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 13 of 13 for “"Empirical Modelling"”.
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Empirical modelling of high-frequency foreign exchange rates
There is a wealth of information available on modelling foreign exchange time series data, however, research studies on modelling and predicting high frequency foreign exchange data is less prominent. Furthermore, there does not appear to be much evidence supporting work on the modelling and …
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Value Loss of Activities Propelled by Digital Transformation: Theoretical Evaluation and Empirical Modelling to Identify Efficiency Potentials to Maximize Value in the Field of Marketing & Sales.
Digital transformation of firms and the adoption of digital technologies is progressing inexorably. Decision-makers are preoccupied with the endeavor to identify the potentials of existing as well as newly emerging technologies and underutilize the entailed profits. This research study proposes a …
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Models and methods for power monolithic microwave integrated circuits
… from measurements or device simulators. Empirical models of active electron devices, which are based on actual device measurements, do not provide a detailed description of the electron device physics. However they are numerically efficient and quite accurate. These characteristics make …
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Handling Performance Analysis of Run-Flat and Standard Tires Using Pacejka Tire Model
… effectiveness of integrated finite element and empirical modelling in predicting vehicle handling performance during tire failure.
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Decision Topologies in Functionally Differentiated Societies - the cases of projects and AI -
… of decision topologies, the study offers a near-empirical modelling of organisational dynamics and provides a foundation for future empirical research on decision-making in complex organisational environments
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On the predictability of land surface fluxes
… fluxes in the FLUXNET dataset directly using empirical modelling. I first explore the performance of LSMs and show that the Best et al. (2015) results are not due to poor methodology; and further, performance problems appear to be at least partly shared between models. Next, I assess the …
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Operational modelling of geomagnetic fields and geomagnetically induced currents
… been known to affect power systems adversely. Modelling these GICs usually involves consideration of a chain of coupled systems. The scope of the modelling chain spans multiple disciplines, from solar physics through to geophysics and power engineering. Most models split the chain into …
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Empirical Ionospheric Models: The Road To Conductivity
… to government and commercial entities. Empirical models play a key role in the research and forecasting of the solar wind and interplanetary magnetic field's impact on the polar ionosphere, and is an active area of development and research. Recent interest in polar ionospheric …
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Modelling climate change impacts on the productivity of short rotation coppice
… energy obligations, now and in the future. An empirical modelling technique, using partial least squares regression was developed to extrapolate actual field observations to a national scale. Genotype x age x environment interactions were studied to examine the key limiting factors to …
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Dead-end and crossflow microfiltration of yeast and bentonite suspensions: experimental and modelling studies incorporating the use of artificial neural networks
… of artificial neural networks (ANNs) and semi-empirical modelling techniques for correlation and prediction of the filtration characteristics of microfiltration systems was assessed. ANNs were developed to correlate specific cake resistance and steady state flux of dried yeast suspensions in …
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Modelling of advanced submicron gate InGaAs/InAIAs pHEMTS and RTD devices for very high frequency applications
… devices to be fabricated. Concurrently, device modelling plays a vital role in the design and analysis of pHEMT device and circuit performance. Physical modeling becomes essential to fully characterise and understand the underlying physical phenomenon of the device, while empirical modelling is …
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Machine learning-based stress-strain prediction and process parameter optimisation in material extrusion additive manufacturing
… mechanical requirements. Despite progress in empirical modelling and data-driven approaches, most existing methods focus on isolated mechanical indicators such as yield strength or modulus. These approaches often demand large datasets and fail to generalise across changing process parameters …
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Developing a mechanistic model for flow through a perforated plate with application to screening of particulate materials
… methods have been used, such as physical modelling, empirical modelling, and mathematical modelling including the discrete element method (DEM). These methods have major limitations in practice, and experimental data to validate the models have been difficult to obtain. Currently, the …