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 32 for “"Advanced Analytics"”.
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Advanced analytics for process analysis of turbine plant and components
This research investigates the use of an alternate means of modelling the performance of a train of feed water heaters in a steam cycle power plant, using machine learning. The goal of this study was to use a simple artificial neural network (ANN) to predict the behaviour of the plant system, …
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Reducing Physician Burnout and Costs in Outpatient Healthcare Settings via Advanced Analytics
… offers actionable insights driven by data and analytics to address the previously mentioned key healthcare challenges. Chapter 2 leverages advanced text analytics to identify work themes of primary care physicians related to inbox message management. A scalable methodology relying on a Latent …
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Data science and advanced analytics : an integrated framework for creating value from data
Fundamental problems in society, such as medical decision support, urban planning and customer management, can be addressed by data-driven modeling. Frequently, the only data available are observational rather than experimental. This precludes causal inference, though it supports quasi-causal …
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Improving supply chain planning with advanced analytics : analyzing lead time as a case study
… The research showed that using predictive analytics to predict lead time (predictive lead time) can reduce the deviation between the planned and actual values in the lead time parameter..Moreover, the analyses showed that using predictive lead time can reduce the safety stock cost, the …
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Causal Inference: Heterogeneous Effects and Non-stationary Environments
… data has unlocked the possibility of using advanced analytics methods to customize marketing strategies. We consider the stage of conversion in a marketing funnel, where a customer has arrived on the platform and chooses whether to purchase one of the options offered. In this thesis, we …
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FORECASTING INTERMITTENT DEMAND FOR AIRCRAFT SPARE PARTS USING MACHINE LEARNING
… highlight opportunities for broader adoption of advanced analytics in defense logistics.
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Digital Thread and Analytics Model to Improve Quality Controls in Surgical Stapler
… into the existing production process 3. Use advanced analytics models to identify key components or measurements that affect the product's Force to Fire final quality inspection results The digital thread and models built laid the groundwork for the Ethicon team to understand the current …
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Wafer defect prediction with statistical machine learning
… a high-level strategy of assessing big data and advanced analytics applications to improve semiconductor manufacturing.
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Unlocking the insights: data-analytic examinations of social signals in organizational practices
Using analytics to understand social data is an emerging research field across different academic disciplines including Information Systems. Information Systems (IS) discipline places the social media-related research at the intersection of people, organizations, and technology. While the recent …
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Towards Zero Defect Manufacturing in Multi-Stage Production Systems
… this tool set with the use of IoT, big data, and advanced analytics. This thesis addresses the problem of how to build a modern quality manufacturing system that continuously reduces scrap and defect rates in the production process. The study adapts a zero defect manufacturing framework and …
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Automated quantification of plant water transport network failure using deep learning
Droughts, exacerbated by anthropogenic climate change, threaten plants through hydraulic failure. This hydraulic failure is caused by the formation of embolisms which block water flow in a plant's xylem conduits. By tracking these failures over time, vulnerability curves (VCs) can be created. The …
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Estimating Poverty from Aerial Images Using Convolutional Neural Networks Coupled with Statistical Regression Modelling
Policy makers and the government rely heavily on survey data when making policyrelated decisions. Survey data is labour intensive, costly and time consuming, hence it cannot be frequently or extensively collected. The main aim of this research is to demonstrate how Convolutional Neural Network …
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Toward a sustainable energy future: Peak load shaving in commercial properties to reduce cost of energy
Transitioning from fossil fuel-based energy systems to renewable sources is a is a global environmental imperative. South Africa has a coal-based energy sector, and consumers could be incentivised to pursue renewable energy alternatives if these solutions were financially advantageous. In South …
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Modelling non-linearity in 3D shapes: A comparative study of Gaussian process morphable models and variational autoencoders for 3D shape data
The presence of non-linear shape variation in 3D data is known to influence the reliability of linear statistical shape models (SSM). This problem is regularly acknowledged, but disregarded, as it is assumed that linear models are able to adequately approximate such non-linearities. Model …
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Fostering the effectiveness of reportable arrangements provisions by enhancing digitalisation at the South African Revenue Service
… degeneration of SARS systems whilst technology advanced internationally. Digitalisation at SARS is crucial to address aggressive tax planning that has become more advanced as a result of the mobility of the digital economy. This study used a qualitative research methodology based on exploratory …
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Bridging the gap: factors driving retail analytics adoption in traditional retail businesses
… South Africa's traditional retail sector adopts advanced analytics amid infrastructural, cultural, and economic constraints. Guided by the Technology Organisation-Environment (TOE) framework and Diffusion of Innovations (DOI) theory, it addresses a critical gap in understanding the interplay of …
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Using predictive analytics to address risk in complex supply chains
… trust, 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 …
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Improving the effectiveness and efficiency of dynamic malware analysis using machine learning
… the way software security is managed by using advanced analytics (i.e., machine learning) and significantly more automation to develop adaptable malware analysis engines that correctly identify, categorize, and characterize malware. ☐ In this dissertation, we introduce a next-generation sandbox …
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A hierarchical time-indexed database for multi-modal derived sensor data using GPU-accelerated PostgreSQL
… for exploiting these multi-modal data using advanced analytics. However, the ability to effectively utilize these growing datasets is contingent upon high-performance data-handling systems that ensure high data scala- bility and effortless data accessibility, especially in various fields …
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