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 214 for “"hybrid model"”.
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Towards a hybrid model of speech prosody
… quickly. Based on these results, I propose a hybrid model of comprehension of prosody that involves activating both previously proposed abstract categories and gradient detail.
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Characteristic function pricing with the Heston-LIBOR hybrid model
… for a simplified version of the Heston-LIBOR model, which assumes a constant instantaneous volatility structure in the underlying LIBOR market model. We also implement measures to improve the numerical stability of the characteristic function derived in this dissertation as well as the one …
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Exploring the bilateral and hybrid model in deregulated electricity market
… which is entitled „Exploring the Bilateral and Hybrid Model for Deregulated market‟. The outcome is about the background of the restructuring of Electricity Supply Industry (ESI) especially for Malaysia Electricity Supply Industry (MESI). Before the restructuring of the MESI, Tenaga Nasional …
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A hybrid model for large scale simulation of unsteady nonlinear waves
A hybrid model for simulating rogue waves in random seas on a large time and space scale is proposed in this thesis. It is formed by combining the derived fifth order Enhanced Nonlinear Schrödinger Equation based on Fourier transform (ENLSE-5F), the fully nonlinear Enhanced Spectral Boundary …
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Fuzzy time series analysis and prediction using swarm optimized hybrid model.
… population dynamics, tourism, etc. where factor models, neural network models, Bayesian models are exceedingly applied for effective prediction. It has been exemplified in numerous forecasting surveys that finding an individual forecasting model to achieve the best performances for all potential …
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Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer
… become popular among researchers and standard model in analyzing data in vagueness phenomena. However, the factor and symptoms to predict tumor size of colorectal cancer still ambiguous and not clear. The problem in using a linear regression will arise when uncertain data and not precise data …
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Well Integrity Mapping Using Hybrid Model Based on Physics of Failure and Data-Driven Methods
… The objective of this study is to develop a hybrid model based on Physics of failure and data driven algorithms that can estimate remaining useful life of production casing in high pressure, high temperature, and sour well conditions. A unique degradation modeling and prognostics framework …
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Developing talent management hybrid model for business growth and sustainability: the case of Malaysian theme park industry
… talent, as many had been lay-off. A new business model is required to support the theme parks industry restarting and rebounce their business growth and sustainability. This research used an inductive approach based on the Talent Management Model and Resources-Based View Theory as reasoning moves …
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A hybrid model of ion-induced syrface modification with prompt molecular dynamics and lattice-free kinetic Monte Carlo diffusion
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor
… after clustered by district and Fuzzy C-Means Model (FCM). Thirdly, the development of models using the existing dataset and the new datasets which clustered by the two different clustering categories. Then, to assess the models developed by using three measurement methods which are deviance …
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Using graphone models in automatic speech recognition
… unknown words. For these experiments, graphones models are integrated into the SUMMIT speech recognition framework. First, graphones are applied to automatically generate pronunciations of restaurant names for a speech recognizer. Word recognition evaluations show that graphones are effective for …
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Augmenting physics simulators with neural networks for model learning and control
… that lead to a loss in precision. We propose a hybrid dynamics model, combining a deterministic physical simulator with a stochastic neural network for dynamics modeling as it provides us with expressiveness, efficiency, and generalizability simultaneously. To demonstrate this, we compare our …
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A hybrid mathematical model of fungal mycelia: tropisms, polarised growth and application to colony competition
… and morphology of such organisms. Mathematical modelling has provided a means through which key processes can be isolated to analyse and simulate a target system to allow observations and form predictions regarding unknown phenomena. Numerous models of fungal colonies have been produced and are …
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A Model That Combines IRT and Latent Class Models
A measurement model called Hybrid model is developed to overcome the weaknesses of the widely used Item Response Theory (IRT) and Latent Class models by combining them both. The weakness of IRT is that it is unable to express cognitive structure whether that is rule of operations or particular …
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Development of a novel hybrid field and zone fire model
… the design and implementation of a novel hybrid field/zone fire model, linking a fire field model to a zone model. This novel concept was implemented using SMARTFIRE (a fire field model produced at the University of Greenwich) and two different zone models (CFAST which is produced by NIST …
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Improving Outpatient Nurse Satisfaction and Productivity Using a Hybrid Teleworking Model
… and work productivity by integrating a hybrid telework schedule for the nursing staff. Background: The landscape of healthcare is changing. During the COVID-19 pandemic, manyprofessions adopted work-from-home (WFH) models. Technological improvements have allowed people to work …
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Optimisation of CHO Cell Line Development Using Hybrid Modelling for Antibody Therapeutics
… process scaling up using a data-driven hybrid model that integrates machine learning (ML) with first-principle mechanistic models. The hybrid tool forecasts bioreactor metabolite profiles from simplistic micro- and small-scale cultivation data, improving knowledge, production efficiency, …
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Using deep learning to classify community network traffic
… Learning (ML) and single Deep Learning (DL) models. ML classification models are effective to a certain degree. However, studies have shown they record low prediction and accuracy scores. In contrast, the proliferation of various deep learning techniques has recorded higher accuracy in …
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The Simultaneous Implementation of Two School Improvement Models in a Rural Southwest Virginia School System
… of simultaneous implementation of the Indistar model of school improvement and the University of Virginia School Turnaround model of school improvement and how those models influenced school improvement practices in a rural Southwest Virginia school system. Best practices from each of the school …
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