Tesis sobre el tema "Predictive modelling"
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Welfoot, J. St J. "Predictive modelling of membrane nanofiltration". Thesis, Swansea University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639377.
Texto completoKampakis, S. "Predictive modelling of football injuries". Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1508067/.
Texto completoDavis, Luke M. "Predictive modelling of bone ageing". Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/45085/.
Texto completoKalathenos, Panayiotis. "Predictive modelling of wine spoilage microorganisms". Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260584.
Texto completoKougoulos, Eleftherios. "Predictive modelling of organic crystallization processes". Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445645/.
Texto completoValvatne, Per Henrik. "Predictive pore-scale modelling of multiphase flow". Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405885.
Texto completoRobertson, Mark Peter. "Predictive modelling of species' potential geographical distributions". Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.
Texto completoLindström, Martin. "Predictive Modelling of Heavy Metals in Urban Lakes". Doctoral thesis, Uppsala University, Department of Earth Sciences, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-530.
Texto completoHeavy metals are well-known environmental pollutants. In this thesis predictive models for heavy metals in urban lakes are discussed and new models presented. The base of predictive modelling is empirical data from field investigations of many ecosystems covering a wide range of ecosystem characteristics. Predictive models focus on the variabilities among lakes and processes controlling the major metal fluxes.
Sediment and water data for this study were collected from ten small lakes in the Stockholm area, the Eastern parts of Lake Mälaren, the innermost areas of the Stockholm archipelago and from literature studies. By correlating calculated metal loads to the land use of the catchment areas (describing urban and natural land use), the influences of the local urban status on the metal load could be evaluated. Copper was most influenced by the urban status and less by the regional background. The opposite pattern was shown for cadmium, nickel and zinc (and mercury). Lead and chromium were in-between these groups.
It was shown that the metal load from the City of Stockholm is considerable. There is a 5-fold increase in sediment deposition of cadmium, copper, mercury and lead in the central areas of Stockholm compared to surrounding areas.
The results also include a model for the lake characteristic concentration of suspended particulate matter (SPM), and new methods for empirical model testing. The results indicate that the traditional distribution (or partition) coefficient Kd (L kg-1) is unsuitable to use in modelling of the particle association of metals. Instead the particulate fraction, PF (-), defined as the ratio of the particulate associated concentration to the total concentration, is recommended. Kd is affected by spurious correlations due to the definition of Kd as a ratio including SPM and also secondary spurious correlations with many variables correlated to SPM. It was also shown that Kd has a larger inherent within-system variability than PF. This is important in modelling.
Lindström, Martin. "Predictive modelling of heavy metals in urban lakes /". Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2000. http://publications.uu.se/theses/91-554-4854-2/.
Texto completoYeh, Der-Ming. "Manipulation and predictive modelling of flowering in cineraria". Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309594.
Texto completoGilholm, Patricia. "Methods for personalised predictive modelling of developmental milestones for children with disabilities". Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212038/1/Patricia%20Gilholm%20Thesis.pdf.
Texto completoTill, Robert John. "Predictive behavioural models in credit scoring and retail banking". Thesis, Imperial College London, 2002. http://hdl.handle.net/10044/1/7984.
Texto completoLonsdale, Jack Henry. "Predictive modelling and uncertainty quantification of UK forest growth". Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16202.
Texto completoWang, Jinhuo. "Predictive modelling and experimental measurement of composite forming behaviour". Thesis, University of Nottingham, 2008. http://eprints.nottingham.ac.uk/10602/.
Texto completoJayakumar, Jayanthi. "Evaluation of predictive computational modelling in biologic formulation development". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112488.
Texto completoThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 81-87).
Computational modelling has completely redefined the experimentation process in many industries, allowing large sets of design concepts to be tested quickly and cheaply very early in the innovation process. Harnessing the power of computational modelling for protein drug formulation has numerous, currently unrealized, benefits. This project aims to be the first step in the development of a high throughput predictive computational model to screen for excipients that would decrease protein aggregation in solution and thus increase its stability and enable clinical effectiveness. Protein drug formulation currently relies heavily on empirical evidence from wet-lab experiments and personal experience. During the biologic drug development process, proteins that target specific disease pathways are identified, developed, isolated, and purified. Scientists then conduct a series of wet-lab experiments to identify the optimal formulation that will allow the protein to be used as a drug therapy. A critical part of formulation development is the identification of inactive ingredients called excipients that perform various important functions including prevention of protein aggregation. Despite their critical role in enabling proteins to be effective therapies, very little is understood about excipient-protein interaction. Furthermore, often a limited set of compounds are tested for their use as excipients since wet-lab experiments are expensive and time consuming. This project accomplishes the following goals: ** Identification of databases of compounds that could be used as excipients in biologic formulation; ** Development of a high throughput method to computationally model a target protein and 247 potential excipients; ** Evaluation of potential relationship between computational output and wet-lab results based onxperimentation with 32 of the 247 excipients; ** Recommendations on next steps that include feedback on types of proteins and excipients to be tested for the validation of the method developed in this project.
by Jayanthi Jayakumar.
M.B.A.
S.M.
Abdelhamid, S. "Respiratory motion modelling and predictive tracking for adaptive radiotherapy". Thesis, Coventry University, 2010. http://curve.coventry.ac.uk/open/items/f135cb12-e9f9-1e4f-9c57-6de2fc378069/1.
Texto completoGreenstein, Stanley. "Our Humanity Exposed : Predictive Modelling in a Legal Context". Doctoral thesis, Stockholms universitet, Juridiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141657.
Texto completoRuci, Xhesika. "Capacity Management in Hyper-Scale Datacenters using Predictive Modelling". Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72487.
Texto completoOssai, Chinedu Ishiodu. "Predictive modelling and reliability analysis of aged, corroded pipelines". Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/2561.
Texto completoRocks-Macqueen, James Douglas. "Agent based predictive models in archaeology". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/21013.
Texto completoLindgren, Cory John. "Addressing the risks of invasive plants through spatial predictive modelling". Canadian Journal of Plant Science, 2010. http://hdl.handle.net/1993/18344.
Texto completoWheatley, David. "The application of geographic information systems to archaeology : with case studies from Neolithic Wessex". Thesis, University of Southampton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295576.
Texto completoYuan, Qiang. "Adaptive, statistical, context modelling for predictive coding of medical images". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq21056.pdf.
Texto completoVera, Epiphany. "Fractal modelling of residual in linear predictive coding of speech". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/MQ41642.pdf.
Texto completoDe, Jongh Cornel. "Critical evaluation of predictive modelling of a cervical disc design". Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/601.
Texto completoBellamy, Chloe Charlotte. "Predictive modelling of bat-habitat relationships on different spatial scales". Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550267.
Texto completoAlshammari, Dhahi. "Evaluation of cloud computing modelling tools : simulators and predictive models". Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/41050/.
Texto completoZhu, Ping. "Predictive modelling and simulations of internal transport barriers in tokamaks /". Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008483.
Texto completoTan, Stefanie Hun Yen. "Predictive modelling of orthodontic treatment outcomes in the adolescent patients". Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738314.
Texto completoMesgarpour, Mohsen. "Predictive risk modelling of hospital emergency readmission, and temporal comorbidity index modelling using machine learning methods". Thesis, University of Westminster, 2017. https://westminsterresearch.westminster.ac.uk/item/q3031/predictive-risk-modelling-of-hospital-emergency-readmission-and-temporal-comorbidity-index-modelling-using-machine-learning-methods.
Texto completoChhatwal, Harprit Singh. "Spectral modelling techniques for speech signals based on linear predictive analysis". Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/46996.
Texto completoWilcox, Bill. "Archaeological predictive modelling of late Anglo-Saxon settlement in East Anglia". Thesis, University of East Anglia, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554292.
Texto completoReynolds, Rachael Amy. "Predictive modelling of climate change impacts on disease dynamics in Tanzania". Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/621437/.
Texto completoDegereji, Mohammed Usman. "Predictive modelling of ash particle deposition in a PF combustion furnace". Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/21122/.
Texto completoVillavicencio, Rojas Maria Daniela. "Predictive modelling of the tribological behaviour of self-lubricating composite materials". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI040.
Texto completoIn self-lubricating composite materials, the generation of a stable third body layer is necessary to ensure contact lubrication. This is specially true for the contact in which these materials are directly involved, and also in other contacts implicating its counterface. Such type of lubrication is possible in self-lubricating bearings thanks to its cage material, which is made of the self-lubricating composite, while the rest of the bearing is usually made of AISI 440C. For space applications, RT/Duroid 5813 is a recognized self-lubricating composite cage material for this kind of bearings. This material has been widely used not only because of the space heritage, but also because it has satisfied the needs of space dry lubrication. However, the production of this material has been stopped in the 90’s, and it has placed the latter out of the market. This situation has led to the search for an equivalent material, that meets both the needs of the space market and the "tribological needs." Today, the main inconvenient related to these materials is the lack of predictability of their tribological behaviour. In this work, the "making of" a coupled numerical-experimental approach has been proposed in order to carry out the understanding of these materials. The goal of this numerical approach is to let to "complement" the limitations of a fully experimental or a fully numerical approach (the confined nature of the contact does not allow in situ observation). Such numerical approach has been informed with experimental test (as X-ray tomography for the creation of the numerical morphology, or atomic force microscopy to inform the value of adhesion between the components). Among all the self-lubricating materials, PGM-HT has been selected in this study because its coarse morphology let to build a numerical version of the material (with the resolution of the X-ray tomograph used in this work). Nevertheless, the approach that has been proposed here to build the numerical model, can be extended to other self-lubricating composite materials. The numerical model developed in this work opens new perspectives in terms of material design, as it makes it possible to directly study the scenarios of damage and wear of self-lubricating composite materials. From a general point of view, from this work it can be highlighted that numerical tribology is a tool that offers multiple possibilities in the understanding of self-lubricating materials, and that helps in the predictionof the tribological behaviour of self-lubricating materials. This work has then let to advance in the understanding of these materials
Mamma-Graham, Adamantia S. "An intermittent predictive control approach to modelling sustained human motor control". Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5425/.
Texto completoWilliams, Daniel George. "The mind as a predictive modelling engine : generative models, structural similarity, and mental representation". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/286067.
Texto completoWoodman, Patricia E. "Archaeological predictive modelling using GIS : a case study from the Scottish Mesolithic". Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363659.
Texto completoObajemu, Olusayo. "Predictive dynamic risk mapping and modelling of patients diagnosed with bladder cancer". Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/14368/.
Texto completoAlaya, Mili Nourhene. "Managing the empirical hardness of the ontology reasoning using the predictive modelling". Thesis, Paris 8, 2016. http://www.theses.fr/2016PA080062/document.
Texto completoHighly optimized reasoning algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL (DL). Nevertheless, reasoning remains a challenge in practice. In overall, a reasoner could be optimized for some, but not all ontologies. Given these observations, the main purpose of this thesis is to investigate means to cope with the reasoner performances variability phenomena. We opted for the supervised learning as the kernel theory to guide the design of our solution. Our main claim is that the output quality of a reasoner is closely depending on the quality of the ontology. Accordingly, we first introduced a novel collection of features which characterise the design quality of an OWL ontology. Afterwards, we modelled a generic learning framework to help predicting the overall empirical hardness of an ontology; and to anticipate a reasoner robustness under some online usage constraints. Later on, we discussed the issue of reasoner automatic selection for ontology based applications. We introduced a novel reasoner ranking framework. Correctness and efficiency are our main ranking criteria. We proposed two distinct methods: i) ranking based on single label prediction, and ii) a multi-label ranking method. Finally, we suggested to extract the ontology sub-parts that are the most computationally demanding ones. Our method relies on the atomic decomposition and the locality modules extraction techniques and employs our predictive model of the ontology hardness. Excessive experimentations were carried out to prove the worthiness of our approaches. All of our proposals were gathered in a user assistance system called "ADSOR"
Krieger, Alexandra. "Modelling, optimisation and explicit model predictive control of anaesthesia drug delivery systems". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/23908.
Texto completoKobor, Hans P. "Closed loop supply chain waste reduction through predictive modelling and process analysis". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122573.
Texto completoThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-60).
Verizon distributes Customer Premises Equipment (CPE) such as set top boxes, broadband routers, and WiFi extenders to Fios customers via a variety of paths; for example: direct ship to customer (either for self-install or for later installation by a field technician), delivery via field technicians, or retail store pickup (primarily for self-install). Each method has its own benefits and shortcomings due to impacts on metrics such as inventory levels, shipping costs, on-time delivery, and system complexity. Although the majority of shipments are successfully activated in the customer's home, a non-trivial percentage results in unused returns or inventory shrinkage. These undesirable results represent a significant amount of wasted resources. This thesis is focused on identifying and realizing cost savings in the Fios supply chain through reduction in waste associated with unsuccessful shipments.
In order to effectively analyze the closed-loop supply chain, accurate and reliable process mapping is critical. Interviews with key stakeholders, together with order and shipment data analysis yielded a complete picture of the ecosystem's processes and infrastructure. Process mining techniques augmented this understanding, using event log data to identify and map equipment and information flows across the supply chain. All together this analysis is used to identify order cancellations as a key source of waste. To limit waste, it is necessary to conduct analysis both internal to Verizon's processes and externally, to determine if there are customer trends leading to order termination. Process mining was used for the internal analysis and, while it helped identify singular cases in which process abnormalities were associated with undesirable outcomes, its current form proved unsuited for root cause analysis.
Internal analysis did, however, illuminate opportunities for improvement in radio-frequency identification (RFID) usage and protocols across the supply chain. Current systems can result in poor visibility of equipment as it moves within some segments of the supply chain. The actual monetary impact is difficult to determine but likely to increase as the importance of RFID increases. External analysis is conducted through predictive modelling. Using a variety of data sources, a model with over 80% sensitivity and a low false positive rate is achieved. Operationalizing this model through real time incorporation with sales was explored but found to be overly complex. Instead, the random forest model yielded policy changes guided by the features with the highest importance. A pilot is currently in development to test the efficacy of suggested changes, as the model implies significant savings opportunity.
by Hans P. Kobor.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
Ceran, Murat. "Parametric human spine modelling". Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/7958.
Texto completoAtkinson, Ian Andrew. "Advanced linear predictive speech compression at 3.0 kbits/sec and below". Thesis, University of Surrey, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336527.
Texto completoMcNeilly, Gordon. "Coordinated control of hot strip tandem rolling mill". Thesis, University of Strathclyde, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366772.
Texto completoGyllenhammar, Andreas. "Predictive Modelling of Aquatic Ecosystems at Different Scales using Mass Balances and GIS". Doctoral thesis, Uppsala University, Department of Earth Sciences, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4143.
Texto completoThis thesis presents models applicable for aquatic ecosystems. Geographical Information Systems (GIS) form an important part of the thesis. The dynamic mass balance models focus on nutrient fluxes, biotic/abiotic interactions and operate on different temporal and spatial scales (site, local, regional and international). The relevance and role of scale in mass balance modelling is a focal point of the thesis.
A mesocosm experiment was used to construct a model to estimate the nutrient load of phosphorus and nitrogen from net cage fish farming (i.e., the site scale). The model was used to estimate what feeding conditions that are required for a sustainable aquaculture scenario, i.e., a zero nutrient load situation (a linkage between the site scale and the regional scale).
A dynamic model was constructed for suspended particulate matter (SPM) and sedimentation in coastal areas (i.e., the local scale) with different morphometric characteristics and distances to the Sea. The results demonstrate that the conditions in the Sea (the regional and international scale) are of fundamental importance, also for the most enclosed coastal areas.
A foodweb model for lakes was transformed and recalibrated for Baltic Sea conditions (i.e., the international scale). The model also includes a mass balance model for phosphorus and accounts for key environmental factors that regulate the presuppositions for production and biomasses of key functional groups of organisms. The potential use of the new model for setting fish quotas of cod was examined.
For the intermittent (i.e., regional) scale, topographically complex areas can be difficult to define and model. Therefore, an attempt was made to construct a waterscape subbasin identification program (WASUBI). The method was tested for the Finnish Archipelago Sea and the Okavango Delta in Botswana. A comparison to results from a semi-random delineation method showed that more enclosed basins was created with the WASUBI method.
Shaikhina, Torgyn. "Machine learning with limited information : risk stratification and predictive modelling for clinical applications". Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/99640/.
Texto completoRampartab, Chanel. "Facilitating golden mole conservation in South African highland grasslands : a predictive modelling approach". Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20967.
Texto completoCisneros, Pablo S. G. [Verfasser]. "Quasi-Linear Model Predictive Control: Stability, Modelling and Implementation / Pablo Sebastian Gonzalez Cisneros". Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021. http://d-nb.info/1234550792/34.
Texto completoGonzalez, Cisneros Pablo Sebastian [Verfasser]. "Quasi-Linear Model Predictive Control: Stability, Modelling and Implementation / Pablo Sebastian Gonzalez Cisneros". München : Verlag Dr. Hut, 2021. http://d-nb.info/1238422772/34.
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