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Dissertations / Theses on the topic 'Artificial Intelligence in Physics'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Peurifoy, John Edward. "The physics of artificial intelligence." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122844.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2018<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 83-87).<br>In this thesis, I explore both what Physics can lend to the world of artificial intelligence, and how artificial intelligence can enhance the world of physics. In the first chapter I propose a method to use artificial neural networks to approximate light scattering by multilayer nanoparticles. This neural network model is experimentally shown to describe the system well, and is then further used to solve the inverse d

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2

Leach, Andrew Richard. "The application of artificial intelligence techniques in conformational analysis." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314898.

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Bains, Sunny Rukhsana Elynn. "Physical computation and embodied artificial intelligence." Thesis, Open University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409862.

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4

Stoyko, Darryl Keith. "Using the singularity frequencies of guidedwaves to obtain a pipe's properties and detect and size notches." Thesis, University of Manitoba (Canada), 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3582897.

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<p> A survey of relevant literature on the topic of wave propagation and scattering in pipes is given first. This review is followed by a theoretical framework which is pertinent to wave propagation in homogeneous, isotropic, pipes. Emphasis is placed on approximate solutions stemming from a computer based, <u>S</u>emi-<u>A</u>nalytical <u> F</u>inite <u>E</u>lement (SAFE) formulation. A modal analysis of the dynamic response of homogeneous, isotropic pipes, when subjected to a transient ultrasonic excitation, demonstrates that dominant features, i.e., singularities in an unblemished pipe&rsqu

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Dye, Brian Christopher. "Identifying Strombolian Eruptions through Cross-Correlation of Seismic Data and Machine Learning of Infrared, Lava-Lake Images on Mount Erebus, Antarctica." Thesis, University of Louisiana at Lafayette, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10815582.

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<p>Mount Erebus, Antarctica, is a volcano with frequent lava-lake eruptions known as strombolian eruptions. The larger of these eruptions create strong seismic waves and have a characteristic seismic signature that can be analyzed through three-component cross-correlation to distinguish smaller strombolian eruptions from the background noise of the volcano. The addition of an infrared camera on the rim of Mount Erebus allows for the confirmation of strombolian eruptions as opposed to unrelated seismic activity. This research finds that eruption events can also be detected categorizing the imag

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Brown, Stephen F. (Stephen Francis). "The Use of Learning Theory in the Application of Artificial Intelligence to Computer-Assisted Instruction of Physics." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc330775/.

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It was the purpose of this research, to develop and test an artificially intelligent, learner-based, computer-assisted physics tutor. The resulting expert system is named ARPHY, an acronym for ARtificially intelligent PHYsics tutor. The research was conducted in two phases. In the first phase of the research, the system was constructed using Ausubel's advance organizer as a guiding learning theory. The content of accelerated motion was encoded into this organizer after sub-classification according to the learning types identified by Gagnds. The measurement of the student's level of learning wa

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Morgan, A. J. "The qualitative behaviour of dynamic physical systems." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233967.

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Qualitative representations concentrate on general behaviours rather than numerical accuracy. This thesis introduces methods for producing qualitative descriptions of dynamically changing quantities. A distinction is made between scalar and vector representations of quantities, and several qualitative vector operations are defined, including a qualitative calculus. These operations correspond closely to their normal numerical counterparts. A systematic approach to a model-based method is presented for the analysis of physical systems, which allows the derivation of behaviour for a range of ope

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Palitawanont, Nanta. "An Investigation into the Effectiveness of Intelligent Tutoring on Learning of College Level Statistics." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc331166/.

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The present research incorporated the content of basic statistics into the Artificial Intelligence Physics Tutor (ARPHY), which was used as the expert system shell, and investigated the effects of the Artificial Intelligent Statistics Tutor (ARSTAT) as a supplement to learning statistics at the college level. Two classes of an introductory educational statistics course in the Department of Educational Foundations, University of North Texas, were used in the study. The daytime class was used as the experimental group and the evening class was used as the control group. The experimental group's

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Lagula, Daniel, and Filip Karlsson. "Comparison of Two Different Methods of Generating Physics-Based Character Animation using Reinforcement Learning." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20227.

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In the area of Physics-Based Animation using Reinforcement Learning (RL), multiple games and virtual simulations have had it as an objective throughout the years because of the added realism it brings to motions of characters. It also brings a realistic and practical interaction between the characters and their environment. By using a physically simulated ragdoll and Reinforcement Learning, the ragdoll can learn how to walk and balance. This has the potential of bringing realistic and interactive real-time animations, of normally rigid animations, to life. No longer do animators have to animat

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Saunders, Brandon Scot. "Observational Intelligence: An Overview of Computational Actual Entities and their Use as Agents of Artificial Intelligence." VCU Scholars Compass, 2007. http://scholarscompass.vcu.edu/etd/1235.

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This thesis' focus is on the use of Alfred North Whitehead's concept of Actual Entities as a computational tool for computer science and the introduction of a novel usage of Actual Entities as learning agents. Actual Entities are vector based agents that interact within their environment through a process called prehension. It is the combined effect of multiple Actual Entities working within a Colony of Prehending Entities that produces emergent, intelligent behavior. It is not always the case that prehension functions for desired behavior are known beforehand and frequently the functions a

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Percebois, Gaëtan. "Quantum transport in two-dimensional systems : artificial intelligence applied to material science." Electronic Thesis or Diss., Strasbourg, 2023. http://www.theses.fr/2023STRAE033.

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Les hétérostructures représentent l'un des dispositifs les plus largement utilisés pour générer un gaz d'électrons bidimensionnel (2DEG). Cependant, les propriétés exactes de transport des électrons au sein de tels dispositifs ne sont pas complètement contrôlables et prévisibles. Cela est principalement dû à la présence de dopants ionisés, nécessaires à la création du gaz d’électrons, qui impactent le mouvement des électrons par le biais d'interactions coulombiennes, entraînant ainsi un potentiel de désordre. Dans cette étude, nous introduisons une méthode pour déterminer ce désordre en utilis

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Amarasinghe, Kasun. "Explainable Neural Networks based Anomaly Detection for Cyber-Physical Systems." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6091.

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Cyber-Physical Systems (CPSs) are the core of modern critical infrastructure (e.g. power-grids) and securing them is of paramount importance. Anomaly detection in data is crucial for CPS security. While Artificial Neural Networks (ANNs) are strong candidates for the task, they are seldom deployed in safety-critical domains due to the perception that ANNs are black-boxes. Therefore, to leverage ANNs in CPSs, cracking open the black box through explanation is essential. The main objective of this dissertation is developing explainable ANN-based Anomaly Detection Systems for Cyber-Physical System

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Lo, Kin-keung. "An investigation of computer assisted testing for civil engineering students in a Hong Kong technical institute." Click to view the E-thesis via HKUTO, 1988. http://sunzi.lib.hku.hk/HKUTO/record/B38627000.

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Bylander, Thomas C. "Consolidation : a method for reasoning about the behavior of devices /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266691095527.

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Liu, Hongqin 1956. "Simulation of a plasma particle generator." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31571.

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The goal of this research was to simulate the nucleation and particle growth in a tubular plasma particle generator and investigate the effects of various entrance and boundary conditions on the particle size distribution and production rate.<br>The fluid flow is laminar and its domain is two-dimensional axi-symmetric and a radial quench gas injection is introduced. The method of moments was used to model the particle generation and growth starting with the dynamic aerosol equation and the assumption of a log-normal distribution function. The governing equations are solved numerically and the

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Quek, Hiok Chai. "The application of artificial intelligence techniques to the integrated control of complex dynamic physical systems." Thesis, Heriot-Watt University, 1990. http://hdl.handle.net/10399/924.

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Grose, Mitchell. "Forecasting Atmospheric Turbulence Conditions From Prior Environmental Parameters Using Artificial Neural Networks: An Ensemble Study." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619632748733788.

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Lechevallier, Antoine. "Physics Informed Deep Learning : Applications to well opening and closing events." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS062.

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La réduction des émissions de CO2 dans l'atmosphère est primordiale afin d'accomplir la transition écologique. Le stockage géologique du CO2 est un instrument essentiel parmi les stratégies de capture et de stockage du CO2. Les simulations numériques fournissent la solution aux équations de l'écoulement multiphasique qui modélisent le comportement du site d'injection de CO2. Elles constituent un outil essentiel pour décider de l'exploitation ou non d'un site potentiel de stockage de CO2. Cependant, les simulations numériques d'écoulement en milieu poreux sont exigeantes en termes de calcul : i

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Dougherty, Andrew W. "Intelligent Design of Metal Oxide Gas Sensor Arrays Using Reciprocal Kernel Support Vector Regression." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285045610.

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Squadrani, Lorenzo. "Deep neural networks and thermodynamics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Deep learning is the most effective and used approach to artificial intelligence, and yet it is far from being properly understood. The understanding of it is the way to go to further improve its effectiveness and in the best case to gain some understanding of the "natural" intelligence. We attempt a step in this direction with the aim of physics. We describe a convolutional neural network for image classification (trained on CIFAR-10) within the descriptive framework of Thermodynamics. In particular we define and study the temperature of each component of the network. Our results provides a n

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Brook, Sapoty, and mikewood@deakin edu au. "A physical theory of organisation and consequent neural model of spatio-temporal pattern acquisition." Deakin University. School of Architecture and Engineering, 1987. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050825.121850.

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A neurone model (the FORMON) is proposed which provides a mathematical explanation for a range of psychological phenomena and has potential in Artificial Intelligence applications. A general definition of organisation in terms of entropy and information is formulated. The concept of microcodes is introduced to describe the physical nature of organisation. Spatio-temporal pattern acquisition and processing functions attributable to individual neurones are reviewed. The criterion for self-organisation in a neurone is determined as the maximisation of mutual organisation. A feedback control syste

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Dold, Dominik [Verfasser], and Andreas [Akademischer Betreuer] Mielke. "Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates / Dominik Dold ; Betreuer: Andreas Mielke." Heidelberg : Universitätsbibliothek Heidelberg, 2020. http://d-nb.info/1211090531/34.

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Xia, Yao. "Artificial intelligence-assisted prediction, feature selection, and multi-omics integration in exploring the interaction between IgG N-glycome and transcriptome and constructing the ageing clock." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2646.

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Case, Denise Marie. "Engineering complex systems with multigroup agents." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/19045.

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Doctor of Philosophy<br>Computing and Information Sciences<br>Scott A. DeLoach<br>As sensor prices drop and computing devices continue to become more compact and powerful, computing capabilities are being embedded throughout our physical environment. Connecting these devices in cyber-physical systems (CPS) enables applications with significant societal impact and economic benefit. However, engineering CPS poses modeling, architecture, and engineering challenges and, to fully realize the desired benefits, many outstanding challenges must be addressed. For the cyber parts of CPS, two decades of

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Juswardy, Budi. "Integrated broadband microphotonic beamformer for adaptive nulling in smart antennas." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/1843.

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The tremendous growth of the wireless communications sector and the problem of limited available spectrum that can be used to cater the wireless demand have spurred the need for better data transmission capacity and signal rates for wireless communication systems. Smart antennas are the promising technology for improving the wireless communication systems performance. Smart antennas are system that consist of antenna arrays capable of adaptively adjusting the beam pattern, thereby enhancing the desired signals (beam steering) and suppressing the interference signals (null steering), which is a

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Mahmoodi, Korosh. "Emergence of Cooperation and Homeodynamics as a Result of Self Organized Temporal Criticality: From Biology to Physics." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248467/.

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This dissertation is an attempt at establishing a bridge between biology and physics leading naturally from the field of phase transitions in physics to the cooperative nature of living systems. We show that this aim can be realized by supplementing the current field of evolutionary game theory with a new form of self-organized temporal criticality. In the case of ordinary criticality, the units of a system choosing either cooperation or defection under the influence of the choices done by their nearest neighbors, undergo a significant change of behavior when the intensity of social influence

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El, Hariri Mohamad. "Secure Control and Operation of Energy Cyber-Physical Systems Through Intelligent Agents." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3854.

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The operation of the smart grid is expected to be heavily reliant on microprocessor-based control. Thus, there is a strong need for interoperability standards to address the heterogeneous nature of the data in the smart grid. In this research, we analyzed in detail the security threats of the Generic Object Oriented Substation Events (GOOSE) and Sampled Measured Values (SMV) protocol mappings of the IEC 61850 data modeling standard, which is the most widely industry-accepted standard for power system automation and control. We found that there is a strong need for security solutions that are c

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Abbott-McCune, Donald Samuel. "Repurposing a Roomba: Evaluating and training behavior in a simple agent." VCU Scholars Compass, 2007. http://scholarscompass.vcu.edu/etd/1077.

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Recent attempts to reprogram a Roomba to be used as a simple agent have led to interesting behavior. Observation has shown that the behavior of the Roomba is not only dependent on the precepts of the Roomba, but also relies heavily on the uncontrollable environmental conditions that the Roomba is placed in. Ultimately this makes the Roomba a great platform to test and teach aspects of artificial intelligence. This paper will show how most of the tested environmental conditions are mitigated by a learning agent that will adjust behavior dependent on the precepts that are received.

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Ajayi, Idowu Iseoluwa. "Enhanced Physical Layer Security through Frequency and Spatial Diversity." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS227.

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La sécurité de la couche physique (PLS) est un paradigme émergent qui se concentre sur l'utilisation des propriétés de la communication sans fil, telles que le bruit, l'évanouissement, la dispersion, l'interférence, la diversité, etc. pour assurer la sécurité entre les utilisateurs légitimes en présence d'un espion. Comme le PLS utilise des techniques de traitement du signal et de codage, il intervient au niveau de la couche physique et peut donc garantir le secret quelle que soit la puissance de calcul de l'espion. Cela en fait une approche intéressante pour compléter la cryptographie traditi

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Cambe, Jordan. "Understanding the complex dynamics of social systems with diverse formal tools." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEN043/document.

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Au cours des deux dernières décennies les objets connectés ont révolutionné la traçabilité des phénomènes sociaux. Les trajectoires sociales laissent aujourd'hui des traces numériques, qui peuvent être analysées pour obtenir une compréhension plus profonde des comportements collectifs. L'essor de grands réseaux sociaux (comme Facebook, Twitter et plus généralement les réseaux de communication mobile) et d'infrastructures connectées (comme les réseaux de transports publiques et les plate-formes en ligne géolocalisées) ont permis la constitution de grands jeux de données temporelles. Ces nouveau

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Lo, Kin-keung, and 羅建強. "An investigation of computer assisted testing for civil engineering students in a Hong Kong technical institute." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B38627000.

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Künkel, Rebecca, and Jens Lomander. "How can digitalization and AI be usedto increase the usage of medicallyprescribed physical activity? : A qualitative and quantitative study on thedigitalization of physical activity on prescription." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17449.

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Medically prescribed physical activity (PaP) is a relatively unknown term, howeverit is nothing new. Being used as an alternative to traditional treatment it aimsto reduce the use of chemical medication where possible. This method has provensuccessful on diseases such as high blood pressure, heart attacks, diabetes, depressionetc. Issues with this treatment stems from the fact that as it is today, it is moreinconvenient and harder to follow up with than the alternatives.In this study we have examined an alternative method to treat people with PaP bydeveloping an AI coach for a PaP-focused smar

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Parker, Lonnie Thomas. "Science-centric sampling approaches of geo-physical environments for realistic robot navigation." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44813.

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The objective of this research effort is to provide a methodology for assessing the effectiveness of sampling techniques used to gather different types of geo-physical information by a robotic agent. We focus on assessing how well unique real-time sampling strategies acquire information that is, otherwise, too dangerous or costly to collect by human scientists. Traditional sampling strategies and informed search tech- niques provide the underlying structure for a navigating robotic surveyor whose goal is to collect samples that yield an accurate representation of the measured phenomena under r

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Ibrahim, Hussain. "Detection of online radicalisation in the Maldivian language, Dhivehi." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2710.

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Early detection of online radical content is important for intelligence services to combat radicalisation and terrorism. This research was motivated by the lack of language tools in the detection of radicalisation in Dhivehi. The radical text data that is populated online in Dhivehi is increasing and taxing the capabilities of human open-source intelligence operatives. This research answered the question, “What methods are most suited for the detection of online radicalisation in the Maldivian language, Dhivehi?”. At the time of this research, there were no known language-based technologies or

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Decavèle, Maxens César. "Caractérisation de la réponse émotionnelle à la dyspnée : des corrélats observationnels physio-cliniques à la reconnaissance des expressions faciales." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS026.

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Bien pire que la douleur, la dyspnée chez les patients de réanimation placés sous ventilation mécanique est à l'origine d'une souffrance majeure, d'une sensation terrifiante d'asphyxier (mourir asphyxié) sans pouvoir ni la contrôler (powerlessness), ni lui échapper, ni même la signaler aux soignants (helplessness). Elle participe à la survenue du syndrome de stress post-traumatique des patients. L'absence d'attention portée par les soignants à la dyspnée des patients et les difficultés des patients à communiquer avec les soignants leurs symptômes sont à l'origine d'un enjeu de soins crucial, c

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Gongbo, Liang. "Pedestrian Detection Using Basic Polyline: A Geometric Framework for Pedestrian Detection." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1582.

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Pedestrian detection has been an active research area for computer vision in recently years. It has many applications that could improve our lives, such as video surveillance security, auto-driving assistance systems, etc. The approaches of pedestrian detection could be roughly categorized into two categories, shape-based approaches and appearance-based approaches. In the literature, most of approaches are appearance-based. Shape-based approaches are usually integrated with an appearance-based approach to speed up a detection process. In this thesis, I propose a shape-based pedestrian detectio

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Absetz, Erica. "Actual Entities: A Control Method for Unmanned Aerial Vehicles." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3094.

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The focus of this thesis is on Actual Entities, a concept created by the philosopher Alfred North Whitehead, and how the concept can be applied to Unmanned Aerial Vehicles as a behavioral control method. Actual Entities are vector based, atomic units that use a method called prehension to observe their environment and react with various actions. When combining multiple Actual Entities a Colony of Prehending Entities is created; when observing their prehensions an intelligent behavior emerges. By applying the characteristics of Actual Entities to Unmanned Aerial Vehicles, specifically in a s

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Shapovalenko, A. "Artificial intelligence." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33830.

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Technology of artificial intelligence will soon be able to help ensure the safety of your family, protecting it from the threat of international and domestic burglaries. In the USA the Department of Security also implements special software in its monitoring system, which scans phone calls and other messages. These programs can rapidly process large volumes of data and are even able to distinguish between a normal conversation from a potential threat. The old security system simply relied on sensors that reacted to a movement. Modern systems are directly related to artificial intelligence, whi

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Башлак, Ірина Анатоліївна, Ирина Анатольевна Башлак, Iryna Anatoliivna Bashlak, and I. Kurinnyy. "Artificial intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13517.

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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and M. Chernyakova. "Artificial intelligence." Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/16890.

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Bekeniova. "ARTIFICIAL INTELLIGENCE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33666.

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LeBien, John. "Automated Species Classification Methods for Passive Acoustic Monitoring of Beaked Whales." ScholarWorks@UNO, 2017. https://scholarworks.uno.edu/td/2417.

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The Littoral Acoustic Demonstration Center has collected passive acoustic monitoring data in the northern Gulf of Mexico since 2001. Recordings were made in 2007 near the Deepwater Horizon oil spill that provide a baseline for an extensive study of regional marine mammal populations in response to the disaster. Animal density estimates can be derived from detections of echolocation signals in the acoustic data. Beaked whales are of particular interest as they remain one of the least understood groups of marine mammals, and relatively few abundance estimates exist. Efficient methods for classif

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James, Brian L. "Predicting Human Behavior in Repeated Games with Attitude Vectors." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9239.

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As Artificial Intelligence systems are used by human users at an increasing frequency, the need for such systems to understand and predict human behavior likewise increases. In my work, I have considered how to predict human behavior in repeated games. These repeated games can be applied as a foundation to many situations where a person may interact with an AI, In an attempt to create such a foundation, I have built a system using Attitude Vectors used in automata to predict actions based on prior actions and communications. These Attitude Vector Automata (AVA) can transform information from a

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Hur, Muhammad Ali. "A framework to support autonomous construction of knowledge graphs from unstructured text." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2801.

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This thesis delves into the automated construction of Knowledge Graphs (KGs) from unstructured text data, aiming to overcome the challenges inherent in extracting and representing contextual information with the necessary semantic depth and breadth. While various approaches exist for extracting semantic relations such as temporal, causal, and rhetorical from unstructured text, they often focus on one type of relation at the expense of others, resulting in a fragmented contextual representation. Consequently, these approaches fail to produce KGs with rich semantic information, hindering the dev

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Parker, Christopher Alonzo. "K x N Trust-Based Agent Reputation." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/702.

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In this research, a multi-agent system called KMAS is presented that models an environment of intelligent, autonomous, rational, and adaptive agents that reason about trust, and adapt trust based on experience. Agents reason and adapt using a modification of the k-Nearest Neighbor algorithm called (k X n) Nearest Neighbor where k neighbors recommend reputation values for trust during each of n interactions. Reputation allows a single agent to receive recommendations about the trustworthiness of others. One goal is to present a recommendation model of trust that outperforms MAS architectures

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Yakushchenko, I. V., and L. M. Chuchilina. "The artificial intelligence." Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/16003.

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Malmborn, Albin, and Linus Sjöberg. "Implementing Artificial intelligence." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tol

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Courtney, Joshua. "Using Ant Colonization Optimization to Control Difficulty in Video Game AI." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/honors/147.

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Ant colony optimization (ACO) is an algorithm which simulates ant foraging behavior. When ants search for food they leave pheromone trails to tell other ants which paths to take to find food. ACO has been adapted to many different problems in computer science: mainly variations on shortest path algorithms for graphs and networks. ACO can be adapted to work as a form of communication between separate agents in a video game AI. By controlling the effectiveness of this communication, the difficulty of the game should be able to be controlled. Experimentation has shown that ACO works effectively a

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Kumar, Sharad Kumar. "Analysis of Machine Learning Modeling Attacks on Ring Oscillator based Hardware Security." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541759752027838.

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Bonnell, Jeffrey A. "Implementation of a New Sigmoid Function in Backpropagation Neural Networks." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etd/1342.

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This thesis presents the use of a new sigmoid activation function in backpropagation artificial neural networks (ANNs). ANNs using conventional activation functions may generalize poorly when trained on a set which includes quirky, mislabeled, unbalanced, or otherwise complicated data. This new activation function is an attempt to improve generalization and reduce overtraining on mislabeled or irrelevant data by restricting training when inputs to the hidden neurons are sufficiently small. This activation function includes a flattened, low-training region which grows or shrinks during back-pro

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