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 27 for “"quality prediction"”.
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Sketch Quality Prediction Using Transformers
The quality of an input sketch can affect performance of the computational algorithms. However, the quality of a sketch is not often considered when working with sketch tasks and automated sketch quality prediction has not been previously studied. This thesis presents quality prediction on the …
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Machine learning based speech quality prediction
Instrumental speech quality prediction is a long-studied field in which many models have been presented. However, in particular, the single-ended prediction without the use of a clean reference signal remains challenging. This thesis studies how recent developments in machine learning can be …
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Quality prediction and control of continuously cast slabs
Please read the abstract (Summary) in the section, 00front of this document
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Optimizing Perceptual Quality Prediction Models for Multimedia Processing Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Power quality prediction based on determination of supply impedance
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Advancing Video Communication: From WebRTC Quality Prediction to Green Applications
… this dissertation presents novel approaches for Quality of Experience (QoE) prediction in Web Real-Time Communication (WebRTC)-based applications through multimodal analysis of naturally available user feedback signals. The research develops comprehensive frameworks for both quality estimation …
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Water quality prediction for recreational use of Kranji Reservoir, Singapore
… diseases, a practical microbial water quality prediction program has been built up to evaluate the safety of the recreational use of Kranji Reservoir. E. coli bacteria concentrations within the reservoir were adopted as an indicator of recreational water quality. Dynamic …
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On-line Final Quality Prediction for Multiphase Batch Processes with Uneven Durations
… present significant challenges for on-line quality monitoring – transient, uneven batch durations, multicollinearity of variables, multiphase behaviour, and lack of availability for real-time quality sensors. Off-line quality control strategies are insufficient since no timely corrective …
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Deep learning applications in hyperspectral imaging for agriculture: image reconstruction and model design for quality prediction
… HSI enables advanced analysis of key quality attributes in agricultural products. Despite the benefits, the adoption of HSI remains limited due to the high cost and complexity associated with collecting and processing hyperspectral data. To address these challenges, this thesis …
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An end-to-end online quality prediction system for ultrasonic metal welding based on deep learning
… there is a strong need for predicting joint quality quickly, reliably, and non-destructively. State-of-the-art quality assessment methods such as destructive tensile testing and quality monitoring cannot meet the high requirements in industrial-scale production. This thesis proposes a novel …
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A framework for Improving Hydrologic and Water Quality Prediction in Urbanized Watersheds through Stakeholder Co-Design and Multi-Model Integration
… framework for simulating water quantity and quality applied within the Occoquan Watershed in Northern Virginia, USA. The framework represents a novel advancements in watershed modeling by addressing persistent design limitations in existing approaches by: (1) supporting multi-functional …
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Concurrent design for optimal quality and cycle time
… modeling approach is used to tackle the problem: quality prediction and production prediction. The quality prediction model projects the process variations into the output quality variations at each manufacturing stage, then predict the yield rate from the stochastic behavior of the variations and …
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A GAN-Augmented Machine Learning Framework for Predicting Raman Characteristics in Carbon Nanofiber Synthesis
… framework for predicting the structural quality of Carbon Nanofibers (CNFs) synthesized via Chemical Vapor Deposition (CVD). Building upon prior work employing Conditional Tabular GAN (CTGAN) for data augmentation and XGBoost for quality prediction, this thesis expands the methodology by …
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Statistical Analysis of Response Distribution for Dependent Data via Joint Quantile Regression
… inference of model parameters and carry out prediction. Multiple copula families are discussed for modeling response data with tail dependence and/or tail asymmetry. An effective model comparison criterion is provided for selecting between models with different combinations of sets of …
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Assessing Urban Non-Point Source pollutants at the Virginia Tech Extended Dry Detention Pond
… source pollution has become a focus for water quality investigators. Once thought to be a small contributor to the pollution problem, urban non-point sources are now responsible for transporting over 50% of all pollutants into natural waterways. Assessing non-point source pollution is the key …
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Uncertainty-Aware Ensembling in Multi-Modal AI and its Applications in Digital Health for Neurodegenerative Disorders
… of each of the modalities along with high quality prediction intervals.
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Bayesian Optimisation of Hyperparameters in Regression Models for Smart Energy and Environmental Systems
… energy production, energy demand, and air quality in smart environments. Therefore, developing data-driven methods to exploit the increasing volume of data generated by smart homes and smart cities is essential for improving efficiency and reducing environmental impact. This thesis presents …
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Prediction of Quality of Experience for Video Streaming Using Raw QoS Parameters
… this, there is a profound need for an efficient Quality of Experience (QoE) monitoring and prediction. QoE is a subjective metric, which deals with user perception and can vary due to the user expectation and context. However, available QoE measurement techniques that adopt a full reference …
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Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning
… by Fog-Cloud computing can effectively support quality prediction, process monitoring, and diagnosis efforts in a timely manner for manufacturing processes. However, the communication and computation resources for Fog-Cloud computing are limited in Fog manufacturing. Therefore, it is significant …
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