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 46 for “"Predictive Analysis"”.
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Predictive analysis of metabolic and preventive patient data
… population show increased levels of HPL, in this analysis 84.9 % of the tested patients have an increased concentration of HPL. Prevention is illustrated by using decision tree models to predict diseases. Evaluation of the obtained model for Hashimoto’s disease yield an accuracy of 87.5 %. The …
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A sample selective linear predictive analysis of speech signals
The Linear Prediction Analysis is one of the popular methods of processing speech. But it has problems in estimating the vocal tract characteristics of voiced sounds uttered by females and children. This is because the conventional linear prediction method assumes that all the sample values in each …
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A Predictive Analysis of Electronic Healthcare Records for Stroke Symptoms
… machine learning techniques are used for the analysis of data derived from these patient records. The predictive techniques have been widely applied in clinical decision making such as predicting occurrence of a disease or diagnosis, evaluating prognosis or outcome of diseases and assisting …
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The restructuring of the Open Learning Agency: a predictive analysis
This paper presents a case study and analysis of changes in the organizational structure of the Open Learning Agency (OLA) of British Columbia in 1992. Under the aegis of the Ministry of Advanced Education, Technology and Training, the Agency carries a five-fold mandate - in collaboration with …
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Predictive analysis of real-time strategy games using graph mining
… and decrease those of your opponent. Using predictive analytics, which examines past examples of success and failure, we can learn how to predict positive outcomes for such scenarios. To do this, one way to represent this type of data in order to model relationships between entities is by …
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Predictive analysis of installation and operational qualification issues vs. process severity events
As the retail industry grows more popular, ABCD, a world-class electronic commerce (e-commerce) business, is increasingly building new Fulfillment Centers (FCs) to support this rapid demand growth. It is integral for ABCD to validate the installation quality and functionality of Material Handling …
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Parametric and predictive analysis of horizontal well configurations for coalbed methane reservoirs in Appalachian Basin
… gas recovery, using detailed sensitivity analysis, parametric study and intelligent modeling approach.
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Predictive Analysis of Arizona Dust Storms (1996–2023): GIS, Artificial Intelligence (MaxEnt), and Spatiotemporal Data
… can exist can also apply to dust storms. The analysis utilizes historical dust storms instances from 1996 to 2023 and integrated land cover and land use (LCLU), effective specific humidity, specific humidity, wind speed, maximum wind speed, elevation, and temperature. These variables were …
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Polynomial approximations for fast predictive analysis of infrastructure systems: Applications to power and transportation systems
The student, Negin Alemazkoor, accepted the attached license on 2019-08-21 at 11:03.
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Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling
… UBECO Profil, AutoCAD, and Finite Element Analysis (FEA) software such as LS-DYNA. Initial simulations of a square tube profile identified key stations and led to performance enhancements through targeted adjustments. Stress and strain analyses demonstrated how operational factors, such as …
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Neural Network Gaussian Process considering Input Uncertainty and Application to Composite Structures Assembly
… assembly process. It requires accurate predictive analysis on deformation of the composite structures to improve production quality and efficiency of composite structures assembly. The novel composite structures assembly involves two challenges: (i) the highly nonlinear and anisotropic …
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Compressive Sensing Approaches for Sensor based Predictive Analytics in Manufacturing and Service Systems
… decisions such as fault diagnosis (root cause analysis), and real-time process monitoring. These quality improvement 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 …
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Damping estimation, response prediction and fatigue calculation of an operational single pile platform
… Island Block 33B platform) is presented. In the predictive analysis, a finite element model of the structure and a theoretical assessment of damping phenomena are combined with a response prediction method which utilizes the principle of reciprocity of ocean waves. The result is a versatile …
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Course climate, student stress and practitioner burnout
… and Students: Comparative Results and Predictive Analysis) compares the physical and psychological health of social work students with the health of social work practitioners, and provides a predictive analysis of the variations of the health of the two groups. Chapter Six discusses the …
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A Narrative-Focused Machine Learning Approach to Predicting Feature Film Success
… and subjectivity to produce feature films. The analysis of the relationship between a screenplay’s narrative and a film’s success has been widely overlooked due to the challenges involved in data acquisition and complexity. This study investigates the predictive power of narrative structure on …
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Stochastic modeling in computational electromagnetics
… macromodeling technique is developed for the predictive analysis of the impact of interconnect routing uncertainty on their transmission properties. The last stochastic application presents an expedient methodology for the predictive analysis of the impact of statistical disorder on the …
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EXPLORING IMPACT OF EDUCATIONAL AND ECONOMIC FACTORS ON NATIONAL INTELLECTUAL PRODUCTIVITY USING MACHINE LEARNING METHODS
… each year. Using Machine Learning algorithms and predictive analysis on fifty years worth of data to determine what macroeconomic and educational factors have the most impact on patents. The first part of this study describes the methods and algorithms used during this research. The second part of …
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