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Relevant bibliographies by topics / Autonomous AI / Dissertations / Theses

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Dissertations / Theses on the topic 'Autonomous AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Hajj, hassan Houssam. "Enabling autonomous IoT systems : A middleware-based hybrid AI approach to self-adaptation." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS029.

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La prolifération de l'Internet des objets (IoT) a transformé les espaces traditionnels en environnements plus intelligents et interconnectés. Cela a donné lieu à des systèmes IoT sophistiqués, généralement composés de dispositifs qui détectent des phénomènes physiques et génèrent des données pouvant être traitées par des nœuds de calcul avant d'être consommées par des applications. Ces applications définissent généralement des exigences spécifiques de qualité de service (QoS) qui doivent être respectées (par exemple, disponibilité, précision, latence). À cette fin, les systèmes IoT sont souven

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Smakaj, Paola. "Applicazione di strumenti e metodi dell'Informatica Forense ai dati contenuti negli autoveicoli." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23045/.

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La tesi si colloca nel perimetro dell'Informatica Forense, o Digital Forensics, la scienza forense che «studia l'insieme delle attività che sono rivolte all'analisi e alla soluzione dei casi legati alla criminalità informatica, comprendendo tra questi i crimini realizzati con l'uso di un computer, diretti a un computer o in cui il computer può comunque rappresentare una fonte di prova». Gli oggetti e i dispositivi che utilizziamo conservano tracce che, se estratte e analizzate da un esperto informatico forense, possono aiutare nell'accertamento di un fatto giuridicamente rilevante. Tuttavia, c

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3

Aslansefat, K., Sohag Kabir, Amr R. A. Abdullatif, Vinod Vasudevan, and Y. Papadopoulos. "Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems." IEEE, 2021. http://hdl.handle.net/10454/18591.

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Yes<br>This article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-the loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relatively high due to insufficient training data, distributional shi

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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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Stroozas, B. A., D. Biroscak, M. Eckert, et al. "The NASA EUVE Satellite in Transition: From Staffed to Autonomous Science Payload Operations." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611421.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The science payload for NASA's Extreme Ultraviolet Explorer (EUVE) satellite is controlled from the EUVE Science Operations Center (ESOC) at the Center for EUV Astrophysics (CEA), University of California, Berkeley (UCB). The ESOC is in the process of a transition from a single staffed shift to an autonomous, zero-shift, "lights out" science payload operations scenario (a.k.a., 1:0). The purpose of the 1:0 transition is to automate all of the remainin

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6

Bartoli, Giacomo. "Edge AI: Deep Learning techniques for Computer Vision applied to embedded systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16820/.

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In the last decade, Machine Learning techniques have been used in different fields, ranging from finance to healthcare and even marketing. Amongst all these techniques, the ones adopting a Deep Learning approach were revealed to outperform humans in tasks such as object detection, image classification and speech recognition. This thesis introduces the concept of Edge AI: that is the possibility to build learning models capable of making inference locally, without any dependence on expensive servers or cloud services. A first case study we consider is based on the Google AIY Vision Kit, an inte

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Habib, Yassine. "Monocular SLAM densification for 3D mapping and autonomous drone navigation." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0390.

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Les drones aériens sont essentiels dans les missions de recherche et de sauvetage car ils permettent une reconnaissance rapide de la zone de la mission, tel qu’un bâtiment effondré. La cartographie 3D dense et métrique en temps réel est cruciale pour capturer la structure de l’environnement et permettre une navigation autonome. L’approche privilégiée pour cette tâche consiste à utiliser du SLAM (Simultaneous Localization and Mapping) à partir d’une caméra monoculaire synchronisée avec une centrale inertielle (IMU). Les algorithmes à l’état de l’art maximisent l’efficacité en triangulant un nom

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Jönsson, Jonatan, and Felix Stenbäck. "Monte-Carlo Tree Search in Continuous Action Spaces for Autonomous Racing : F1-tenth." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42442.

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Autonomous cars involve problems with control and planning. In thispaper, we implement and evaluate an autonomous agent based ona Monte-Carlo Tree Search in continuous action space. To facilitatethe algorithm, we extend an existing simulation framework and usea GPU for faster calculations. We compare three action generatorsand two rewards functions. The results show that MCTS convergesto an effective driving agent in static environments. However, it onlysucceeds at driving slow speeds in real-time. We discuss the problemsthat arise in dynamic and static environments and look to future workin i

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9

Becze, Joseph. "Volvo VISE." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171730.

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Every year over 1.35 Million lives are lost to road accidents. Trucks are probably the most dangerous vehicles on public roads due to their size and mass. 15% of all accidents involve trucks and the majority of victims are car occupants. Most of these accidents happen outside of urban areas at high speeds. In the dawn of autonomous drive and electromobility the trucking industry has the opportunity to reinvent their products. Volvo Trucks is a company that has Safety in its DNA. Future Volvo trucks could be tailored around Safety to save lives and bring justice to this core value. Autonomy has

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10

Whiting, Jeffrey S. "Cognitive and Behavioral Model Ensembles for Autonomous Virtual Characters." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1873.pdf.

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11

Esbjörnsson, Jimmy. "EMO - A Computational Emotional State Module : Emotions and their influence on the behaviour of autonomous agents." Thesis, Linköping University, Department of Science and Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9090.

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<p>Artificial intelligence (AI) is already a fundamental component of computer games. In this context is emotions a growing part in simulating real life. The proposed emotional state module, provides a way for the game agents to select an action in real-time virtual environments. The modules function has been tested with the open-source strategy game ORTS. This thesis proposes a new approach for the design of an interacting network, similar to a spreading activation system, of emotional states that keeps track of emotion intensities changing and interacting over time. The network of emotions c

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MAZZIA, VITTORIO. "Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968456.

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13

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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14

Beltran, Nicole. "Artificial Intelligence in Lethal Automated Weapon Systems - What's the Problem? : Analysing the framing of LAWS in the EU ethics guidelines for trustworthy AI, the European Parliament Resolution on autonomous weapon systems and the CCW GGE guiding principles." Thesis, Uppsala universitet, Teologiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412188.

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Lethal automated weapon systems (LAWS) are developed and deployed by a growing number of state and non-state actors, although no international legally binding framework exists as of yet. As a first attempt to regulate LAWS the UN appointed a group of governmental experts (GGE) to create the guiding principles on the issue of LAWS AI. A few years later the EU appointed an expert group to create the Ethics guideline for trustworthy and the European Parliament passed a resolution on the issue of LAWS. This thesis attempts to make the underlying norms and discourses that have shaped these guiding

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Larsson, Joel, and Rasmus Hedberg. "Development of machine learning models for object identification of parasite eggs using microscopy." Thesis, Uppsala universitet, Signaler och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414386.

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Over one billion people in developing countries are afflicted by parasitic infections caused by soil-transmitted helminths. These infections are treatable with cheap and safe medicine that is widely available. However, diagnosis of these infections has proven to be a bottleneck by the fact that it is time-consuming, requires expensive equipment and trained personnel to be consistent and accurate. This study aimed to investigate the viability and performance of five machine learning models and a 'modular neural network' approach to localize and classify the following parasite eggs in microscopi

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16

Birindwa, Fleury. "Prestandajämförelse mellan Xception, InceptionV3 och MobileNetV2 för bildklassificering på nätpaneler." Thesis, Jönköping University, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51351.

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Under de senaste året har modeller för djupinlärning använts inom nästa alla områden, från industri till akademi, särskilt för bildklassifikation. Dessa modeller är dock enorma i storlek, med miljontals parametrar, vilket gör det svårt att distribuera till mindre enheter med begränsade resurser såsom mobiltelefoner. Denna studie tar upp små modeller av faltningsnätverk som är toppmoderna inom djupinlärning och vars storlek är lämplig för mobilapplikation. Syftet med denna studie är att utvärdera prestanda på faltningsnätverken Xception, InceptionV3 och MobilNetV2 för att underlätta vid valbesl

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17

Lycken, Hanna. "Artificiell intelligens och gender bias : En studie av samband mellan artificiell intelligens, gender bias och könsdiskriminering." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-398282.

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AI spås få lika stor påverkan på samhället som elektricitet haft och avancemangen inom till exempel maskininlärning och neurala nätverk har tagit AI in i sektorer som rättsväsende, rekrytering och hälso- och sjukvård. Men AI-system är, precis som människor, känsliga för olika typer av snedvridningar, vilket kan leda till orättvisa beslut. En alarmerande mängd studier och rapporter visar att AI i flera fall speglar, sprider och förstärker befintliga snedvridningar i samhället i form av fördomar och värderingar vad gäller könsstereotyper och könsdiskriminering. Algoritmer som används i bildigenk

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18

Djikic, Addi. "Segmentation and Depth Estimation of Urban Road Using Monocular Camera and Convolutional Neural Networks." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235496.

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Deep learning for safe autonomous transport is rapidly emerging. Fast and robust perception for autonomous vehicles will be crucial for future navigation in urban areas with high traffic and human interplay. Previous work focuses on extracting full image depth maps, or finding specific road features such as lanes. However, in urban environments lanes are not always present, and sensors such as LiDAR with 3D point clouds provide a quite sparse depth perception of road with demanding algorithmic approaches. In this thesis we derive a novel convolutional neural network that we call AutoNet. It is

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19

Dinerstein, Jonathan J. "Improving and Extending Behavioral Animation Through Machine Learning." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/310.

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Behavioral animation has become popular for creating virtual characters that are autonomous agents and thus self-animating. This is useful for lessening the workload of human animators, populating virtual environments with interactive agents, etc. Unfortunately, current behavioral animation techniques suffer from three key problems: (1) deliberative behavioral models (i.e., cognitive models) are slow to execute; (2) interactive virtual characters cannot adapt online due to interaction with a human user; (3) programming of behavioral models is a difficult and time-intensive process. This disser

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20

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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Sievert, Rolf. "Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175173.

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Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) i

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22

Narmack, Kirilll. "Dynamic Speed Adaptation for Curves using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233545.

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The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree

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LaMacchia, Brian A. "Internet Fish." 1996. http://hdl.handle.net/1721.1/6770.

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I have invented "Internet Fish," a novel class of resource-discovery tools designed to help users extract useful information from the Internet. Internet Fish (IFish) are semi-autonomous, persistent information brokers; users deploy individual IFish to gather and refine information related to a particular topic. An IFish will initiate research, continue to discover new sources of information, and keep tabs on new developments in that topic. As part of the information-gathering process the user interacts with his IFish to find out what it has learned, answer questions it has posed, a

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24

Kvasňovský, Tomáš. "Auntonomní zbraňové systémy jako další revoluce ve vojenství a důsledky jejich nasazení pro globální bezpečnost." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-410374.

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This thesis addresses developments in Artificial Intelligence and the increasing trend of robotization and autonomization of military forces in the context of Revolution in Military Affairs. It examines and categorizes different approaches to concepts of AI, autonomy and RMA in the public debate and academic and military literature. It further explores potential impacts and challenges of AI and its weaponized subset - Autonomous Weapon Systems on civil-military relations, legal and ethical norms, arms control regime and general security domain. Building upon findings from previous chapters, AI

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Sütfeld, Leon René. "Advances in Vehicle Automation: Ethics and Technology." Doctoral thesis, 2021. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202109145339.

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With the arrival of automated vehicles (AVs) on our streets virtually around the corner, this thesis explores advances in automated driving technology with a focus on ethical decision making in dilemmatic traf- fic situations. In a total of five publications, we take a multi-facetted approach to analyse and address the core challenges related to auto- mated ethical decision making in AVs. In publications one through three, we conduct a series of immersive virtual reality studies to analyze human behavior in traffic dilemmas, explore mathematical approaches to model the decision making process,

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Lee, Keon Ju. "Computer evaluation of musical timbre transfer on drum tracks." Thesis, 2021. http://hdl.handle.net/1828/13221.

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Musical timbre transfer is the task of re-rendering the musical content of a given source using the rendering style of a target sound. The source keeps its musical content, e.g., pitch, microtiming, orchestration, and syncopation. I specifically focus on the task of transferring the style of percussive patterns extracted from polyphonic audio using a MelGAN-VC model [57] by training acoustic properties for each genre. Evaluating audio style transfer is challenging and typically requires user studies. An analytical methodology based on supervised and unsupervised learning including visualizatio

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