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Relevant bibliographies by topics / Generative AI / Dissertations / Theses

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Dissertations / Theses on the topic 'Generative AI'

Author: Grafiati

Published: 14 September 2024

Last updated: 25 July 2025

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1

Lacan, Alice. "Transcriptomics data generation with deep generative models." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG010.

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Cette thèse explore l'utilisation de modèles génératifs profonds pour améliorer la génération de données transcriptomiques, répondant aux déﬁs de rareté des données dans la classiﬁcation de phénotypes de cancers. Nous évaluons la capacité des Autoencodeurs Variationnels (VAEs), des Réseaux Antagonistes Génératifs (GANs) et des modèles de diffusion (DDPM/DDIM) à équilibrer réalisme et diversité sur des données tabulaires de haute dimension. Nous avons d'abord adapté des métriques d'évaluation, supervisées et non supervisées. Nous avons ensuite intégré un moduled'auto-attention basé sur les conn

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TOMA, ANDREA. "PHY-layer Security in Cognitive Radio Networks through Learning Deep Generative Models: an AI-based approach." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1003576.

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Recently, Cognitive Radio (CR) has been intended as an intelligent radio endowed with cognition which can be developed by implementing Artificial Intelligence (AI) techniques. Specifically, data-driven Self-Awareness (SA) functionalities, such as detection of spectrum abnormalities, can be effectively implemented as shown by the proposed research. One important application is PHY-layer security since it is essential to establish secure wireless communications against external jamming attacks. In this framework, signals are non-stationary and features from such kind of dynamic spectrum, with m

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Misino, Eleonora. "Deep Generative Models with Probabilistic Logic Priors." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24058/.

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Many different extensions of the VAE framework have been introduced in the past. How ever, the vast majority of them focused on pure sub-symbolic approaches that are not sufficient for solving generative tasks that require a form of reasoning. In this thesis, we propose the probabilistic logic VAE (PLVAE), a neuro-symbolic deep generative model that combines the representational power of VAEs with the reasoning ability of probabilistic logic programming. The strength of PLVAE resides in its probabilistic logic prior, which provides an interpretable structure to the latent space that can b

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Mennborg, Alexander. "AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85148.

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The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. Manipulating images by cropping can sometimes result in parts of the foreground (i.e. product or person within the image) to be cut off. Image outpainting is a technique that allows images to be extended past its boundaries and can be used to alter the aspect ratio of images. Together

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Alabdallah, Abdallah. "Human Understandable Interpretation of Deep Neural Networks Decisions Using Generative Models." Thesis, Högskolan i Halmstad, Halmstad Embedded and Intelligent Systems Research (EIS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41035.

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Deep Neural Networks have long been considered black box systems, where their interpretability is a concern when applied in safety critical systems. In this work, a novel approach of interpreting the decisions of DNNs is proposed. The approach depends on exploiting generative models and the interpretability of their latent space. Three methods for ranking features are explored, two of which depend on sensitivity analysis, and the third one depends on Random Forest model. The Random Forest model was the most successful to rank the features, given its accuracy and inherent interpretability.

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PANFILO, DANIELE. "Generating Privacy-Compliant, Utility-Preserving Synthetic Tabular and Relational Datasets Through Deep Learning." Doctoral thesis, Università degli Studi di Trieste, 2022. http://hdl.handle.net/11368/3030920.

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Due tendenze hanno rapidamente ridefinito il panorama dell'intelligenza artificiale (IA) negli ultimi decenni. La prima è il rapido sviluppo tecnologico che rende possibile un'intelligenza artificiale sempre più sofisticata. Dal punto di vista dell'hardware, ciò include una maggiore potenza di calcolo ed una sempre crescente efficienza di archiviazione dei dati. Da un punto di vista concettuale e algoritmico, campi come l'apprendimento automatico hanno subito un'impennata e le sinergie tra l'IA e le altre discipline hanno portato a sviluppi considerevoli. La seconda tendenza è la crescente co

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Gopinathan, Muraleekrishna. "Toward embodied navigation through vision and language." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2025. https://ro.ecu.edu.au/theses/2894.

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Embodied AI is a challenging but exciting field in which a robot learns to interact with human-living spaces to perform various tasks. This thesis studies the embodied navigation problem in which a robotic agent navigates in a previously unseen indoor environment based on a challenging task. In particular, the Vision-and-Language Navigation (VLN) task requires a robot to navigate based on a descriptive human-language instruction. This thesis aims to improve VLN agents on four key aspects - their understanding of the environment, training via additional data, correcting navigational errors, and

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Haidar, Ahmad. "Responsible Artificial Intelligence : Designing Frameworks for Ethical, Sustainable, and Risk-Aware Practices." Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASI008.pdf.

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L'intelligence artificielle (IA) transforme rapidement le monde, redéfinissant les relations entre technologie et société. Cette thèse explore le besoin essentiel de développer, de gouverner et d'utiliser l'IA et l'IA générative (IAG) de manière responsable et durable. Elle traite des risques éthiques, des lacunes réglementaires et des défis associés aux systèmes d'IA, tout en proposant des cadres concrets pour promouvoir une Intelligence Artificielle Responsable (IAR) et une Innovation Numérique Responsable (INR).La thèse commence par une analyse approfondie de 27 déclarations éthiques mondia

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Hagström, Adrian, and Rustam Stanikzai. "Writer identification using semi-supervised GAN and LSR method on offline block characters." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43316.

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Block characters are often used when filling out forms, for example when writing ones personal number. The question of whether or not there is recoverable, biometric (identity related) information within individual digits of hand written personal numbers is then relevant. This thesis investigates the question by using both handcrafted features and extracting features via Deep learning (DL) models, and successively limiting the amount of available training samples. Some recent works using DL have presented semi-supervised methods using Generative adveserial network (GAN) generated data together

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Boutet, de Monvel Violaine. "Du feedback vidéo à l'IA générative : sur la récursivité dans les arts et médias." Electronic Thesis or Diss., Paris 3, 2025. http://www.theses.fr/2025PA030009.

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Cette thèse érige, sous le prisme du feedback, un pont entre l’art vidéo pionnier des années 1960 à 1980 et les pratiques en lien avec l’IA générative, que les avancées phénoménales de l’apprentissage profond ont précipitées depuis le milieu des années 2010. La rétroaction renvoie en cybernétique à l’autorégulation par la boucle de systèmes naturels et technologiques. Appliqué à des dispositifs analogiques, numériques ou hybrides en circuit fermé, ce processus automatisé qualifie aussi les effets contingents qui en résultent à l'écran. La première partie revient sur l’influence colossale que l

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Abdelghani, Rania. "Guider les esprits de demain : agents conversationnels pour entraîner la curiosité et la métacognition chez les jeunes apprenants." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0152.

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La curiosité épistémique (CE), i.e. le désir d’explorer une information pour le plaisir qu’elle procure, est un phénomène étudié dans divers domaines. Plusieurs chercheurs ont souligné son rôle fondamental dans le développement cognitif et la promotion d’un apprentissage continu. De plus, la CE est considérée comme clé pour cultiver un esprit capable de s’adapter aux incertitudes du monde. Ces recherches ont suscité un grand intérêt pour la CE en éducation, la considérant essentielle pour permettre aux individus d’être actifs et maîtres de leur apprentissage. Ce sont des propriétés cruciales p

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Santiago, Dionny. "A Model-Based AI-Driven Test Generation System." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3878.

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Achieving high software quality today involves manual analysis, test planning, documentation of testing strategy and test cases, and development of automated test scripts to support regression testing. This thesis is motivated by the opportunity to bridge the gap between current test automation and true test automation by investigating learning-based solutions to software testing. We present an approach that combines a trainable web component classifier, a test case description language, and a trainable test generation and execution system that can learn to generate new test cases. Training da

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Olsen, Linnéa. "Can Chatbot technologies answer work email needs? : A case study on work email needs in an accounting firm." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85013.

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Work email is one of the organisations most critical tool today. It`s have become a standard way to communicate internally and externally. It can also affect our well-being. Email overload has become a well-known issue for many people. With interviews, follow up interviews, and a workshop, three persons from an accounting firm prioritise pre-define emails needs. And identified several other email needs that were added to the priority list. A thematic analysis and summarizing of a Likert scale was conducted to identify underlying work email needs and work email needs that are not apparent. Thre

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Goldstein, ép Lejuste Déborah. "La transformation numérique des TPE/PME traditionnelles comme catalyseur du développement économique territorial : enjeux et impacts socio- économiques." Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0023.

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La révolution induite par la transformation numérique des très petites entreprises (TPE) et des petites et moyennes entreprises (PME) est sans précédent, impulsée par l'émergence rapide des technologies numériques. Cette mutation dépasse largement la simple modernisation des outils ; elle engendre un changement profond dans la manière dont ces entreprises interagissent avec leur environnement économique et social. Cette thèse soutient que cette transformation constitue un processus stratégique intégrant de manière exhaustive et novatrice les technologies digitales dans tous les aspects d'une o

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Ko, Kai-Chung. "Protocol test sequence generation and analysis using AI techniques." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29192.

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This thesis addresses two major issues in protocol conformance testing: test sequence generation and test result analysis. For test sequence generation, a new approach based on the constraint satisfaction problem (CSP) techniques, which is widely used in the AI community, is presented. This method constructs a unique test sequence for a given FSM by using an initial test sequence, such as a transition tour or an UIO test sequence, and incrementally generating a set of test subsequences which together represent the constraints imposed on the overall structure of the FSM. The new method not only

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Strineholm, Philippe. "Exploring Human-Robot Interaction Through Explainable AI Poetry Generation." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54606.

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As the field of Artificial Intelligence continues to evolve into a tool of societal impact, a need of breaking its initial boundaries as a computer science discipline arises to also include different humanistic fields. The work presented in this thesis revolves around the role that explainable artificial intelligence has in human-robot interaction through the study of poetry generators. To better understand the scope of the project, a poetry generators study presents the steps involved in the development process and the evaluation methods. In the algorithmic development of poetry generators, t

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Yannakakis, Georgios N. "AI in computer games : generating interesting interactive opponents by the use of evolutionary computation." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/879.

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Which features of a computer game contribute to the player’s enjoyment of it? How can we automatically generate interesting and satisfying playing experiences for a given game? These are the two key questions addressed in this dissertation. Player satisfaction in computer games depends on a variety of factors; here the focus is on the contribution of the behaviour and strategy of game opponents in predator/prey games. A quantitative metric of the ‘interestingness’ of opponent behaviours is defined based on qualitative considerations of what is enjoyable in such games, and a mathematical formul

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Thörn, Oscar. "AI Drummer - Using Learning to EnhanceArti cial Drummer Creativity." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-90637.

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This project explores the usability of Transformers for learning a model that canplay the drums and accompany a human pianist. Building upon previous workusing fuzzy logic systems three experiments are devised to test the usabilityof Transformers. The report also includes a brief survey of algorithmic musicgeneration.The result of the project are that in their current form Transformers cannoteasily learn collaborative music generation. The key insights is that a new wayto encode sequences are needed for collaboration between human and robot inthe music domain. This encoding should be able to h

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Sahlin, Jesper, and Victor Olsson. "A Smart Terrain based model for generating behavioural patterns." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20441.

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I denna uppsats kommer vi att presentera en modell vars syfte är att generera beteende-mönster för rollfigurer i digitala spel. Spelgenren rollspel (eng. Role-playing games) placerarspelaren i en värld fylld av fantastiska monster och modiga hjältar. I ett sådant spel ärde goda karaktärerna minst lika viktiga som de ondskefulla varelser som spelaren kämparmot. Hur ser livet ut för en spelkaraktär när den inte hjälper spelaren på dess äventyr? Dekanske lever som fiskare på havet eller som bönder ute på fältet. Mer troligt är att de bori en by tillsammans med en massa andra spännande karaktärer.

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GUPTA, NIDHI. "AUTOMATIC GENERATION CONTROL OF INTERCONNECTED MULTI AREA POWER SYSTEM." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18414.

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Currently, power system operation and control with AGC are undergoing fundamental changes due to rapidly increasing amount of renewable sources, energy storage system, restructuring and emerging of new types of power generation, consumption and power electronics technologies. Continuous growth in size and complexity, stochastically changing power demands, system modeling errors, alterations in electric power system structures and variations in the system parameters over the time has turned AGC task into a challenging one. Infrastructure of the intelligent power system should effectively

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POCHET, AXELLE DANY JULIETTE. "MODELING OF GEOBODIES: AI FOR SEISMIC FAULT DETECTION AND ALL-QUADRILATERAL MESH GENERATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35861@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A exploração segura de reservatórios de petróleo necessita uma boa modelagem numérica dos objetos geológicos da sub superfície, que inclui entre outras etapas: interpretação sísmica e geração de malha. Esta tese apresenta um estudo nessas duas áreas. O primeiro estudo é uma contribuição para interpretação de dados sísmicos, que se baseia na detecção automática de falhas sísmicas usando redes neurais profundas. Em particular, usamos Redes Neur

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Jesus, Diana Vaz de. "Apropriação e inserção na contra-arte da geração AI-5 /." São Paulo : [s.n.], 2010. http://hdl.handle.net/11449/86892.

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Orientador: José Leonardo do Nascimento<br>Banca: Sérgio Romagnolo<br>Banca: Francisco Cabral Alambert Junior<br>Resumo: Este trabalho tem como objeto de pesquisa obras de artistas brasileiros, que nas décadas de 1960 e 1970 produziram seus trabalhos utilizando como procedimento artístico a apropriação e também a (re) inserção de suas obras no cotidiano. Dentre os que mais se destacaram nesta prática no período estudado, selecionaram-se para análise os artistas: Nelson Leirner, Cildo Meireles e Antonio Manuel. Definindo melhor o conceito de apropriação e retomando a história desse procedimento

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Jesus, Diana Vaz de [UNESP]. "Apropriação e inserção na contra-arte da geração AI-5." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/86892.

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Made available in DSpace on 2014-06-11T19:22:27Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-12-17Bitstream added on 2014-06-13T20:49:04Z : No. of bitstreams: 1 jesus_dv_me_ia.pdf: 3843326 bytes, checksum: f6400c5bee7f7f889be36cabedca2097 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Este trabalho tem como objeto de pesquisa obras de artistas brasileiros, que nas décadas de 1960 e 1970 produziram seus trabalhos utilizando como procedimento artístico a apropriação e também a (re) inserção de suas obras no cotidiano. Dentre os que mais se destacaram

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Almkvist, Jimmy. "Empirecraft." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-41372.

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I have in my thesis produced a start of a multiplayer, voxel, strategy sandbox game with advanced AI. The world is made out of voxels in the form of blocks that both the players and other units can affect and change. In a world where every block follows the laws of physics for both fluids and physics. The game is designed for several players that fights for controll over land and resources.<br>Jag har i mitt examensarbete producerat en början av ett flerspelar, voxel, strategi och sandlådespel med avancerad AI. Världen är uppbyggd av voxlar i form av block som både spelaren och andra enheter h

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Jonsson, Hanna, and Luyolo Mazomba. "Revenue Generation in Data-driven Healthcare : An exploratory study of how big data solutions can be integrated into the Swedish healthcare system." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161384.

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Abstract The purpose of this study is to investigate how big data solutions in the Swedish healthcare system can generate a revenue. As technology continues to evolve, the use of big data is beginning to transform processes in many different industries, making them more efficient and effective. The opportunities presented by big data have been researched to a large extent in commercial fields, however, research in the use of big data in healthcare is scarce and this is particularly true in the case of Sweden. Furthermore, there is a lack in research that explores the interface between big data

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Wen, Tsung-Hsien. "Recurrent neural network language generation for dialogue systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275648.

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Language is the principal medium for ideas, while dialogue is the most natural and effective way for humans to interact with and access information from machines. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact on usability and perceived quality. Many commonly used NLG systems employ rules and heuristics, which tend to generate inflexible and stylised responses without the natural variation of human language. However, the frequent repetition of identical output forms can quickly make dialogue become tedious for most real-world users.

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BRANCA, GIOVANNI. "Architectures and technologies for quality of service provisioning in next generation networks." Doctoral thesis, Università degli Studi di Cagliari, 2012. http://hdl.handle.net/11584/266146.

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A NGN is a telecommunication network that differs from classical dedicated networks because of its capability to provide voice, video, data and cellular services on the same infrastructure (Quadruple-Play). The ITU-T standardization body has defined the NGN architecture in three different and well-defined strata: the transport stratum which takes care of maintaining end-to-end connectivity, the service stratum that is responsible for enabling the creation and the delivery of services, and finally the application stratum where applications can be created and executed. The most important separa

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Nogueira, Yuri Lenon Barbosa. "IntegraÃÃo Mente e Ambiente para a GeraÃÃo de Comportamentos Emergentes em Personagens Virtuais AutÃnomos AtravÃs da EvoluÃÃo de Redes Neurais Artificiais." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12686.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>O senso de imersÃo do usuÃrio em um ambiente virtual requer nÃo somente alta qualidade visual grÃfica, mas tambÃm comportamentos adequados por parte dos personagens virtuais, isto Ã, com movimentos e aÃÃes que correspondam Ãs suas caracterÃsticas fÃsicas e aos eventos que ocorrem em seu meio. Nesse contexto, percebe-se o papel fundamental desempenhado pelo modo como os agentes se comportam em aplicaÃÃes de RV. O problema que permanece em aberto Ã: âComo obter comportamentos autÃnomos naturais e realistas de personagens virtuais?â. U

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Wickman, Axel. "Exploring feasibility of reinforcement learning flight route planning." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178314.

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This thesis explores and compares traditional and reinforcement learning (RL) methods of performing 2D flight path planning in 3D space. A wide overview of natural, classic, and learning approaches to planning s done in conjunction with a review of some general recurring problems and tradeoffs that appear within planning. This general background then serves as a basis for motivating different possible solutions for this specific problem. These solutions are implemented, together with a testbed inform of a parallelizable simulation environment. This environment makes use of random world generat

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PANTINI, SARA. "Analysis and modelling of leachate and gas generation at landfill sites focused on mechanically-biologically treated waste." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2013. http://hdl.handle.net/2108/203393.

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Despite significant efforts have been directed toward reducing waste generation and encouraging alternative waste management strategies, landfills still remain the main option for Municipal Solid Waste (MSW) disposal in many countries. Hence, landfills and related impacts on the surroundings are still current issues throughout the world. Actually, the major concerns are related to the potential emissions of leachate and landfill gas into the environment, that pose a threat to public health, surface and groundwater pollution, soil contamination and global warming effects. To ensure environmenta

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Kennell, Jonathan. "Generative Temporal Planning with Complex Processes." 2004. http://hdl.handle.net/1721.1/30472.

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Autonomous vehicles are increasingly being used in mission-critical applications, and robust methods are needed for controlling these inherently unreliable and complex systems. This thesis advocates the use of model-based programming, which allows mission designers to program autonomous missions at the level of a coach or wing commander. To support such a system, this thesis presents the Spock generative planner. To generate plans, Spock must be able to piece together vehicle commands and team tactics that have a complex behavior represented by concurrent processes. This is in contrast to

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Hamdi, Abdullah. "Cascading Generative Adversarial Networks for Targeted." Thesis, 2018. http://hdl.handle.net/10754/627557.

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Abundance of labelled data played a crucial role in the recent developments in computer vision, but that faces problems like scalability and transferability to the wild. One alternative approach is to utilize the data without labels, i.e. unsupervised learning, in learning valuable information and put it in use to tackle vision problems. Generative Adversarial Networks (GANs) have gained momentum for their ability to model image distributions in unsupervised manner. They learn to emulate the training set and that enables sampling from that domain and using the knowledge learned for useful appl

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(7242737), Pradeep Periasamy. "Generative Adversarial Networks for Lupus Diagnostics." Thesis, 2019.

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The recent boom of Machine Learning Network Architectures like Generative Adversarial Networks (GAN), Deep Convolution Generative Adversarial Networks (DCGAN), Self Attention Generative Adversarial Networks (SAGAN), Context Conditional Generative Adversarial Networks (CCGAN) and the development of high-performance computing for big data analysis has the potential to be highly beneficial in many domains and fittingly in the early detection of chronic diseases. The clinical heterogeneity of one such chronic auto-immune disease like Systemic Lupus Erythematosus (SLE), also known as Lupus, makes i

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Beal, Jacob. "Generating Communications Systems Through Shared Context." 2002. http://hdl.handle.net/1721.1/7079.

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In a distributed model of intelligence, peer components need to communicate with one another. I present a system which enables two agents connected by a thick twisted bundle of wires to bootstrap a simple communication system from observations of a shared environment. The agents learn a large vocabulary of symbols, as well as inflections on those symbols which allow thematic role-frames to be transmitted. Language acquisition time is rapid and linear in the number of symbols and inflections. The final communication system is robust and performance degrades gradually in the face of problems.

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Flimmel, Július. "Koevoluce AI a generování levelů do hry Super Mario." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-435274.

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Procedural Content Generation is now used in many games to generate a wide variety of content. It often uses players controlled by Artificial Intelligence for its evaluation. PCG content can also be used when training AI players to achieve better generalization. In both of these fields, evolutionary algorithms are employed, but they are rarely used together. In this thesis, we use the coevolution of AI players and level generators for platformer game Super Mario. Coevolution's benefit is, that the AI players are evaluated by adapting level generators, and vice versa, level generators are evalu

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Zhong, Sheng-Jun, and 鐘聖鈞. "Study the Use of Image Generation Techniques to Improve the Performance of AI Assisted Diabetic Retinopathy Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9f7wh3.

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Correia, Bernardo Nunes. "Modeling and Generation of Playable Scenarios Based on Societies of Agents." Master's thesis, 2021. http://hdl.handle.net/10316/96103.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>Geração procedimental de conteúdo em videojogos consiste em abordagens algorítmicas à geração de conteúdo de jogos autónoma ou semiautónoma. É utilizada à vários anos como uma forma de diminuir o conteúdo que artistas e designers têm de criar, para os assistir na criação de conteúdo, para diminuir a quantidade de conteúdo que é necessário guardar em memória, e para permitir a possibilidade de jogos que não necessitam de terminar. Vários métodos têm sido desenvolvidos, cada um com as suas vanta

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