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1

Kromphardt, Benjamin D. "Aircraft ground damage and the use of predictive models to estimate costs." Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1527013.

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<p> Aircraft are frequently involved in ground damage incidents, and repair costs are often accepted as part of doing business. The Flight Safety Foundation (FSF) estimates ground damage to cost operators $5-10 billion annually. Incident reports, documents from manufacturers or regulatory agencies, and other resources were examined to better understand the problem of ground damage in aviation. Major contributing factors were explained, and two versions of a computer-based model were developed to project costs and show what is possible. One objective was to determine if the models could match t
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Fernández, Marcos Daniel. "Predictive modelling applied to estimate demand on new EV charging stations in the UK." Thesis, KTH, Kraft- och värmeteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293215.

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The arrival of the electric vehicle is being faster than estimated. This growth requires a charging infrastructure that can cover the energy needs of electric mobility. To this end, it is necessary that the charging points be installed in the most suitable places to satisfy the coming demand. The optimal and efficient choice of the location of new charging sites will not only help to absorb more demand, but will also improve the economic prospect and facilitate the adoption of electric vehicles. Tesla is the fastest growing electric vehicle company in recent years, with over 500,000 EVs worldw
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Colmanetti, Michel Anderson Almeida. "Aboveground biomass of Atlantic Forest: modeling and strategies for carbon estimate." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/91/91131/tde-02082018-095010/.

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The current concerning on potential effect of CO2 on climate change has assigned to the biomass of the tropical forest the importance as a sink of carbon. However, the heterogeneity of the natural ecosystems in tropics has significant implications for biomass estimation. This study proposed different biomass models using destructive sampling for the highly diverse Atlantic Forest. Models from two different approaches: generalized and species-specific were fitted and had the performance compared. Regarding the generalized models, it was proposed different covariates including diameter at breast
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4

Дмитрик, Ю. В. "Прогнозна оцінка факторів формування чистого прибутку банку". Thesis, Українська академія банківської справи Національного банку України, 2012. http://essuir.sumdu.edu.ua/handle/123456789/63335.

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В ринковій економіці одним з показників, який свідчить про початок кризи в діяльності банку, є скорочення чистого прибутку. Важливе значення чистого прибутку обумовлене тим, що він є вагомим елементом приросту власного капіталу, який гарантує фінансову стійкість банку та ліквідність його балансу, виступає базою для нарощення та оновлення основних фондів, забезпечення відповідного рівня дивідендів, розвитку та підвищення якості банківських послуг.
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5

Francois, Clément, Philippe Laramée, Nora Rahhali, et al. "A Predictive Microsimulation Model to Estimate the Clinical Relevance of Reducing Alcohol Consumption in Alcohol Dependence." Karger, 2014. https://tud.qucosa.de/id/qucosa%3A71614.

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Background: Alcohol consumption is one of the most important factors for disease and disability in Europe. In clinical trials, nalmefene has resulted in a significant reduction in the number of heavy-drinking days (HDDs) per month and total alcohol consumption (TAC) among alcohol-dependent patients versus placebo. Methods: A microsimulation model was developed to estimate alcohol-attributable diseases and injuries in patients with alcohol dependence and to explore the clinical relevance of reducing alcohol consumption. Results: For all diseases and injuries considered, the number of events (in
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6

Evangelista, Nathan Sombra. "Development of a method for predictive calculations density of ionic liquids in a wide range of temperature and pressure." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13986.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>Ionic liquids are compounds of considerable interest due to their unique physicochemical properties. A detailed knowledge of these properties is of great importance. In particular, the liquid density is a very important property required in many design problems and, therefore, in process simulation . Experimental measurements of this property is not viable for all the existing ionic liquids . Therefore, development of new methods for its estimation is essential. In this work , a new group contribution m
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7

Yapar, Taner. "A Study Of The Predictive Validity Of The Baskent University English Proficiency Exam Through The Use Of The Two-parameter Irt Model&amp." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1217629/index.pdf.

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The purpose of this study is to analyze the predictive power of the ability estimates obtained through the two-parameter IRT model on the English Proficiency Exam administered at BaSkent University in September 2001 (BUSPE 2001). As prerequisite analyses the fit of one- and two-parameter models of IRT were investigated. The data used for this study were the test data of all students (727) who took BUSPE 2001 and the departmental English course grades of the passing students. At the first stage, whether the assumptions of IRT were met was investigated. Next, the observed and theoretical distrib
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8

Townsend, Daphne. "Clinical trial of estimated risk stratification prediction tool." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27926.

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This work presents doctors with a model of the estimated degree of risk of rare and important neonatal outcomes to aid in better decisions and improved allocation of equipment and resources. An extensive list of admission day parameters is reduced to minimum variable sets to create models for outcomes that are relevant to decision-making in the neonatal intensive care unit. Models are applied to a special collection of cases and compared to neonatologists' risk estimates. A comparative analysis of physician's predictions and the models' discrimination abilities highlights areas of success and
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9

Zbede, Yaman. "Model predictive MRAS estimator for sensorless induction motor drives." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3771.

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The project presents a novel model predictive reference adaptive system (MRAS) speed observer for sensorless induction motor drives applications. The proposed observer is based on the finite control set-model predictive control principle. The rotor position is calculated using a search-based optimization algorithm which ensures a minimum speed tuning error signal at each sampling period. This eliminates the need for a proportional integral (PI) controller which is conventionally employed in the adaption mechanism of MRAS observers. Extensive simulation and experimental tests have been carried
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10

Hossan, Md Shakawat. "Prediction Model to Estimate the Zero Crossing Point for Faulted Waveforms." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/53.

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In any power system, fault means abnormal flow of current. Insulation breakdown is the cause of fault generation. Different factors can cause the breakdown: Wires drifting together in the wind, Lightning ionizing air, wires with contacts of animals and plants, Salt spray or pollution on insulators. The common type of faults on a three phase system are single line-to-ground (SLG), Line-to-line faults (LL), double line-to-ground (DLG) faults, and balanced three phase faults. And these faults can be symmetrical (balanced) or Unsymmetrical (imbalanced).In this Study, a technique to predict the zer
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11

Staley, Thomas L. "Channel estimate-based performance prediction for coherent linearly modulated wireless communications systems /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9719864.

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12

Snyder, Ethan J. "ESTABLISHING GROWING DEGREE DAY ESTIMATES TO PREDICT CRITICAL GROWTH STAGES IN SOFT RED WINTER WHEAT." UKnowledge, 2018. https://uknowledge.uky.edu/pss_etds/98.

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Predicting developmental growth stages in soft red winter wheat (Triticum aestivum L.) (SRWW) could improve agronomic management in Kentucky. However, predicting SRWW development is complex due to vernalization requirement and photoperiod sensitivity differences of cultivars. The objectives of this study are to (1) determine ability of Kompetitive Allele Specific PCR (KASP) genotyping to predict phenotype; (2) determine the relative vernalization requirement (RVR) of 50 SRWW cultivars in a greenhouse (GH) assay; and (3) measure growing degree-days (GDD) required by cultivars to reach eight gro
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Barbieri, Natália Bordin. "Métodos para estimar prevalências ajustadas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/150927.

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Objetivo: Apresentar e discutir métodos para estimar prevalências ajustadas em pesquisas clínicas e epidemiológicas, bem como desenvolver rotinas computacionais em SAS e R. Métodos: No contexto de estudo transversal, foi simulada uma amostra de 2.000 observações independentes, considerando o desfecho dicotômico diabetes, sexo como a variável de exposição e idade como variável de ajuste. As estimativas de prevalências ajustadas (IC 95%) foram estimadas pelos métodos de predição condicional e marginal, utilizando as rotinas desenvolvidas em SAS e R. O método Delta foi usado para construir os int
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Freitas, Paulo Sérgio Abreu. "The combination of neural estimates in prediction and decision problems." Doctoral thesis, Universidade de Lisboa: Faculdade de Ciências, 2008. http://hdl.handle.net/10400.13/98.

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In this dissertation, different ways of combining neural predictive models or neural-based forecasts are discussed. The proposed approaches consider mostly Gaussian radial basis function networks, which can be efficiently identified and estimated through recursive/adaptive methods. Two different ways of combining are explored to get a final estimate – model mixing and model synthesis –, with the aim of obtaining improvements both in terms of efficiency and effectiveness. In the context of model mixing, the usual framework for linearly combining estimates from different models is extended, t
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Stieler, Marleen [Verfasser], and Lars [Akademischer Betreuer] Grüne. "Performance Estimates for Scalar and Multiobjective Model Predictive Control Schemes / Marleen Stieler ; Betreuer: Lars Grüne." Bayreuth : Universität Bayreuth, 2018. http://d-nb.info/1163319147/34.

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16

Reguera, Rodriguez Maria del Carmen. "Sharp weighted estimates for singular integral operators." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39522.

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The thesis provides answers, in one case partial and in the other final, to two conjectures in the area of weighted inequalities for Singular Integral Operators. We study the mapping properties of these operators in weighted Lebesgue spaces with weight w. The novelty of this thesis resides in proving sharp dependence of the operator norm on the Muckenhoupt constant associated to the weigth w for a rich class of Singular Integral operators. The thesis also addresses the end point case p=1, providing counterexamples for the dyadic and continuous settings.
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17

Gu, Youping. "Estimates of genetic parameters and prediction of responses to selection in commercial pigs." Thesis, University of Edinburgh, 1988. http://hdl.handle.net/1842/12071.

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18

Katre, Aanandita Ramakant. "Developing Methods for Prediction and Reduction of Springback using a Practical Method to Estimate E-Modulus." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500028074848847.

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19

Paudel, Subodh. "Methodology to estimate building energy consumption using artificial intelligence." Thesis, Nantes, Ecole des Mines, 2016. http://www.theses.fr/2016EMNA0237/document.

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Les normes de construction pour des bâtiments de plus en plus économes en énergie (BBC) nécessitent une attention particulière. Ces normes reposent sur l’amélioration des performances thermiques de l’enveloppe du bâtiment associé à un effet capacitif des murs augmentant la constante de temps du bâtiment. La prévision de la demande en énergie de bâtiments BBC est plutôt complexe. Ce travail aborde cette question par la mise en œuvre d’intelligence artificielle(IA). Deux approches de mise en œuvre ont été proposées : « all data » et « relevant data ». L’approche « all data » utilise la totalité
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20

Kennedy, Michael David Joseph. "A comparison of critical velocity estimates to actual velocities in predicting simulated rowing performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq22611.pdf.

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Shamseldin, Elizabeth C. Smith Richard L. "Asymptotic multivariate kriging using estimated parameters with bayesian prediction methods for non-linear predictands." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1515.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Sep. 16, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research Statistics." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.
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22

Gaspari, Andrea. "The durability of timber buildings: a decay prediction model to estimate the life expectancy of timber structures." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/355244.

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The aim of this research work is to develop reliable strategies to assess the durability of timber structures investigating the natural hazards affecting the safety and the life-expectancy of timber buildings. From an all encompassing point of view, the life-expectancy of timber buildings was predicted considering the effects of a fungal attack on the durability of a timber structural element. The prediction of life-expectancy of timber buildings was set up through a risk-based approach consisting of (i) the analysis of the state of the art, (ii) the definition of risk classes and decision tr
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Payne, Beth. "Development, validation and pilot implementation of the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) clinical risk prediction model." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/51460.

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The hypertensive disorders of pregnancy (HDPs) are one of the leading causes of maternal death and morbidity in low-resourced countries due to delays in case identification and a shortage of health workers trained to manage these disorders. The objective of this thesis was to develop an evidence-based tool that could aid community-based health workers in decision making around the care of women with the HDPs. This objective was achieved using a prospective cohort of data collected in five low and middle income countries (LMICs) to: (1) develop a clinical risk predication model using logistic
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Nybrant, Arvid, and Henrik Rundberg. "Predicting Uncertainty in Financial Markets : -An empirical study on ARCH-class models ability to estimate Value at Risk." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352381.

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Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. In this paper, we evaluate the use of the GARCH(1,1)-, EGARCH(1,1)- and the APARCH(1,1) model for estimation of this measure under the assumption that the conditional error distribution is normally-, t-, skewed t- and NIG-distributed respectively. For each model, the 95% and 99% one-day Value at Risk is computed using rolling out-of-sample forecasts for three equity indices. These forecasts are evaluated with Kupiec´s test fo
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Bordallo, Micó Alejandro. "Intention prediction for interactive navigation in distributed robotic systems." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28802.

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Modern applications of mobile robots require them to have the ability to safely and effectively navigate in human environments. New challenges arise when these robots must plan their motion in a human-aware fashion. Current methods addressing this problem have focused mainly on the activity forecasting aspect, aiming at improving predictions without considering the active nature of the interaction, i.e. the robot’s effect on the environment and consequent issues such as reciprocity. Furthermore, many methods rely on computationally expensive offline training of predictive models that may not b
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Iacianci, Bryon C. "Confidence Intervals on Cost Estimates When Using a Feature-based Approach." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

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Menzies, Jennifer Marie. "The PIERS (Pre-eclampsia Integrated Estimate of RiSk) model : development of a valid outcome prediction model for pre-eclampsia." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/6844.

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Objective: This research responded to the need to define evidence-based criteria of maternal risk by developing a model - the Pre-eclampsia Integrated Estimate of RiSk (or PIERS) model – that predicts a combined adverse maternal outcome (mortality and/or significant morbidities) within 48 hour of, and up to seven days after, admission with pre-eclampsia (study eligibility). Methods: Prospective data for this project came from the PIERS study database (1259 women, seven international tertiary centers, 4 year period). Part 1. Using PIERS data and retrospective data from BC Women’s Hospital, th
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SHRESTHA, Mandira Singh. "Bias-Adjustment of Satellite-Based Rainfall Estimates over the Central Himalayas of Nepal for Flood Prediction." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/142254.

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Vásquez, Jonathan. "Modelo predictivo para estimar la deserción de estudiantes en una institución de educación superior." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/144169.

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TESIS PARA OPTAR AL GRADO DE MAGÍSTER EN CONTROL DE GESTIÓN<br>La deserción es entendida como la salida temprana o la falla de un individuo en completar un programa de estudio en el que se inscribió, el cual puede ser de carácter voluntario o involuntario, o bien, de transferencia a otro programa o abandono institucional. La deserción involuntaria ocurre cuando por decisión institucional el estudiante no puede seguir sus estudios por razones académicas o disciplinaria, mientras que la voluntaria se manifiesta a través de la renuncia formal o del abandono no informado del estudiante (Tinto & Cu
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Lloyd, Shane. "A Prognostic Index for Predicting Lymph Node Metastasis in Minor Salivary Gland Cancer." Yale University, 2009. http://ymtdl.med.yale.edu/theses/available/etd-03052009-215912/.

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We hypothesized that lymph node involvement in minor salivary gland cancers is associated with clinical and pathological factors commonly available to the clinician after a typical initial workup. Our aim was to identify these factors using a dataset that allowed us to compile the largest series of minor salivary gland cancers in the published literature. Using this dataset we also aimed to characterize the distribution of histological types by primary site, identify the predictors of the use of external beam radiation therapy and neck dissection, and examine the effect of lymph node involveme
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Clucas, Rosemary, and n/a. "Kia Whakamaramatia Mahi Titi : predictive measures for understanding harvest impacts on Sooty Shearwaters (Puffinus griseus)." University of Otago. Department of Mathematics & Statistics, 2009. http://adt.otago.ac.nz./public/adt-NZDU20090813.140751.

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The sooty shearwater (also known as the muttonbird, Titi, Puffinus griseus) is a long-lived super-abundant, burrow nesting petrel, harvested by Rakiura Maori from breeding colonies, located in southern New Zealand. The harvest is culturally defining and enormously important for Rakiura Maori. The work in this thesis contributes to the Kia Mau te Titi Mo Ake Tonu Atu Research Project being undertaken by Rakiura Maori and the University of Otago, towards assessing ongoing sustainability of the harvest and future threats. Analyses of eight muttonbirder harvest records spanning, 1938 to 2004, show
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BOCCHI, CATERINA. "ULTRASOUND ESTIMATED FETAL WEIGHT SLIGHTLY BELOW THE MEDIAN IS ASSOCIATED WITH INCREASED RISK OF SPONTANEOUS PRETERM BIRTH." Doctoral thesis, Università degli Studi di Milano, 2013. http://hdl.handle.net/2434/217621.

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Background: This study investigates the possible relationship between ultrasound estimated fetal weight (EFW) at third trimester and the risk of preterm birth following spontaneous preterm labor in otherwise uncomplicated pregnancies. Methods: We performed a nested case-control study including 281 cases of spontaneous preterm labor with preterm delivery in the third trimester and 3372 matched controls within a cohort of 6207 consecutive pregnant women. Pregnancies with fetal growth restriction (birth weight <10th centile of population based normograms) or fetal anomalies were not included. EF
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Crowdes, Sophie Rose. "Factors predicting BRCA1 and BRCA2 mutation carriers’ preference for communication of risk estimates." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459773019.

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Wagner, John Joseph. "An adaptive atmospheric prediction algorithm to improve density forecasting for aerocapture guidance processes." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53046.

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Many modern entry guidance systems depend on predictions of atmospheric parameters, notably atmospheric density, in order to guide the entry vehicle to some desired final state. However, in highly dynamic atmospheric environments such as the Martian atmosphere, the density may vary by as much as 200% from predicted pre-entry trends. This high level of atmospheric density uncertainty can cause significant complications for entry guidance processes and may in extreme scenarios cause complete failure of the entry. In the face of this uncertainty, mission designers are compelled to apply large
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Ozkale, Aslihan. "Overpressure prediction by mean total stress estimate using well logs for compressional environments with strike-slip or reverse faulting stress state." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4762.

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Predicting correct pore-pressure is important for drilling applications. Wellbore stability problems, kicks, or even blow-outs can be avoided with a good estimate of porepressure. Conventional pore-pressure estimation methods are based on one-dimensional compaction theory and depend on a relationship between porosity and vertical effective stress. Strike-slip or reverse faulting environments especially require a different way to determine pore-pressure, since the overburden is not the maximum stress. This study proposes a method which better accounts for the three-dimensional nature of the str
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Yegin, Oya Perim. "The Predictive Validity Of Baskent University Proficiency Exam (buepe) Through The Use Of The Three-parameter Irt Model&amp." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1013507/index.pdf.

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The purpose of the present study is to investigate the predictive validity of the BUEPE through the use of the three-parameter IRT model&amp<br>#8217<br>s ability estimates. The study made use of the BUEPE September 2000 data which included the responses of 699 students. The predictive validity was established by using the departmental English courses (DEC) passing grades of a total number of 371 students. As for the prerequisite analysis the best fitted model of IRT was determined by first, checking the assumptions of IRT<br>second, by analyzing the invariance of ability parameters and item p
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Jaffee, Brian Alexander. "Using Oxygen Depletion and Chlorophyll-a as Proxies for Estimates of Cyanobacteria Blooms to Create Predictive Lake Erie Hazardous Algae Bloom Models." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1435241581.

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Assi, Valentina. "Clinical and epidemiological issues and applications of mammographic density." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/7855.

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Mammographic density, the amount of radiodense tissue on a mammogram, is a strong risk factor for breast cancer, with properties that could be an asset in screening and prevention programmes. Its use in risk prediction contexts is currently limited, however, mainly due to di culties in measuring and interpreting density. This research investigates rstly, the properties of density as an independent marker of breast cancer risk and secondly, how density should be measured. The rst question was addressed by analysing data from a chemoprevention trial, a trial of hormonal treatment, and a cohort s
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Moseley, Charles Warren. "A Timescale Estimating Model for Rule-Based Systems." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc332089/.

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The purpose of this study was to explore the subject of timescale estimating for rule-based systems. A model for estimating the timescale necessary to build rule-based systems was built and then tested in a controlled environment.
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Garcia, Alessandra Reis. "Uso do modelo WEPP ( Water Erosion Prediction Project ) modificado para estimar taxas de erosão em estradas florestais." reponame:Repositório Institucional da UFS, 2001. https://ri.ufs.br/handle/riufs/793.

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Este trabalho teve como objetivo geral determinar o volume total de água escoada e a produção de sedimentos provenientes de segmentos de estradas florestais submetidas às condições de chuva natural e, com esses resultados, validar o modelo WEPP por meio de comparações entre dados observados e dados preditos pelo modelo. A pesquisa foi realizada no projeto de reflorestamento, povoamento de Pinus caribaea Morelet e Pinus oocarpa Schiede, pertencente à Fazenda Monte Alegre, em Agudos – São Paulo. O universo abrangido pela pesquisa foi constituído de 16 segmentos de estrada. Foram estudadas duas d
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Wathen, Michael J. "Population Affiliation Prediction Based on Rare Variants and Using Lancaster Importance Estimator, Principal Component Analysis, and Random Forest." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460730716.

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Azad, Abul K. "Robust Speech Filter And Voice Encoder Parameter Estimation using the Phase-Phase Correlator." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/97221.

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In recent years, linear prediction voice encoders have become very efficient in terms of computing execution time and channel bandwidth usage while providing, in the absence of im- pulsive noise, natural sounding synthetic speech signals. This good performance has been achieved via the use of a maximum likelihood parameter estimation of an auto-regressive model of order ten that best fits the speech signal under the assumption that the signal and the noise are Gaussian stochastic processes. However, this method breaks down in the presence of impulse noise, which is common in practice, resultin
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Svensk, Gustav. "TDNet : A Generative Model for Taxi Demand Prediction." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158514.

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Supplying the right amount of taxis in the right place at the right time is very important for taxi companies. In this paper, the machine learning model Taxi Demand Net (TDNet) is presented which predicts short-term taxi demand in different zones of a city. It is based on WaveNet which is a causal dilated convolutional neural net for time-series generation. TDNet uses historical demand from the last years and transforms features such as time of day, day of week and day of month into 26-hour taxi demand forecasts for all zones in a city. It has been applied to one city in northern Europe and on
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Meirelles, Paula Garcia [UNESP]. "Divergência genética entre linhagens de milho estimada por microssatélites e correlação com desempenho de híbridos simples." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/106168.

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Made available in DSpace on 2014-06-11T19:35:16Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-08-21Bitstream added on 2014-06-13T19:05:39Z : No. of bitstreams: 1 meirelles_pg_dr_ilha.pdf: 1411977 bytes, checksum: 5e98833e6663281a5679d9c3fdce408f (MD5)<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>O sucesso nos programas de melhoramento genético de milho depende da identificação de genitores com boa capacidade de combinação para a produção de híbridos e também da conservação da variabilidade genética do germoplasma. Os marcadores moleculares são ferrament
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Chen, Jie. "Theoretical Results and Applications Related to Dimension Reduction." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19841.

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To overcome the curse of dimensionality, dimension reduction is important and necessary for understanding the underlying phenomena in a variety of fields. Dimension reduction is the transformation of high-dimensional data into a meaningful representation in the low-dimensional space. It can be further classified into feature selection and feature extraction. In this thesis, which is composed of four projects, the first two focus on feature selection, and the last two concentrate on feature extraction. The content of the thesis is as follows. The first project presents several efficient method
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Meirelles, Paula Garcia. "Divergência genética entre linhagens de milho estimada por microssatélites e correlação com desempenho de híbridos simples /." Ilha Solteira : [s.n.], 2009. http://hdl.handle.net/11449/106168.

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Resumo: O sucesso nos programas de melhoramento genético de milho depende da identificação de genitores com boa capacidade de combinação para a produção de híbridos e também da conservação da variabilidade genética do germoplasma. Os marcadores moleculares são ferramentas da genética molecular, muito empregados em avaliações de diversidade e distância genética, uma vez que possibilitam a identificação de variações diretamente nos genótipos. A maioria dos trabalhos que utilizam a distância genética para predição de híbridos simples tem sido conduzida com germoplasmas de clima temperado. Entreta
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Sadeghkhani, Abdolnasser. "Estimation d'une densité prédictive avec information additionnelle." Thèse, Université de Sherbrooke, 2017. http://hdl.handle.net/11143/11238.

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Dans le contexte de la théorie bayésienne et de théorie de la décision, l'estimation d'une densité prédictive d'une variable aléatoire occupe une place importante. Typiquement, dans un cadre paramétrique, il y a présence d’information additionnelle pouvant être interprétée sous forme d’une contrainte. Cette thèse porte sur des stratégies et des améliorations, tenant compte de l’information additionnelle, pour obtenir des densités prédictives efficaces et parfois plus performantes que d’autres données dans la littérature. Les résultats s’appliquent pour des modèles avec données gaussie
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Karagiannis, Dionysios. "The bispectrum of Large Scale Structures: modelling, prediction and estimation." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3427289.

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In this thesis we study the higher-order statistics of Large Scale Structures (LSS). In particular, we examine the potential of the bispectrum (Fourier transform of the three-point correlator) of galaxies for both probing the non-linear regime of structure growth and setting constraints on primordial non-Gaussianity. The starting step is to construct accurate models for the power spectrum (Fourier transform of the two-point correlator) and bispectrum of galaxies by using the predictions of perturbation methods. In addition, the recent developments on the relation between dark matter and gal
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NASCIMENTO, Diógenes Virgínio do. "Funções de pedotransferência para estimar a umidade em solos cultivados com cana-de-açúcar na zona da mata de Pernambuco." Universidade Federal Rural de Pernambuco, 2015. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5315.

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Submitted by Mario BC (mario@bc.ufrpe.br) on 2016-08-15T12:27:23Z No. of bitstreams: 1 Diogenes Virginio do Nascimento.pdf: 1474487 bytes, checksum: 048118961940a4468c5c60cb32deca19 (MD5)<br>Made available in DSpace on 2016-08-15T12:27:23Z (GMT). No. of bitstreams: 1 Diogenes Virginio do Nascimento.pdf: 1474487 bytes, checksum: 048118961940a4468c5c60cb32deca19 (MD5) Previous issue date: 2015-07-28<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>This work is related to knowledge of Pedotransfer functions (PTF), enabling an understanding about water soil content influ
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Goulart, Renan Motta. "Um método Kernel para estimativa de densidade e sua aplicação em jogos de repetição." Universidade Federal de Juiz de Fora (UFJF), 2017. https://repositorio.ufjf.br/jspui/handle/ufjf/5907.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-10-23T17:05:10Z No. of bitstreams: 1 renanmottagoulart.pdf: 506891 bytes, checksum: 01d7b3b82d2bc0af0d295fc75de17b91 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-11-09T13:52:19Z (GMT) No. of bitstreams: 1 renanmottagoulart.pdf: 506891 bytes, checksum: 01d7b3b82d2bc0af0d295fc75de17b91 (MD5)<br>Made available in DSpace on 2017-11-09T13:52:19Z (GMT). No. of bitstreams: 1 renanmottagoulart.pdf: 506891 bytes, checksum: 01d7b3b82d2bc0af0d295fc75de17b91 (MD5) Previous issue date: 2017-09
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