Thesis (Doctorate)--Delft University of Technology, 2002. / Includes bibliographical references.

Thesis (Doctorate)--Delft University of Technology, 2002. / Includes bibliographical references.

Thesis (doctoral)--Swedish University of Agricultural Sciences, 2006. / Thesis documentation sheet inserted. Appendix consists of reproductions of four papers and manuscripts, co-authored with others. Includes bibliographical references. Also available electronically via World Wide Web in PDF format; online version lacks appendix of papers.

Lo Sai Hung, Brian. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1989. / Bibliography: leaves 183-193.

Thesis (Ph.D.)--University of Wollongong, 2006. / Typescript. Includes bibliographical references: leaf 190-212.

Forecast hurricane tracks using a multi-model ensemble that is comprised by linearly combining the individual model forecasts have greatly reduced the average forecast errors when compared to individual dynamic model forecast errors. In this experiment, a complex adaptive system, the Tropical Agent Forecaster (TAF), is created to fashion a 'smart' ensemble forecast. The TAF uses autonomous agents to assess the historical performance of individual models and model combinations, called predictors, and weights them based on their average error compared to the best track information. Agents continually monitor themselves and determine which predictors, for the life of the storm, perform the best in terms of the distance between forecast and best-track positions. A TAF forecast is developed using a linear combination of the highest weighted predictors. When applied to the 2004 Atlantic hurricane season, the TAF system with a requirement to contain a minimum of three predictors, consistently outperformed, although not statistically significant, the CONU forecast at 72 and 96 hours for a homogeneous data set. At 120 hours, the TAF system significantly decreased the average forecast errors when compared to the CONU.

, for the life of the storm, perform the best in terms of the distance between forecast and best-track positions. A TAF forecast is developed using a linear combination of the highest weighted predictors. When applied to the 2004 Atlantic hurricane season, the TAF system with a requirement to contain a minimum of three predictors, consistently outperformed, although not statistically significant, the CONU forecast at 72 and 96 hours for a homogeneous data set. At 120 hours, the TAF system significantly decreased the average forecast errors when compared to the CONU. The multi-agent (MAS) system approach opens the door for statistically significant forecast improvement. / US Navy (USN) author.

Li King Fai = 額外次元模型內由額外力所導致的可測結果 / 李敬輝. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 101-105). / Text in English; abstracts in English and Chinese. / Li King Fai = E wai ci yuan mo xing nei you e wai li suo dao zhi de ke ce jie guo / Li Jinghui. / Chapter 1 --- Prologue --- p.1 / Chapter 1.1 --- Research Background --- p.1 / Chapter 1.2 --- Statement of the Problem --- p.4 / Chapter 1.3 --- Organization of the Thesis --- p.5 / Chapter 2 --- Review of Various Extra Dimensional Models --- p.6 / Chapter 2.1 --- General Relativity --- p.6 / Chapter 2.2 --- Kaluza-Klein Theory --- p.9 / Chapter 2.3 --- Space-Time-Matter Theory --- p.13 / Chapter 2.4 --- Arkani-Hamed-Dimopoulos-Dvali Scenario --- p.16 / Chapter 2.5 --- Randall-Sundrum Scenario --- p.19 / Chapter 3 --- Review of Extra Forces --- p.27 / Chapter 3.1 --- Definition of Force in 4D --- p.27 / Chapter 3.2 --- Extra Forces in STM Theory --- p.28 / Chapter 3.3 --- Variation of4D Mass --- p.31 / Chapter 3.4 --- Position-Momentum Uncertainty Relation --- p.32 / Chapter 3.5 --- Extra Forces in Brane Theories --- p.34 / Chapter 4 --- Extra Forces in the 5D Friedmann Universe --- p.37 / Chapter 4.1 --- Generalized Robertson-Walker Metric --- p.38 / Chapter 4.2 --- Unobserved Motions in Extra Dimensions --- p.43 / Chapter 4.3 --- Equations of Motion with Three Extra Spatial Dimensions --- p.51 / Chapter 4.4 --- Summary --- p.53 / Chapter 5 --- Extra Forces in the Randall-Sundrum Model --- p.55 / Chapter 5.1 --- Model Development - Evolving Extra Dimension --- p.56 / Chapter 5.2 --- Classical Particle Trajectories --- p.59 / Chapter 5.3 --- Unobserved Motions in Extra Dimensions --- p.66 / Chapter 5.4 --- Modification of RSI model --- p.72 / Chapter 5.5 --- Summary --- p.77 / Chapter 6 --- Comments on Extra Forces as the Source of Quantum Fluctuations --- p.78 / Chapter 7 --- Particle-Antiparticle Pairs as an Observable Effect of Extra Force --- p.80 / Chapter 7.1 --- Reasons for Antiparticles --- p.81 / Chapter 7.2 --- Attempts in Classical Physics --- p.85 / Chapter 7.3 --- 5D Kaluza-Klein Scenario --- p.86 / Chapter 7.4 --- Generalizations to Brane Theories --- p.89 / Chapter 7.5 --- Summary --- p.97 / Chapter 8 --- A Summary of this Thesis --- p.99 / Bibliography --- p.101

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Thesis (Ph.D.)--University of Nebraska-Lincoln, 2008. / Title from title screen (site viewed Mar. 5, 2009). PDF text: viii, 143 p. : col. ill. ; 13 Mb. UMI publication number: AAT 3331436. Includes bibliographical references. Also available in microfilm and microfiche formats.