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.
Results
Showing 1 to 20 of 511 for “"prediction model"”.
-
A two-layer moisture prediction model,
Massachusetts Institute of Technology. Dept. of Meteorology. Thesis. 1965. M.S.
-
A prediction model for ray tracing
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 1999.
-
A failure prediction model for window glass
… plates subjected to lateral loads. The failure prediction technique should include provision for all significant factors which influence glass strength and all significant factors which influence plate behavior The ultimate use of the glass plate failure prediction model will be to provide a …
-
A NOVEL MULTI-ETHNIC STROKE RISK PREDICTION MODEL
Stroke risk prediction modeling allows for the identification of individuals who are at heightened stroke risk, which is an important first step in targeted preventive measures. Current stroke risk models are not fully generalizable to multi-ethnic populations because the most widely used one is …
-
Indeterminacy-aware prediction model for authentication in IoT.
… work stresses that an indeterminacy-resilient model for IoT authentication is missing from the literature. According to our findings, indeterminacy consists of at least two facets: “uncertainty” and “ambiguity”. As a result, various relevant theories were studied in this work. Our proposed …
-
A general, context-aware pedestrian trajectory prediction model
… cyclists and pedestrians. Pedestrian trajectory prediction is challenging because of the relatively higher number of degrees of freedom in pedestrian movement and absence of uniform rules across different cities and different scenarios within a city. Furthermore, in scenarios such as …
-
Performance prediction model for positive displacement helical screw flowmeters
A general model is developed describing the performance of positive displacement flowmeters. This model allows to predict the performance of any positive displacement meter if 8 coefficients describing the meter design are known. The logic is that a flowmeter performs at a defined pressure loss for …
-
Fall Prediction Model for a Reconfigurable Mobile Support Robot
This work presents a fall prediction model to be used in conjunction with a reconfigurable robot for elderly mobility support. The fall prediction model is based on a Long Short Term Memory network. A predicted fall will inform a reconfigurable robot to expand its base of support to avoid possible …
-
Development of Wastewater Pipe Performance Index and Performance Prediction Model
… and improved societal benefits. Accurate prediction of wastewater pipe structural and functional deterioration plays an essential role in asset management and capital improvement planning. The key to implementing an asset management strategy is a comprehensive understanding of asset …
-
Next generation probabilistic prediction model for submarine propulsion shaft life
… by developing a more robust probabilistic model for submarine propulsion shaft reliability in order to more accurately predict probabilities of failure. To improve upon previous efforts, all the components and failure modes of the propulsion shaft were first identified. While the most …
-
A land mobile radio coverage area prediction model for New Zealand
… of a nationwide land mobile coverage area prediction model for New Zealand. The most suitable approach is shown to be a computer-based method which includes corrections for both environmental and terrain features. Extensive field trials performed in Auckland at 76 and 465MHz to develop a …
-
The evaluation and modification of a prediction model for road surface temperatures
One version of a Surface Temperature Prediction Model has been evaluated and modified to precisely predict road temperatures and road conditions during winter nights under all weather conditions at rural, suburban, and urban sites. The Partial Differential Equation approach gives encouraging …
-
Hamner enrollment prediction model: Transition to college for individuals with access needs
… application of the evidence-based enrollment prediction model by Hamner used to forecast enrollment at Texas Woman's University (2002-present) to the population of individuals with access needs transitioning to 2-year or 4-year U.S. colleges. The sampling frame used for this SAS®-based …
-
A 2-D Time-Dependent Ripple Prediction Model for Wave Dominated Flows
… development of a new 2-D, time dependent ripple prediction model is presented which allows for the prediction of ripple wavelength, height and orientation. The model is an extension to that developed by Traykovski (2007) and uses an equilibrium ripple sub-module that provides the target geometry …
-
Prediction model for cognitive decline in older adults living in the community
… with cognitive decline; and to develop a model that can predict cognitive decline. Methods and materials: Data were from the Gyeonggi Dementia and Mild Cognitive Impairment Study (GDEMCIS), with community-dwelling people aged 65 years and older. Cognitive decline was defined using the …
-
The Altman corporation failure prediction model : applied among South African medical schemes
… and contextualize the Altman bankruptcy prediction model in the setting of the South African medical schemes over a ten year period (2002 to 2011). The main objective of this study is to validate the Altman Z₂ model amongst the medical schemes in South Africa; in terms of accurately …
-
A growth and yield prediction model for thinned stands of yellow- poplar
Analysis and evaluation of the simultaneous growth and yield equations presented by Beck and Della-Bianca (1972) for predicting basal area growth and cubic-foot volume growth and yield in yellow-poplar stands after a single thinning indicated that a separate set of coefficients was required for …
-
An enhanced Bayesian Network prediction model for football matches based on player performance
… machine learning approaches. However, existing prediction models rely solely on historical team features including the match statistical data as well as team statistical data, together with the historical features of team achievement such as ranking in FIFA, ranking in league and total number of …
-
Development of a state prediction model to aid decision making in condition based maintenance
… decision-making. In this thesis, our aim is tomodel the condition of equipment items subject to condition-monitoring in order toprovide a quantitative measure to aid maintenance decision-making. A key ingredienttowards dealing with the modelling work is to define the state or condition of …
Page 1 of 26