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1

Ілляшенко, Сергій Миколайович, Сергей Николаевич Ильяшенко та Serhii Mykolaiovych Illiashenko. "Особливості переходу вітчизняних підприємств на інноваційний шлях розвитку". Thesis, ВВП ТОВ "Мрія-1", 2008. http://essuir.sumdu.edu.ua/handle/123456789/21205.

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Проведено дослідження з метою виявлення і аналізу особливостей переходу вітчизняних підприємств на інноваційний шлях розвитку на ринкових засадах. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/21205<br>Проведены исследования с целью выявления и анализа особенностей перехода отечественных предприятий на инновационный путь развития на рыночных началах. При цитировании документа, используйте ссылку http://essuir.sumdu.edu.ua/handle/123456789/21205<br>Are carried out studies for the purpose of development and analysis of the special features of the p
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Leyton, Mario. "Advanced features for algorithmic skeleton programming." Nice, 2008. http://www.theses.fr/2008NICE4027.

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Cette thèse propose un modèle de programmation basé sur le concept de squelettes algorithmiques. Ce modèle se concentre sur les abstractions de programmation parallèle qui offrent une conception proche de celle des application non-parallèles permettant de simplifier leur développment. Ce modèle est destiné à être implémenté sous forme de librairie, et par conséquent se concentre sur les problèmes et les opportunités qu'offre cette approche plutôt qu'une approche orienté langage. En résumé, cette thèse présente un modèle de programmation basé sur les squelettes algorithmiques et son implémentat
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Ekwevugbe, Tobore. "Advanced occupancy measurement using sensor fusion." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10103.

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With roughly about half of the energy used in buildings attributed to Heating, Ventilation, and Air conditioning (HVAC) systems, there is clearly great potential for energy saving through improved building operations. Accurate knowledge of localised and real-time occupancy numbers can have compelling control applications for HVAC systems. However, existing technologies applied for building occupancy measurements are limited, such that a precise and reliable occupant count is difficult to obtain. For example, passive infrared (PIR) sensors commonly used for occupancy sensing in lighting control
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Alonso, Casanovas Oscar. "Enabling active locomotion and advanced features in capsule endoscopy." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/80832.

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The significant development in medical diagnostics and imaging has brought up a lot of new wireless capsule endoscopes coming to health care market. The capsule has been able to minimize patient discomfort and pain during digestive tract screening with less risk of infection and harmless to body organs. This kind of medical procedure is less invasive and gives a great impact compared to the traditional method. Although pill-shaped capsules have existed for over 11 years by now and are currently being used successfully in medical screening to study the GI tract, these systems are passive and a
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Åman, Pohjola Johannes. "Bells and Whistles : Advanced language features in psi-calculi." Licentiate thesis, Uppsala universitet, Avdelningen för datalogi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227638.

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Psi-calculi is a parametric framework for process calculi similar to popular pi-calculus extensions such as the explicit fusion calculus, the applied pi-calculus and the spi calculus. Remarkably, machine-checked proofs of standard algebraic and congruence properties of bisimilarity apply to every instance of the framework. The contribution of this licentiate thesis is to significantly extend the applicability and expressiveness of psi-calculi by incorporating several advanced language features into the framework: broadcasts, higher-order communication, generalised pattern matching, sorts and p
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ElMaghawry, Mohamed. "Advances in Electrocardiographic Features in Arrhythmogenic Right Ventricular Cardiomyopathy." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3423899.

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Introduction Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic heart muscle disease characterized by electrical instability leading to ventricular arrhythmias and sudden cardiac death. The hallmark pathological lesion of ARVC is the transmural loss of the myocardium of the right ventricular (RV) free wall with replacement by fibro-fatty tissue. Three-dimensional electroanatomic voltage mapping (EVM) by CARTO system (Biosense-Webster, Diamond Bar, California) allows identification and characterization of low-voltage regions, i.e. "electroanatomical scars" (EAS), which in pati
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Kouri, Naomi. "Advances in clinical, neuropathologic, and genetic features of corticobasal degeneration." Thesis, College of Medicine - Mayo Clinic, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3702551.

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<p> This is a dissertation on the neurodegenerative tauopathy corticobasal degeneration (CBD). Because CBD is a rare disorder and has &lt;50% antemortem diagnostic accuracy, we sought to learn as much as possible from our invaluable resource, having the largest, single neuropathologically-confirmed CBD cohort in the world. This is a culmination of several different projects, all focused on neuropathologic, genetic, and clinical features of CBD, with the overall intent being to help patients who will suffer from this devastating disorder. Each study/chapter had a specific hypothesis, aimed t
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Li, Rui Fa. "Advanced process monitoring and control using principal and independent component analysis." Thesis, University of Leeds, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275714.

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Bekiaris, Nikolaos 1970. "Advanced aircraft seat design : designing features for improving comfort and ergonomy." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/50082.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999.<br>Includes bibliographical references (leaves 61-62).<br>This design project examines scientific, creative and innovative means to improve passenger comfort in commercial airplane tourist-class seats during long haul flights. These means have been studied, designed, manufactured and tested consistent with the current size, space and safety constraints. The project involved three phases. In the first phase, the human factors research area, which includes ergonomics, human physiology and anthrop
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Pei, Mo Mo. "Modeling the performance of many-core programs on GPUs with advanced features." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592954.

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Santiago, Pinazo Sonia. "Advanced Features in Protocol Verification: Theory, Properties, and Efficiency in Maude-NPA." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48527.

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The area of formal analysis of cryptographic protocols has been an active one since the mid 80’s. The idea is to verify communication protocols that use encryption to guarantee secrecy and that use authentication of data to ensure security. Formal methods are used in protocol analysis to provide formal proofs of security, and to uncover bugs and security flaws that in some cases had remained unknown long after the original protocol publication, such as the case of the well known Needham-Schroeder Public Key (NSPK) protocol. In this thesis we tackle problems regarding the three main pil
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Johnson, Earl E. "Despite Having More Advanced Features, Hearing Aids Hold Line on Retail Price." Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/1968.

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Despite the growing popularity of state-of-the-art open-canal mini-BTEs, which were discussed in last month's Cover Story, and the increasing prevalence of advanced hearing aid features, the annual Hearing Journal/Audiology Onlinedispenser survey conducted in January found only small, inflation-appropriate increases in the average retail price of hearing aids over the past 3 years. Specifically, the average price of the hearing aids that participating dispensers reported selling in 2007 was $1986, only marginally higher than the average prices of $1912 and $1868 in 2006 and 2005, respectively.
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Yang, Gyusuk. "Grammatical Features of Structural Elaboration and Compression Common in Advanced ESL Academic Writing." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5286.

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The present study replicated the research framework of a previous study (Biber, Gray, & Poonpon, 2011) that identifies the grammatical complexity of L1 professional academic prose as strongly favoring a dense use of phrasal nominal modifiers such as prepositional phrases as postmodifiers, attributive adjectives, and nouns as premodifiers which characterize its unique structurally compressed discourse style. The main purpose of the present study was to explore syntactic similarities and differences between L1 professional and L2 student academic writing in terms of their reliance on phrasal/nom
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Price, Stanton Robert. "Advanced feature learning and representation in image processing for anomaly detection." Thesis, Mississippi State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1586997.

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<p> Techniques for improving the information quality present in imagery for feature extraction are proposed in this thesis. Specifically, two methods are presented: soft feature extraction and improved Evolution-COnstructed (iECO) features. Soft features comprise the extraction of image-space knowledge by performing a per-pixel weighting based on an importance map. Through soft features, one is able to extract features relevant to identifying a given object versus its background. Next, the iECO features framework is presented. The iECO features framework uses evolutionary computation algorithm
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Wei, Chenghao. "Advanced modelling and feature extraction for fault diagnosis of power apparatus." Thesis, University of Liverpool, 2015. http://livrepository.liverpool.ac.uk/2013919/.

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This thesis presents novel methods for advanced modelling and fault diagnosis of power apparatuses, which mainly contain power transformers and induction motors. These two popular applied power apparatuses are inherently reliable. But, they may deteriorate and fail without effective preventive maintenance. This gives rise to the need of research work for condition monitoring and assessment. For the condition monitoring and assessment of a power transformer, dissolved gas analysis (DGA) has been applied to determine the condition of a power transformer during the past decades. A core problem ne
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Ma, Zhenhua. "Advanced feature based techniques for landmine detection using ground penetrating radar." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4971.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on November 11, 2008) Includes bibliographical references.
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Wang, Yuanxun. "Radar signature prediction and feature extraction using advanced signal processing techniques /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Webb, Jason N. "The advanced features of Mac OS X and their benefits to the design community /." Online version of thesis, 2003. http://homepage.mac.com/jasonwebb/thesis/.

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Lenz, Benjamin [Verfasser], and Martin [Akademischer Betreuer] Bogdan. "Smart Feature Selection to enable Advanced Virtual Metrology / Benjamin Lenz ; Betreuer: Martin Bogdan." Tübingen : Universitätsbibliothek Tübingen, 2015. http://d-nb.info/1163461601/34.

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Reza, Tasmia. "Object Detection Using Feature Extraction and Deep Learning for Advanced Driver Assistance Systems." Thesis, Mississippi State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10841471.

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<p> A comparison of performance between tradition support vector machine (SVM), single kernel, multiple kernel learning (MKL), and modern deep learning (DL) classifiers are observed in this thesis. The goal is to implement different machine-learning classification system for object detection of three-dimensional (3D) Light Detection and Ranging (LiDAR) data. The linear SVM, non linear single kernel, and MKL requires hand crafted features for training and testing their algorithm. The DL approach learns the features itself and trains the algorithm. At the end of these studies, an assessment of a
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Kautzsch, Alexander [Verfasser]. "The Attainment of an English Accent : British and American Features in Advanced German Learners / Alexander Kautzsch." Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2017. http://d-nb.info/1137447850/34.

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Khalil, Mahdi Adel. "Structural and Mechanistic Features of a DNA-Based Catalyst (DNAzyme/Deoxyribozyme) : An Advanced EPR/ESR Investigation." Electronic Thesis or Diss., Université de Lille (2022-....), 2025. https://pepite-depot.univ-lille.fr/ToutIDP/EDSMRE/2025/2025ULILR002.pdf.

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Les DNAzymes, ou deoxyribozymes, catalyseurs à base d'ADN, sont utilisés pour différentes réactions chimiques, y compris le clivage de l'ADN et de l'ARN. RadDz3, un DNAzyme introduit en 2017, se distingue par son mécanisme de clivage oxydatif de l'ADN entraîné par des radicaux, imitant la bléomycine (utilisée dans le traitement du cancer). L'élucidation des caractéristiques structurelles et mécanistiques des DNAzymes peut effectivement élargir et renforcer les applications de ces catalyseurs artificiels, notamment au niveau cellulaire.RadDz3 a été principalement analysé en se basant sur les pr
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Nakisa, Bahareh. "Emotion classification using advanced machine learning techniques applied to wearable physiological signals data." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/129875/9/Bahareh%20Nakisa%20Thesis.pdf.

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This research contributed to the development of advanced feature selection model, hyperparameter optimization and temporal multimodal deep learning model to improve the performance of dimensional emotion recognition. This study adopts different approaches based on portable wearable physiological sensors. It identified best models for feature selection and best hyperparameter values for Long Short-Term Memory network and how to fuse multi-modal sensors efficiently for assessing emotion recognition. All methods of this thesis collectively deliver better algorithms and maximize the use of miniatu
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Rein-Jury, Alexander [Verfasser], Mark-Oliver [Akademischer Betreuer] Reiser, Stefan [Akademischer Betreuer] Jähnichen, and Klaus [Akademischer Betreuer] Pohl. "Feature constraint propagation along configuration links for advanced feature models / Alexander Rein-Jury. Gutachter: Stefan Jähnichen ; Klaus Pohl. Betreuer: Mark-Oliver Reiser." Berlin : Technische Universität Berlin, 2013. http://d-nb.info/106566544X/34.

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Kämpchen, Nico. "Feature-level fusion of laser scanner and video data for advanced driver assistance systems." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:289-vts-59588.

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Ahmed, Omar Wahab. "Enhanced flare prediction by advanced feature extraction from solar images : developing automated imaging and machine learning techniques for processing solar images and extracting features from active regions to enable the efficient prediction of solar flares." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5407.

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Space weather has become an international issue due to the catastrophic impact it can have on modern societies. Solar flares are one of the major solar activities that drive space weather and yet their occurrence is not fully understood. Research is required to yield a better understanding of flare occurrence and enable the development of an accurate flare prediction system, which can warn industries most at risk to take preventative measures to mitigate or avoid the effects of space weather. This thesis introduces novel technologies developed by combining advances in statistical physics, imag
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Ahmed, Omar W. "Enhanced flare prediction by advanced feature extraction from solar images : developing automated imaging and machine learning techniques for processing solar images and extracting features from active regions to enable the efficient prediction of solar flares." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5407.

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Space weather has become an international issue due to the catastrophic impact it can have on modern societies. Solar flares are one of the major solar activities that drive space weather and yet their occurrence is not fully understood. Research is required to yield a better understanding of flare occurrence and enable the development of an accurate flare prediction system, which can warn industries most at risk to take preventative measures to mitigate or avoid the effects of space weather. This thesis introduces novel technologies developed by combining advances in statistical physics
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Alavifoumani, Elhamosadat. "Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24170.

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Crack initiation and propagation in the bladed disks of aero-engines caused by high-cycle fatigue under cyclic loads could result in the breakdown of the engines if not detected at an early stage. Although a number of fault detection methods have been reported in the literature, it still remains very challenging to develop a reliable online technique to accurately diagnose defects in bladed disks. One of the main challenges is to characterize signals contaminated by noises. These noises caused by very dynamic engine operation environment. This work presents a new technique for engine bladed di
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Russell, Margo K. "A Comparison of Linguistic Features in the Academic Writing of Advanced English Language Learner and English First Language University Students." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/2023.

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Writing for an academic purpose is not an easy skill to master, whether for a native English speaker (L1) or an English language learner (ELL). In order to better prepare ELL students for success in mainstream content courses at the university level, more must be known about the characteristics of student writing in the local context of an intensive English program. This information can be used to inform ELL writing instructors of which linguistic features to target so that their students produce writing that sounds appropriate for the academic written register. Two corpora of 30 research essa
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Di, Bono Maria Grazia. "Beyond mind reading: advanced machine learning techniques for FMRI data analysis." Doctoral thesis, Università degli studi di Padova, 2009. http://hdl.handle.net/11577/3426149.

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The advent of functional Magnetic Resonance Imaging (fMRI) has significantly improved the knowledge about the neural correlates of perceptual and cognitive processes. The aim of this thesis is to discuss the characteristics of different approaches for fMRI data analysis, from the conventional mass univariate analysis (General Linear Model - GLM), to the multivariate analysis (i.e., data-driven and pattern based methods), and propose a novel, advanced method (Functional ANOVA Models of Gaussian Kernels - FAM-GK) for the analysis of fMRI data acquired in the context of fast event-related experim
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Autio, J. (Jyrki). "Environmental factors controlling the position of the actual timberline and treeline on the fells of Finnish Lapland." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514280075.

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Abstract Air and soil temperatures, snow cover, serious snow load damage to coniferous trees, wind, topography and edaphic factors on the fells situated between 67°N and 68°N in Finnish Lapland are described and their influence on the location of the actual timberline and treeline is discussed. In addition the relation between annual climate conditions and pollen deposition in the timberline ecotone is analysed and the results of seedling density monitoring in the same environment are presented. The potential for the actual timberline and treeline to advance to a higher elevation is also discu
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Shao, Wenhao. "Enhancing Video Anomaly Detection by Leveraging Advanced Deep Learning Techniques." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS012.

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La sécurité est une préoccupation majeure dans différents domaines, et le déploiement de systèmes de surveillance en temps réel permet de relever ce défi. En utilisant des techniques d'apprentissage profond, il permet de reconnaître efficacement les événements anormaux. Cependant, même avec les avancées actuelles des méthodes de détection des anomalies, distinguer les événements anormaux des événements normaux dans les scénarios du monde réel reste un défi en raison d'événements anormaux rares, visuellement diversifiés et non reconnaissables de façon prévisible. Cela est particulièrement vrai
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Alwazir, Jihad Khalil. "Exploring lean production in the flexible manufacturing systems environment : some tensions between features of advanced manufacturing technologies and new wave manufacturing strategies." Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/6912.

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GALLOTTI, ALBERTO LUIGI. "Validating advanced MRI features as surrogate biomarkers of the molecular subgroups of glioblastoma by exploiting patient-specific cancer stem cell (CSC)-based animal models." Doctoral thesis, Università Vita-Salute San Raffaele, 2023. https://hdl.handle.net/20.500.11768/136637.

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Introduction: Glioblastoma (GBM) is the most malignant brain tumor in adults. Transcriptional subgroups (proneural, PN, classical, CL, and mesenchymal, MES) have been identified, with MES being the most aggressive. Radiomics has been recently applied to neurooncology, but generally not to transcriptional affiliation. GBM derived glioma stem cells (GSCs) are used to model GBM, but culturing conditions may affect effective modeling. Materials and Methods: 36 IDHwt GBMs have been studied with advanced MRI protocols including diffusion sequences. 14 GSC lines were established from 48 GBMs and wer
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Bachofer, Felix [Verfasser], and Volker [Akademischer Betreuer] Hochschild. "Assessment of Paleo-Landscape Features using Advanced Remote Sensing Techniques, Modelling and GIS Methods in the Lake Manyara Basin, Northern Tanzania / Felix Bachofer ; Betreuer: Volker Hochschild." Tübingen : Universitätsbibliothek Tübingen, 2016. http://d-nb.info/1163665320/34.

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Ma, Canlong [Verfasser], Julien [Akademischer Betreuer] Provost, Julien [Gutachter] Provost, and Georg [Gutachter] Frey. "Advances in Model-Based Testing of Programmable Controllers: Automatic Test Generation using Design-to-Test and Plant Features / Canlong Ma ; Gutachter: Julien Provost, Georg Frey ; Betreuer: Julien Provost." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1193650402/34.

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Bai, Yun. "Textual Data for Advanced Modelling of Electricity Demand and Price Dynamics." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLM004.

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Malgré la maturité croissante des systèmes électriques et des marchés actuels, ils sont toujours confrontés à de nombreux risques incertains, tels que des changements soudains de la demande d’électricité en raison d’évènements spéciaux. Dans ce contexte, l’utilisation des technologies de l’apprentissage automatique et du traitement du langage naturel (NLP) pour une modélisation intégrée afin de répondre aux incertitudes des systèmes électriques présente un potentiel significatif.Cette thèse revisite les modèles de prévision de l’électricité traditionnels, en explorant le potentiel d’utilisation
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Duthon, Pierre. "Descripteurs d'images pour les systèmes de vision routiers en situations atmosphériques dégradées et caractérisation des hydrométéores." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC065/document.

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Les systèmes de vision artificielle sont de plus en plus présents en contexte routier. Ils sont installés sur l'infrastructure, pour la gestion du trafic, ou placés à l'intérieur du véhicule, pour proposer des aides à la conduite. Dans les deux cas, les systèmes de vision artificielle visent à augmenter la sécurité et à optimiser les déplacements. Une revue bibliographique retrace les origines et le développement des algorithmes de vision artificielle en contexte routier. Elle permet de démontrer l'importance des descripteurs d'images dans la chaîne de traitement des algorithmes. Elle se pours
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Tecklenburg, Gerhard. "Design of body assemblies with distributed tasks under the support of parametric associative design (PAD)." Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/5809.

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This investigation identifies how CAD models of typical automotive body assemblies could be defined to allow a continuous optimisation of the number of iterations required for the final design and the number of variants on the basis of Parametric Associative Design (PAD) and how methodologies for the development of surfaces, parts and assemblies of the automotive body can be represented and structured for a multiple re-use in a collaborative environment of concept phase of a Product Evolution (Formation) Process (PEP). The standardisation of optimised processes and methodologies and the enhanc
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Atluri, Rama Prasad. "SMR topologies with advanced waveshaping features." Thesis, 1989. http://spectrum.library.concordia.ca/4239/1/NL56094.pdf.

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Halbleib, Michael D. "Using advanced spreadsheet features for agricultural GIS applications." Thesis, 2001. http://hdl.handle.net/1957/31441.

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A GIS analysis procedure was developed to explore relationships between imagery, yield data, soil information, and other assessments of a field or orchard. A set of conversion utilities, a spreadsheet, and an inexpensive shape file viewer were used to manipulate, plot, and display data. Specific features described include procedures used to: 1) display automated yield monitoring and aerial imagery data as surface maps for visual analysis, 2) generate maps from gridded soil sampling schemes that display either the collected soil data values or management information derived from further manipul
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Wang, Jinwen. "Design of advanced materials with novel microstructural features /." 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3337956.

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Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.<br>Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 7085. Adviser: James Economy. Includes bibliographical references. Available on microfilm from Pro Quest Information and Learning.
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Ahmed, Omar W., Rami S. R. Qahwaji, Tufan Colak, P. A. Higgins, P. T. Gallagher, and D. S. Bloomfield. "Solar flare prediction using advanced feature extraction, machine learning and feature selection." 2013. http://hdl.handle.net/10454/7581.

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Yes<br>Novel machine-learning and feature-selection algorithms have been developed to study: (i) the flare prediction capability of magnetic feature (MF) properties generated by the recently developed Solar Monitor Active Region Tracker (SMART); (ii) SMART's MF properties that are most significantly related to flare occurrence. Spatio-temporal association algorithms are developed to associate MFs with flares from April 1996 to December 2010 in order to differentiate flaring and non-flaring MFs and enable the application of machine learning and feature selection algorithms. A machine-learn
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Martone, Alfonso. "MULTISCALE DESIGN AND MANUFACTURING OF ADVANCED COMPOSITES INTEGRATING DAMPING FEATURES." Tesi di dottorato, 2009. http://www.fedoa.unina.it/3863/1/Martone_Thesis.pdf.

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Multi-functionality is a current issue in materials design, in particular, the fast growing application of advanced composites in commercial aeronautic is raising the need to design primary structures with composite material that perform multiple functions: i.e. able to fulfil not only mechanical allowable but also functional requirement such as vibroacoustic and fire reaction. The development of multifunctional design tools integrating structural and damping features enables a next step toward the exploitation of the composite materials benefits. It is worth noting that the structural damping
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45

Couto, Rui Manuel Gonçalves do. "Improving solar power forecasting through advanced feature engineering." Master's thesis, 2020. https://hdl.handle.net/10216/132804.

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The production of solar energy is undoubtedly dependent on weather conditions and the time of day in which it occurs. Therefore, this source of energy being extremely variable and difficult to predict with high accuracy after many studies, the need for a new approach surges in order to increase it. With this project, it is proposed the use of images as input for deep learning structures with the purpose to achieve automatic feature extraction that can be replicated to other data sets. The images are generated from a grid of numerical weather predictions of, particularly, surface downelling sho
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Couto, Rui Manuel Gonçalves do. "Improving solar power forecasting through advanced feature engineering." Dissertação, 2020. https://hdl.handle.net/10216/132804.

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The production of solar energy is undoubtedly dependent on weather conditions and the time of day in which it occurs. Therefore, this source of energy being extremely variable and difficult to predict with high accuracy after many studies, the need for a new approach surges in order to increase it. With this project, it is proposed the use of images as input for deep learning structures with the purpose to achieve automatic feature extraction that can be replicated to other data sets. The images are generated from a grid of numerical weather predictions of, particularly, surface downelling sho
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47

Hsu, Chih-Cheng, and 許志誠. "Exploration of Freeway Spatiotemporal Traffic Features with Advanced Cellular Automaton Modeling." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/23503887195615908458.

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博士<br>國立交通大學<br>交通運輸研究所<br>98<br>Cellular automata (CA) model was first proposed by Nagel and Schreckenberg in 1992 to simulate the highway traffic. The core logic was to introduce several simple update rules for vehicle movement in computer programs to efficiently simulate the complicated interactive traffic behaviors. A considerable number of revised or extended CA models have been developed to date, most of which only focused on pure traffic with coarse cell units in the simulations. Very little has devoted to the heterogeneous traffic situations and/or mixed traffic contexts, which compris
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Wu, Chaohong. "Advanced feature extraction algorithms for automatic fingerprint recognition systems." 2007. http://proquest.umi.com/pqdweb?did=1397920751&sid=14&Fmt=2&clientId=39334&RQT=309&VName=PQD.

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Thesis (Ph.D.)--State University of New York at Buffalo, 2007.<br>Title from PDF title page (viewed on Mar. 04, 2008) Available through UMI ProQuest Digital Dissertations. Thesis adviser: Govindaraju, Venu. Includes bibliographical references.
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Herath, Mudiyanselage DD. "Sonar image based advanced feature extraction and feature mapping algorithm for under-ice AUV navigation." Thesis, 2018. https://eprints.utas.edu.au/28587/1/Herath_Mudiyanselage_whole_thesis.pdf.

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Navigation and localisation of AUVs are challenging in underwater or under-ice environments due to the unavoidable growth of navigational drift in inertial navigation systems and Doppler velocity logs, especially in long-range under-ice missions where surfacing is not possible. Similarly, acoustic transponders are time consuming and difficult to deploy. Terrain Relative Navigation (TRN) and Simultaneous Localisation and Mapping (SLAM) based technologies are emerging as promising solutions as they require neither deploying sensors nor the calculation of distance travelled from a reference point
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Sullivan, Gregory T. "Advanced Programming Language Features for Executable Design Patterns "Better Patterns Through Reflection." 2002. http://hdl.handle.net/1721.1/6686.

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The Design Patterns book [GOF95] presents 24 time-tested patterns that consistently appear in well-designed software systems. Each pattern is presented with a description of the design problem the pattern addresses, as well as sample implementation code and design considerations. This paper explores how the patterns from the "Gang of Four'', or "GOF'' book, as it is often called, appear when similar problems are addressed using a dynamic, higher-order, object-oriented programming language. Some of the patterns disappear -- that is, they are supported directly by language features, som
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