, we build and estimate a structural model based on our empirical …
-
Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record
We live in a world where data surround us in every aspect of our lives. The key challenge for humans and machines is how we can make better use of such data. Imagine what would happen if you were to have intelligent machines that could give you insight into the data. Insight that will enable you to …
-
Smart Additive Manufacturing Using Advanced Data Analytics and Closed Loop Control
… generate a massive amount of real-time process data, which provides excellent opportunities to address the barriers of online quality assurance in AM through data-driven perspectives. Although this direction is very promising, the online sensing data typically have high dimensionality and …
-
Towards a Cyber-Physical Manufacturing Cloud through Operable Digital Twins and Virtual Production Lines
… systems that collected real-time machining data to perform remote monitoring, prognostics and health management, and predictive maintenance. However, these CPS-integrated and network ready machines were not directly connected to the elements of Cloud Manufacturing and required …