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Dissertations / Theses on the topic 'Neural trunks'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Андрющенко, Володимир Вікторович, Владимир Викторович Андрющенко, Volodymyr Viktorovych Andriushchenko та ін. "Способы устранения дефектов невральных стволов". Thesis, Изд-во СумДУ, 2007. http://essuir.sumdu.edu.ua/handle/123456789/5059.

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2

De, Mattos Coelho Aguiar Juliana. "Mesenchymal potentials of the trunk neural crest cells." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00982495.

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The neural crest (NC) derives from the dorsal borders of the vertebrate neural tube. During development, the NC cells migrate and contribute to the formation of different tissues and organs. Along the anteroposterior axis, the NC gives rise to neurons and glia of the peripheral nervous system and to melanocytes. Furthermore, the cephalic NC yields mesenchymal tissues, which form all facial cartilages and bones, the large part of skull, facial dermis, fat cells and smooth muscle cells in the head. In the trunk of amniotes Vertebrates, these tissues are derived from the mesoderm, not from the NC

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FURTADO, FELIPE MIANA DE FARIA. "NEURAL NETWORKS FOR PREDICTIVE MAINTENANCE ON OFF-HIGWAY TRUCKS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15673@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Com o aumento da demanda por minério no mundo, a complexidade, o tamanho e o preço dos equipamentos de extração mineral aumentaram consideravelmente. Como estas máquinas possuem uma tecnologia de monitoramento embarcada no equipamento, a utilização desses dados para o aumento da confiabilidade e da disponibilidade do equipamento tornou-se fundamental, de modo a reduzir os custos de manutenção. O objetivo desta dissertação foi desenvolver um modelo de apoio à decisão de parada de equipamento, baseado na classificação por Redes Neu

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4

Traver, Michael L. "In-cylinder combustion-based virtual emissions sensing." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=459.

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Thesis (Ph. D.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains x, 144 p. : ill. (some col.) Includes abstract. Includes bibliographical references (p. 81-84).

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5

McLennan, Rebecca. "Expression and function of EphA4 and ephrin-As in avian trunk neural crest migration /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144440.

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6

El, Robrini Nicolas. "Etude du rôle de l'acide rétinoïque dans la morphogenèse de la voie efférente cardiaque." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM5035.

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L'acide rétinoïque (AR), métabolite actif de la vitamine A, est une molécule qui a une fonction pléiotropique au cours du développement embryonnaire dont l'excès ou le déficit entraine diverses pathologies cardiaques. Les mutants perte de fonction pour l'enzyme de synthèse de l'AR, la rétinaldéhyde déshydrogénase 2 Raldh2), possèdent de multiples défauts cardiaques. Ces embryons meurent vers le neuvième jour de développement mais cette létalité peut être sauvée en ajoutant de l'AR dans la nourriturre des femelles en gestation. Les mutants Raldh2-/- sauvés ont un Tronc Artériel Commun (TAC) qui

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7

Bremer, Einar. "Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284139.

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The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. Previous works in data driven predictive maintenance models typically utilize customer and operational data to predict component wear trough regressive or

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8

Voinier, Steven. "Passive Stiffness Characteristics of the Scoliotic Lumbar Torso in Trunk Flexion, Extension, Lateral bending, and Axial Rotation." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52241.

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As the average American age increases, there is a need to study the spine biomechanics of adults with scoliosis. Most studies examining the mechanics of scoliosis have focused on in vitro testing or computer simulations, but in vivo testing of the mechanical response of a scoliotic spine has not yet been reported. The purpose of this study was to quantitatively define the passive stiffness properties of the in vivo scoliotic spine in three principle anatomical motions and identify differences relative to healthy controls. Scoliotic (n=14) and control (n=17) participants with no history of sp

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9

Arnström, Daniel. "State Estimation for Truck and Trailer Systems using Deep Learning." Thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148630.

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High precision control of a truck and trailer system requires accurate and robust state estimation of the system. This thesis work explores the possibility of estimating the states with high accuracy from sensors solely mounted on the truck. The sensors used are a LIDAR sensor, a rear-view camera and a RTK-GNSS receiver. Information about the angles between the truck and the trailer are extracted from LIDAR scans and camera images through deep learning and through model-based approaches. The estimates are fused together with a model of the dynamics of the system in an Extended Kalman Filter to

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10

Freire, Duarte Vaz. "Forecasting U.S. REIT index prices with artificial neural networks." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/22765.

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Mestrado Bolonha em Mathematical Finance<br>Artiﬁcial Neural Networks are innovative mathematical models that have re- cently gathered much attention as a new tool for forecasting in economics and ﬁnance. These algorithms are characterized by being able to handle vast amounts of data and solve complex problems, without the assumption of linearity often made by traditional models. This thesis investigates the use of this Machine Learning method for forecast- ing Real Estate Investment Trusts (REIT) prices and their movement. In this experiment, we make use of a 20-year data sample related to fo

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11

Chen, Kunru. "Recurrent Neural Networks for Fault Detection : An exploratory study on a dataset about air compressor failures of heavy duty trucks." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-38184.

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12

Yucel, Omer Burak. "Calibration Of The Finite Element Model Of A Long Span Cantilever Through Truss Bridge Using Artificial Neural Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609850/index.pdf.

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In recent years, Artificial Neural Networks (ANN) have become widely popular tools in various disciplines of engineering, including civil engineering. In this thesis, Multi-layer perceptron with back-propagation type of network is utilized in calibration of the finite element model of a long span cantilever through truss called Commodore Barry Bridge (CBB). The essence of calibration lies in the phenomena of comparing and correlating the structural response of an analytical model with experimental results as closely as possible. Since CBB is a very large structure having complex structural mec

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13

Pawolski, Verena [Verfasser], Christian [Gutachter] Dahmann, Richard [Gutachter] Funk, and Sigmar [Gutachter] Stricker. "Posterior Neural Plate-Derived Cells Establish Trunk and Tail Somites in the Axolotl (Ambystoma mexicanum) / Verena Pawolski ; Gutachter: Christian Dahmann, Richard Funk, Sigmar Stricker." Dresden : Technische Universität Dresden, 2021. http://d-nb.info/1237320097/34.

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14

Robinson, Tamara Y. "Zebrafish mutant ninja^os5 (nij) is required for enteric neuron and craniofacial cartilage development and Zebrafish mutant hatchback^os20 (hbk) is required for trunk neural crest development." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274980772.

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15

Wittler, Lars. "Anteriore Musterbildung im Wirbeltierembryo die Induktion von Vorderhirn und Herz /." Doctoral thesis, [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=967365570.

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16

Kleman, Björn, and Henrik Lindgren. "Evaluation of model-based fault diagnosis combining physical insights and neural networks applied to an exhaust gas treatment system case study." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176650.

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Fault diagnosis can be used to early detect faults in a technical system, which means that workshop service can be planned before a component is fully degraded. Fault diagnosis helps with avoiding downtime, accidents and can be used to reduce emissions for certain applications. Traditionally, however, diagnosis systems have been designed using ad hoc methods and a lot of system knowledge. Model-based diagnosis is a systematic way of designing diagnosis systems that is modular and offers high performance. A model-based diagnosis system can be designed by making use of mathematical models that a

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17

Segee, Molly Catherine. "Surrogate Models for Transonic Aerodynamics for Multidisciplinary Design Optimization." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71321.

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Multidisciplinary design optimization (MDO) requires many designs to be evaluated while searching for an optimum. As a result, the calculations done to evaluate the designs must be quick and simple to have a reasonable turn-around time. This makes aerodynamic calculations in the transonic regime difficult. Running computational fluid dynamics (CFD) calculations within the MDO code would be too computationally expensive. Instead, CFD is used outside the MDO to find two-dimensional aerodynamic properties of a chosen airfoil shape, BACJ, at a number of points over a range of thickness-to-chord ra

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18

Tsung-Ta, Wu, and 吳宗達. "Truss Optimization Using Artificial Neural Network and Uniform Design." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/46940313014422165253.

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碩士<br>中華大學<br>土木工程學系碩士班<br>101<br>Currently there are quite a few for software structural analysis, yet most of them have been developed for structural analysis rather than structural optimization. Even though optimization can be achieved by mathematical programming, the closure of software packages has made it difficult to integrate mathematical programming with structural analysis software. Therefore, in this research a structural optimization design method based on artificial neural network and design of experiments has been introduced without the need for integration of mathematical progra

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19

Pawolski, Verena. "Posterior Neural Plate-Derived Cells Establish Trunk and Tail Somites in the Axolotl (Ambystoma mexicanum)." 2021. https://tud.qucosa.de/id/qucosa%3A75448.

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The vertebrate tail is unique for each species and fulfils a broad spectrum of functions. In the axolotl (Ambystoma mexicanum), a tailed amphibian, the tail constitutes one-third of the full body length and is necessary for swimming. Despite its size, most of the tail's tissues are derived from the posterior neural plate of the neurula. Although giving rise to neuronal structures of the central nervous system along most of its length, the most posterior part of the neural plate develops preponderantly into presomitic mesoderm (PSM) which forms muscle, bone and cartilage of the tail and posteri

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20

Shih, Chih-Yung, and 施智勇. "Optimal Design of Truss and Frame Structures Using Artificial Neural Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/23846208238603092309.

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碩士<br>淡江大學<br>土木工程學系碩士班<br>101<br>The advanced algorithms for structural optimization design often leads to problems which the final result is not unique and the result is local optium due to the influence of parameter setting or too fast and too slow convergence speed. In general, adding other strategies in analyzing is often necessary in order to reduce the amount of calculation and obtain better results. Artificial neural network (ANN), a parallel distributed processing computing model which differs from advanced algorithms can construct nonlinear characteristics, which creates more accurat

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21

HUANG, JING-REN, and 黃敬仁. "An investigation of neural network architecture:a case study of truck backed-upper problem." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/02904440996496745102.

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22

KOTNOUR, Tomáš. "Systém pro automatický návrh hasičských vozidel." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-394353.

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The topic of this master´s thesis is development of system for configuration of fire truck. The design of the fire truck is based on legislative requirements, future incidents and on a character of landscape. The first part contains these requirements. How to process current incidents and how to predict future incidents is described in the next chapter. For prediction of future incidents are used neural networks are detailed in the third part of the thesis. Implementation of the three selected neural network from previous part for Windows platform is in the fourth part of the thesis. Last part

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23

(12971010), Masoud Mohammadian. "Integrating neural networks, fuzzy logic and genetic algorithms for intelligent control." Thesis, 1993. https://figshare.com/articles/thesis/Integrating_neural_networks_fuzzy_logic_and_genetic_algorithms_for_intelligent_control/20174402.

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<p>In this thesis, the integration of Neural Networks (NNs), Fuzzy Logic (FL) and Genetic Algorithms (GAs) for intelligent control is proposed and applied to the classical problem of docking a truck.</p> <p>A backpropagation neural network architecture using a "step" update weight modification is used to obtain quickly and efficiently trajectory data from given initial states. A new algorithm to define fuzzy logic rules is used on the trajectory data to build a fuzzy logic knowledge base. This fuzzy logic knowledge base is then optimised using a genetic algorithm to obtain a fuzzy logic contro

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24

Schoen, Alexander C. "Complex Vehicle Modeling: A Data Driven Approach." Thesis, 2019. http://hdl.handle.net/1805/21466.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>This thesis proposes an artificial neural network (NN) model to predict fuel consumption in heavy vehicles. The model uses predictors derived from vehicle speed, mass, and road grade. These variables are readily available from telematics devices that are becoming an integral part of connected vehicles. The model predictors are aggregated over a fixed distance traveled (i.e., window) instead of fixed time interval. It was found that 1km windows is most appropriate for the vocations studied in this thesis. Two vocations were studied

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