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 93 for “"predictive analytics"”.
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Wireless Network Congestion Management Using Predictive Analytics
… as minimumcost/time as possible. We implement a predictive strategy in the networks forthem to land on an available channel in the shortest time possible minimizing thecollisions among themselves. Thus, we investigate various predictive algorithmsand observe how a self-learning approach can be …
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Predictive analytics for crude oil tanker markets
… analytical advantage. In this thesis, we develop analytics models to predict average earnings in the VLCC and Suezmax tanker market segments. Through the use of principal components regression, we forecast market returns with endogenous and exogenous market factors. A challenge lies in the fact …
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Predictive analytics of active learning based education
Learning Analytics (LA) is defined as the collection, measurement, and analysis of data related to student performance such that the feedback from the analytical insights can be used to optimize student learning and improve student outcomes. Blended Learning (BL) is a teaching paradigm that …
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Admission Control in Sliced Networks, with Predictive Analytics
… and the state-of-the-art of the application of predictive analytics to admission control. We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. A real IP network dataset, containing network flows collected from …
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Enhancing Manufacturing Performance to Plan with Predictive Analytics
… performance can be used to revise a plan, using predictive analytics models trained on the characteristics of the plan. To this end, 480+ features are developed to describe plan characteristics and recent manufacturing performance. Several algorithms are utilized to evaluate the relationship …
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Cross-channel predictive analytics for retail distribution decisions
… significant features are identified and a predictive model is developed demonstrating significant WMAPE improvement for initial shipments to brick-and-mortar stores ( 0.23), moderate improvement for replenishment shipments to e-commerce ( 0.05) and limited improvement for replenishments to …
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Machine learning in predictive analytics on judicial decision-making
… skill sets beyond a traditional law degree. Predictive analytics applied to judicial decision-making raise interesting discussions around potential benefits to the general public, over-burdened judicial systems and legal professionals respectively. It is also associated with limitations and …
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Predictive analytics for inventory in a sporting goods organization
Inventory management for retail companies has become increasingly more important in recent years as competition grows and new supply chain models are implemented. Inventory levels have implications on not only the financial side of the business, but also on brand perception in the marketplace. …
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Predictive Analytics Applications for Oil and Gas Processing Facilities
… potential process upsets timely. In addition, predictive models can also be incorporated into digital twins to emulate diverse operating scenarios for production optimization or facility design purposes. This thesis investigates and reviews the application of predictive analytics on process …
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Using predictive analytics to address risk in complex supply chains
… and (3) demonstrate how LF is using advanced analytics to build a better supply chain. This project includes three primary components. First, an assessment to evaluate the impact of incidents on LF was performed, by investigating several case studies of different incident types in different …
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Advanced Functionality of Digital Mining Predictive Analytics and Insights Platform
… acquired in 2020. CR Digital uses Orion, an analytics portal, to display meaningful insights from the data generated by the three products and dashboards that provide a better visual representation of the data. CR’s high level goal is to increase revenue for its digital products in the …
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The Role of Feedforward-Enabled Predictive Analytics in Changing Mental Models
… on a feedback-enabled view and generally lack a predictive (feedforward-enabled) view of the likely outcomes of the decision. The purpose of this research is to study how changes in mental models can be facilitated through this feedforward mechanisms within the DSS tool. This research used a …
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An interoperable electronic medical record-based platform for personalized predictive analytics
… have used observational data for developing predictive modeling to best predict health outcomes according to patients’ variables. Although numerous predictive models have been reported in the literature, not all models present high prediction power, and as the result, not all models may reach …
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Predictive analytics for maintenance activities in nuclear power plants: a feasibility study
… are developed based on results to showcase how predictive analytics can be used in nuclear power plant maintenance. This work is a proof of concept informing stakeholders that data driven approaches are viable in reducing maintenance delays.
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Predictive analytics for smart manufacturing : use and impact from a systems thinking perspective
… Controlled (CNC) machining processes by using a predictive model based on the cutting sound data. With advances in machine learning algorithms and predictive analytics techniques, it becomes possible to create a noise-robust predictive model from an unstructured dataset of sound data. It is an …
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Compressive Sensing Approaches for Sensor based Predictive Analytics in Manufacturing and Service Systems
… decisions are typically made based on the predictive analysis of the sensor data, so called sensor-based predictive analytics. Sensor-based predictive analytics encompasses a variety of statistical, machine learning, and data mining techniques to identify patterns between the sensor data …
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