Relevant bibliographies by topics / Other Artificial Intelligence / Dissertations / Theses
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Dissertations / Theses on the topic 'Other Artificial Intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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1

Vaseigaran, Ajanth, and Gobi Sripathy. "Artificial Intelligence in Healthcare." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296643.

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Healthcare systems play a critical role in ensuring people's health. Establishing accurate diagnoses is a vital element of this process. As sources highlight misdiagnoses and missed diagnoses as a common issue, a solution must be sought. Diagnostic errors are common in the emergency departments, which has been recognized as a stressful work environment. Today's industries are forced to deal with rapidly changing technological advances that result in reshaped systems, products, and services. Artificial Intelligence (AI) is one of such technologies that can work as a solution to diagnosis issues
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Micael, Frideros. "Artificial Intelligence : Progress in business and society." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16483.

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This thesis investigates the progress of corporate implementations of Artificial Intelligence and discusses the effects that this might have on the corporate sector as well as some implications on a societal level. The analysis is based on data from surveys conducted by Accenture, Bain & Company, Capgemini Digital Transformation Institute, Deloitte, Gartner Inc., McKinsey Global Institute and MIT Sloan Management Review & Boston Consulting Group. Over the last 3 years the adoptions of Artificial Intelligence have increased 2-3 times and the trend is expected to continue in the coming y
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Ramsahai, Roland Ryan. "Causal inference with instruments and other supplementary variables." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:df2961da-0843-421f-8be4-66a92e6b0d13.

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Instrumental variables have been used for a long time in the econometrics literature for the identification of the causal effect of one random variable, B, on another, C, in the presence of unobserved confounders. In the classical continuous linear model, the causal effect can be point identified by studying the regression of C on A and B on A, where A is the instrument. An instrument is an instance of a supplementary variable which is not of interest in itself but aids identification of causal effects. The method of instrumental variables is extended here to generalised linear models, for whi
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Zhao, Haixiang. "Artificial Intelligence Models for Large Scale Buildings Energy Consumption Analysis." Phd thesis, Ecole Centrale Paris, 2011. http://tel.archives-ouvertes.fr/tel-00658767.

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The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, occupancy and their behaviors, the operation of sub-level components like Heating, Ventilation and Air-Conditioning (HVAC) system. This complex property makes the prediction, analysis, or fault detection/diagnosis of building energy consumption very difficult to accurately and quickly perform. This thesis mainly focuses on up-to-date artificial intelligence models with the applications to solve these problems. First, we review recently developed models
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Nordahl, Per. "Attitudes to decision-making under risk supported by artificial intelligence and humans : Perceived risk, reliability and acceptance." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-29384.

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The purpose of this investigation was to explore how decision situations with varying degrees of perceived risk affect people’s attitudes to human and artificial intelligence (AI) decision-making support. While previous studies have focused on the trust, fairness, reliability and fear of artificial intelligence, robots and algorithms in relation to decision support, the risk inherent in the decision situation has been largely ignored. An online survey with a mixed approach was conducted to investigate artificial intelligence and human decision support in risky situations. Two scenarios were pr
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Dittmar, George William. "Object Detection and Recognition in Natural Settings." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/926.

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Much research as of late has focused on biologically inspired vision models that are based on our understanding of how the visual cortex processes information. One prominent example of such a system is HMAX [17]. HMAX attempts to simulate the biological process for object recognition in cortex based on the model proposed by Hubel & Wiesel [10]. This thesis investigates the ability of an HMAX-like system (GLIMPSE [20]) to perform object-detection in cluttered natural scenes. I evaluate these results using the StreetScenes database from MIT [1, 8]. This thesis addresses three questions: (1) Can
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Liliequist, Erik. "Artificial Intelligence - Are there any social obstacles? : An empirical study of social obstacles." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229506.

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Artificial Intelligence is currently one of the most talked about topics with regard to technical development. The possibilities are enormous and it might revolutionize how we live our lives. There are talk of robots and AI removing the need for human workers. At the same time there are also those who view this as deeply troublesome. Either from an individual perspective, asking the question what we should do once we do not need to work more? Or from an existential perspective, raising issues of what responsibilities we have as humans and what it means to be human? This study does not aim to a
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Mendonca, Sean Christopher. "WRITING FOR EACH OTHER: DYNAMIC QUEST GENERATION USING IN SESSION PLAYER BEHAVIORS IN MMORPG." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2146.

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Role-playing games (RPGs) rely on interesting and varied experiences to maintain player attention. These experiences are often provided through quests, which give players tasks that are used to advance stories or events unfolding in the game. Traditional quests in video games require very specific conditions to be met, and for participating members to advance them by carrying out pre-defined actions. These types of quests are generated with perfect knowledge of the game world and are able to force desired behaviors out of the relevant non-player characters (NPCs). This becomes a major issue in
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McCullough, Kevin. "EXPLORING THE RELATIONSHIP OF THE CLOSENESS OF A GENETIC ALGORITHM’S CHROMOSOME ENCODING TO ITS PROBLEM SPACE." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/247.

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For historical reasons, implementers of genetic algorithms often use a haploid binary primitive type for chromosome encoding. I will demonstrate that one can reduce development effort and achieve higher fitness by designing a genetic algorithm with an encoding scheme that closely matches the problem space. I will show that implicit parallelism does not result in binary encoded chromosomes obtaining higher fitness scores than other encodings. I will also show that Hamming distances should be understood as part of the relationship between the closeness of an encoding to the problem instead of
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Ates, Mehmet. "Artificial intelligence in banking : A case study of the introduction of a virtual assistant into customer service." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-41144.

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The usage of artificial intelligence in banking is an important theme within entrepreneurial research. The purpose of the study was to analyse the motivations, challenges and opportunities for Swedish banking institutes to implement artificial intelligence based solutions into their customer service process. The research is based on a case study of the Swedish banking institute Swedbank AB, who introduced an AI based virtual assistant (Nina) to deal with customer requests. For the qualitative study, interviews with Swedish banking customer and experts were conducted. Further, to understand the
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Hiester, Luke. "File Fragment Classification Using Neural Networks with Lossless Representations." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/honors/454.

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This study explores the use of neural networks as universal models for classifying file fragments. This approach differs from previous work in its lossless feature representation, with fragments’ bits as direct input, and its use of feedforward, recurrent, and convolutional networks as classifiers, whereas previous work has only tested feedforward networks. Due to the study’s exploratory nature, the models were not directly evaluated in a practical setting; rather, easily reproducible experiments were performed to attempt to answer the initial question of whether this approach is worthwhile to
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Colon, Matthew J. "Controlling the Uncontrollable: A New Approach to Digital Storytelling using Autonomous Virtual Actors and Environmental Manipulation." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/261.

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In most video games today that focus on a single story, scripting languages are used for controlling the artificial intelligence of the virtual actors. While scripting is a great tool for reliably performing a story, it has many disadvantages; mainly, it is limited by only being able to respond to those situations that were explicitly declared, causing unreliable responses to unknown situations, and the believability of the virtual actor is hindered by possible conflicts between scripted actions and appropriate responses as perceived by the viewer. This paper presents a novel method of story
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Brandt, Mathias, and Stefan Stefansson. "The personality venture capitalists look for in an entrepreneur : An artificial intelligence approach to personality analysis." Thesis, KTH, Industriell Marknadsföring och Entreprenörskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230956.

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To date, the usual analysis of an entrepreneur personality is primarily a gut feeling of theventure capitalist and is hard to codify. This paper aims to explore in a qualitative way what itis about the characteristics and the personality of the entrepreneur that influences theinvestment made by the venture capitalists. These findings will then be used to discuss if anartificial intelligence application can be used to analyze the personality of entrepreneurs.The primary source of information for this paper is interviews with venture capitalists. Theauthors searched for similarities within the a
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Boccio, Jacob C. "Digital Integration." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6183.

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Artificial intelligence is an emerging technology; something far beyond smartphones, cloud integration, or surgical microchip implantation. Utilizing the work of Ray Kurzweil, Nick Bostrom, and Steven Shaviro, this thesis investigates technology and artificial intelligence through the lens of the cinema. It does this by mapping contemporary concepts and the imagined worlds in film as an intersection of reality and fiction that examines issues of individual identity and alienation. I look at a non-linear timeline of films involving machine advancement, machine intelligence, and stages of post-h
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Jaitha, Anant. "An Introduction to the Theory and Applications of Bayesian Networks." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1638.

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Bayesian networks are a means to study data. A Bayesian network gives structure to data by creating a graphical system to model the data. It then develops probability distributions over these variables. It explores variables in the problem space and examines the probability distributions related to those variables. It conducts statistical inference over those probability distributions to draw meaning from them. They are good means to explore a large set of data efficiently to make inferences. There are a number of real world applications that already exist and are being actively researched. Th
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Ling, TR. "An Incremental Learning Method for Data Mining from Large Databases." Thesis, Honours thesis, University of Tasmania, 2006. https://eprints.utas.edu.au/793/1/trling_Honours_Thesis.pdf.

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Knowledge Discovery techniques seek to find new information about a domain through a combination of existing domain knowledge and data examples from the domain. These techniques can either be manually performed by an expert, or automated using software algorithms (Machine Learning). However some domains, such as the clinical field of Lung Function testing, contain volumes of data too vast and detailed for manual analysis to be effective, and existing knowledge too complex for Machine Learning algorithms to be able to adequately discover relevant knowledge. In many cases this data is als
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Johnsson, Pucic Antonio, and Patrik Mott. "Artificiell intelligens påverkan : En omstrukturering av den digitala aspekten av byggbranschen." Thesis, Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413014.

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Digitalization is taking place at a high rate and is being implemented to a large extent in society, however, the construction industry is showing a digital degree of development that cannot be compared with other technically dependent industries. The construction industry generates large amounts of money and produces a long construction process that also produces high costs and has an impact on the environment. Therefore, there is a need to analyze and investigate how the digital aids that come with an increased degree of digitalization can make the construction industry more efficient. The e
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Johansson, Anja. "Modelling Expectations and Trust in Virtual Agents." Thesis, Linköping University, Department of Science and Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9704.

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<p>Computer graphics has long been the foremost area of advancement in both the gaming and the motion picture industry. Nowadays, as computer graphics is getting difficult to advance any further, other areas begin to interest the developers. One of these areas is artificial intelligence. The gaming industry has begun to create far more intelligent virtual characters that no longer are as predictable as they used to be. Mixing character animation with intelligent agents techniques results in a vastly more interesting experience for the gamer as well as for the developer.</p><p>This project focu
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Rönnqvist, Mats, and Magnus Johansson. "Artificiell Intelligens inom medicinsk bilddiagnostik : En allmän litteraturstudie." Thesis, Luleå tekniska universitet, Institutionen för hälsovetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72969.

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Bakgrund: Artificiell Intelligens (AI) kommer in i vårt samhälle och våra hem i allt större utsträckning. Inom sjukvården och radiologin kan AI utgöra ett hjälpmedel för både radiologer och röntgensjuksköterskor i deras profession. Forskning om AI fortsätter med oförminskad kraft för att finna allt bättre och mer funktionsdugliga algoritmer som kan anta den utmaningen. Syfte: Syftet med denna litteraturstudie är att sammanställa vid vilka modaliteter AI används som stöd. Metod: Studien utfördes som en allmän litteraturstudie vilket genererade femton artiklar som kvalitetsgranskades och kategor
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Ghayoumi, Mehdi. "FACIAL EXPRESSION ANALYSIS USING DEEP LEARNING WITH PARTIAL INTEGRATION TO OTHER MODALITIES TO DETECT EMOTION." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1501273062260458.

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Daghustani, Sara Hussain. "USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS)." CSUSB ScholarWorks, 2018. https://scholarworks.lib.csusb.edu/etd/620.

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This thesis uses autoencoders to explore the possibility of reducing the length of the Autism Diagnostic Observation Schedule (ADOS), which is a series of tests and observations used to diagnose autism spectrum disorders in children, adolescents, and adults of different developmental levels. The length of the ADOS, directly and indirectly, causes barriers to its access for many individuals, which means that individuals who need testing are unable to get it. Reducing the length of the ADOS without significantly sacrificing its accuracy would increase its accessibility. The autoencoders used in
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Heidlund, Marcus. "IT-konsulters positionering inom artificiell intelligens nu och i framtiden." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34693.

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Artificial intelligence is a concept based on making machines think. The disciplines that study this range from behavioral science to computer science and mathematics. The different approaches have contributed to categorize the field of artificial intelligence into different areas and the definitions of artificial intelligence are many. The aim of this study has been to investigate how IT consulting companies define and position themselves against artificial intelligence. To achieve this goal, literature on the subject has been studied to define artificial intelligence and to categorize the di
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Hammarström, Tobias. "Towards Explainable Decision-making Strategies of Deep Convolutional Neural Networks : An exploration into explainable AI and potential applications within cancer detection." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424779.

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The influence of Artificial Intelligence (AI) on society is increasing, with applications in highly sensitive and complicated areas. Examples include using Deep Convolutional Neural Networks within healthcare for diagnosing cancer. However, the inner workings of such models are often unknown, limiting the much-needed trust in the models. To combat this, Explainable AI (XAI) methods aim to provide explanations of the models' decision-making. Two such methods, Spectral Relevance Analysis (SpRAy) and Testing with Concept Activation Methods (TCAV), were evaluated on a deep learning model classifyi
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Ahmadi, Mostafa, and Afram Chamoun. "Artificiell intelligens som beslutsfattande medel vid ROT-arbeten : En kvalitativ intervjustudie för kartläggning av beslutfattningsprocessen." Thesis, Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447256.

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The construction industry stands for a third of the total carbon dioxide emissions globally , this includes the building process as well as the usage of the buildings. This in combination with the need for renovating older buildings in Sweden can lead to additional stress on the environment. This project aims to map out the decision-making process for property owners and consultants when working with renovation projects. The purpose of the study is to identify problematic areas that hinder efficient decision-making and sustainability efforts. With the problem areas mapped out, different soluti
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Handler, Abram. "An empirical study of semantic similarity in WordNet and Word2Vec." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1922.

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This thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends to uncover more of certain types of semantic relations than others -- with Word2Vec returning more hypernyms, synonomyns and hyponyms than hyponyms or holonyms. It also shows the probability that neighbors separated by a given cosine distance in Word2Vec are semantically related in WordNet. This result both adds to our understanding of the still-unknown Word2Vec and helps to benchmark new semantic tools built from word vectors.
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Brolin, John, and Malmborg Alexander Hörsne. "Positionering med hjälp av Accesspunkter i ett slutet WiFi-nätverk : En delstudie för Sjöfartshögskolan i Kalmar." Thesis, Linnéuniversitetet, Sjöfartshögskolan (SJÖ), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-103577.

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Artificiell intelligens syftar på en maskins förmåga att fatta egna beslut. Maskinen skall sedan utföra en handling baserat på beslutet, allt detta utan människans inblandning. Positionsnoggrannheten för fartyg är något som på senare tid ställs allt högre krav på, inte minst i offshoreindustrin. Med hjälp av ett Dynamic Positioning system kan högre noggrannhet uppnås. I detta projekt undersöks vilket system som är lämpligast att använda för ett positioneringssystem för en modell av skolfartyget Calmare Nyckel. Projektet utvärderar positionering med hjälp av fyra accesspunkter jämnt fördelat öv
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Lagerstam, Cristopher, and Fabian Lundgren. "Sjövägsregler och autonoma fartyg : Hur sjövägsreglerna skulle kunna fungera i möte med autonoma fartyg." Thesis, Linnéuniversitetet, Sjöfartshögskolan (SJÖ), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-90700.

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Det finns en utvecklingsriktning inom sjöfartsbranschen mot autonoma fartyg. Hur stor andel av alla fartyg som kommer vara autonoma vet man inte i dagsläget. Utgångspunkten för studien var att det kommer bli en blandning mellan autonoma och bemannade fartyg ute till havs. Studien ville ta reda på hur aktiva sjöbefäl skulle förhålla sig om de möter ett autonomt fartyg med utgångspunkt från dagens sjövägsregler. Vidare skulle studien undersöka om respondenterna ansåg att reglerna måste anpassas för autonoma fartyg. En kvalitativ metod valdes och genomfördes med standardiserade frågor. Slutsatsen
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Elvelind, Sofia. "Mönsterigenkänning och trendanalys i elnät : Prognostisering av elkvalitet samt effektuttag inom industrin." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159799.

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Intresset för elkvalitet har ökat då elektrisk utrustning, såsom omriktare, numera ger upphov till mer störningar. Elektrisk utrustning har också blivit mer känslig mot störningar samtidigt som industrier har blivit mindre toleranta mot produktionsstörningar. Traditionellt har felhantering i elnät skett när problemet redan uppstått och utgått från historiska data. Metrum har dock genom sin applikation PQ4Cast introducerat mönsterigenkänning för att prognosticera elkvalitetsparametrar samt aktiv effekt och i och med det bidra till ett proaktivt underhåll. Applikationen skapar en prognos för kom
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Bevans, Brandon. "Categorizing Blog Spam." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1623.

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The internet has matured into the focal point of our era. Its ecosystem is vast, complex, and in many regards unaccounted for. One of the most prevalent aspects of the internet is spam. Similar to the rest of the internet, spam has evolved from simply meaning ‘unwanted emails’ to a blanket term that encompasses any unsolicited or illegitimate content that appears in the wide range of media that exists on the internet. Many forms of spam permeate the internet, and spam architects continue to develop tools and methods to avoid detection. On the other side, cyber security engineers continue to de
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El-Gohary, Mahmoud Ahmed. "Joint Angle Tracking with Inertial Sensors." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/661.

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The need to characterize normal and pathological human movement has consistently driven researchers to develop new tracking devices and to improve movement analysis systems. Movement has traditionally been captured by either optical, magnetic, mechanical, structured light, or acoustic systems. All of these systems have inherent limitations. Optical systems are costly, require fixed cameras in a controlled environment, and suffer from problems of occlusion. Similarly, acoustic and structured light systems suffer from the occlusion problem. Magnetic and radio frequency systems suffer from electr
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Hård, af Segerstad Per. "Artificiella neurala nät för datorseende hos en luftmålsrobot." Thesis, Försvarshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-7530.

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Studiens syfte är att öka förståelsen för möjligheterna med modern artificiell intelligens (AI) vid militär användning genom att bidra med information om ny teknik. Moderna civila applikationer av datorseende som skapats genom användande av så kallade artificiella neurala nät visar resultat som närmar sig den mänskliga synens nivå när det gäller att känna igen olika saker i sin omgivning. Denna studie motiveras av dessa observationer inom området AI i förhållande till situationer i luftstrid då pilotens syn används för att känna igen flygplan innan det bekämpas. Exempelvis vid användande av hj
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Sierra, Brandon Luis. "COMPARING AND IMPROVING FACIAL RECOGNITION METHOD." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/575.

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Facial recognition is the process in which a sample face can be correctly identified by a machine amongst a group of different faces. With the never-ending need for improvement in the fields of security, surveillance, and identification, facial recognition is becoming increasingly important. Considering this importance, it is imperative that the correct faces are recognized and the error rate is as minimal as possible. Despite the wide variety of current methods for facial recognition, there is no clear cut best method. This project reviews and examines three different methods for facial recog
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Paclisan, Dana-Maria. "Optimisation par la modélisation de l'expérimentation vibratoire des systèmes pile à combustible pour le transport terrestre." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2013. http://tel.archives-ouvertes.fr/tel-00977688.

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Les recherches scientifiques sur la pile à combustible échangeuse de protons (PEMFC) ont, jusqu'il y a peu, concerné presque exclusivement les aspects fondamentaux liés à l'électrochimie, particulièrement la conception, le dimensionnement, les performances et le diagnostic. Récemment, les objectifs de durée de vie ont ouvert un nouvel axe de recherche sur le comportement mécanique de la PEMFC devant conduire à son optimisation statique et dynamique. Parallèlement les installations vibroclimatiques de la plateforme d'essais " Systèmes Pile à Combustible " de Belfort ont été développées. La thès
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Jakobsson, Oscar. "Förbättringsförslag för prognostisering inom detaljhandeln." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388249.

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Försäljningsprognoser inom organisationer kan vara en komplex process där allt ifrån mänskliga uppskattningar till avancerade högteknologiska system används som metod. Dagens ökade tillgång till datamängder, förbättrad datorkraft, bättre molntjänster, fler verktyg och ökat intresse har i kombination skapat bättre förutsättningar än förut att applicera artificiell intelligens (AI) på aktiviteter som tidigare varit människostyrda. Observationen gjordes inom ett svenskt detaljhandelsföretag att organisationen inte drog nytta av AI och dess teknik. Försäljningsprognostiseringen inom bemanningsproc
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Cooper, Wyatt. "Discovering Hidden Networks Using Topic Modeling." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1659.

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This paper explores topic modeling via unsupervised non-negative matrix factorization. This technique is used on a variety of sources in order to extract salient topics. From these topics, hidden entity networks are discovered and visualized in a graph representation. In addition, other visualization techniques such as examining the time series of a topic and examining the top words of a topic are used for evaluation and analysis. There is a large software component to this project, and so this paper will also focus on the design decisions that were made in order to make the program developed
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Zanlongo, Sebastian A. "Multi-Robot Coordination and Scheduling for Deactivation & Decommissioning." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3897.

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Large quantities of high-level radioactive waste were generated during WWII. This waste is being stored in facilities such as double-shell tanks in Washington, and the Waste Isolation Pilot Plant in New Mexico. Due to the dangerous nature of radioactive waste, these facilities must undergo periodic inspections to ensure that leaks are detected quickly. In this work, we provide a set of methodologies to aid in the monitoring and inspection of these hazardous facilities. This allows inspection of dangerous regions without a human operator, and for the inspection of locations where a person would
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Anderson, Jason Lionel. "Autonomous Satellite Operations For CubeSat Satellites." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/256.

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In the world of educational satellites, student teams manually conduct operations daily, sending commands and collecting downlinked data. Educational satellites typically travel in a Low Earth Orbit allowing line of sight communication for approximately thirty minutes each day. This is manageable for student teams as the required manpower is minimal. The international Global Educational Network for Satellite Operations (GENSO), however, promises satellite contact upwards of sixteen hours per day by connecting earth stations all over the world through the Internet. This dramatic increase in
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Josimovic, Aleksandra. "AI as a Radical or Incremental Technology Tool Innovation." Thesis, KTH, Industriell Management, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230603.

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As researchers found that throughout the history a common challenge for companies across different industries, when it comes to leveraging and capturing value from a technology innovation is strongly influenced by the company’s dominant business model, an established framework through which assessment takes place. The overall purpose of this study is to provide a deeper understanding of the role that company's dominant business model has on the assessment of the impact that new technology innovation, in this case, AI, will have on the company and the market on which company operates. This thes
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Gaumer, Madelyn. "Using Neural Networks to Classify Discrete Circular Probability Distributions." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/hmc_theses/226.

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Given the rise in the application of neural networks to all sorts of interesting problems, it seems natural to apply them to statistical tests. This senior thesis studies whether neural networks built to classify discrete circular probability distributions can outperform a class of well-known statistical tests for uniformity for discrete circular data that includes the Rayleigh Test1, the Watson Test2, and the Ajne Test3. Each neural network used is relatively small with no more than 3 layers: an input layer taking in discrete data sets on a circle, a hidden layer, and an output layer output
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Eisenberg, Joshua Daniel. "Automatic Extraction of Narrative Structure from Long Form Text." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3912.

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Automatic understanding of stories is a long-time goal of artificial intelligence and natural language processing research communities. Stories literally explain the human experience. Understanding our stories promotes the understanding of both individuals and groups of people; various cultures, societies, families, organizations, governments, and corporations, to name a few. People use stories to share information. Stories are told –by narrators– in linguistic bundles of words called narratives. My work has given computers awareness of narrative structure. Specifically, where are the boundar
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Leoni, Cristian. "Interpretation of Dimensionality Reduction with Supervised Proxies of User-defined Labels." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105622.

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Research on Machine learning (ML) explainability has received a lot of focus in recent times. The interest, however, mostly focused on supervised models, while other ML fields have not had the same level of attention. Despite its usefulness in a variety of different fields, unsupervised learning explainability is still an open issue. In this paper, we present a Visual Analytics framework based on eXplainable AI (XAI) methods to support the interpretation of Dimensionality reduction methods. The framework provides the user with an interactive and iterative process to investigate and explain use
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Haen, Christophe. "Phronesis, a diagnosis and recovery tool for system administrators." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00950700.

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The LHCb online system relies on a large and heterogeneous IT infrastructure made from thousands of servers on which many different applications are running. They run a great variety of tasks : critical ones such as data taking and secondary ones like web servers. The administration of such a system and making sure it is working properly represents a very important workload for the small expert-operator team. Research has been performed to try to automatize (some) system administration tasks, starting in 2001 when IBM defined the so-called "self objectives" supposed to lead to "autonomic compu
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Melki, Gabriella A. "Novel Support Vector Machines for Diverse Learning Paradigms." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5630.

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This dissertation introduces novel support vector machines (SVM) for the following traditional and non-traditional learning paradigms: Online classification, Multi-Target Regression, Multiple-Instance classification, and Data Stream classification. Three multi-target support vector regression (SVR) models are first presented. The first involves building independent, single-target SVR models for each target. The second builds an ensemble of randomly chained models using the first single-target method as a base model. The third calculates the targets' correlations and forms a maximum correlation
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Chekol, Melisachew Wudage. "Analyse Statique de Requête pour le Web Sémantique." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00834448.

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L'inclusion de requête est un problème bien étudié durant plusieurs décen- nies de recherche. En règle générale, il est défini comme le problème de déterminer si le résultat d'une requête est inclus dans le résultat d'une autre requête pour tout ensem- ble de données. Elle a des applications importantes dans l'optimisation des requêtes et la vérification de bases de connaissances. L'objectif principal de cette thèse est de fournir des procédures correctes et complètes pour déterminer l'inclusion des requêtes SPARQL en vertu d'axiomes exprimés en logiques de description.
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Frideros, Micael. "Artificiell intelligens som beslutsmetod." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-23899.

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Detta arbete behandlar artificiell intelligens som beslutsmetod. Efter inledande diskussioner om de övergripande skillnaderna mellan hjärnans och datorns funktionssätt, olika utvecklingsinriktningar av artificiell intelligens samt olika metoder för att skapa artificiell intelligens identifieras strategier för hur artificiell intelligens kan användas som beslutsmetod beroende på faktorer som transparens, effektivitet samt mängden tillgänglig testdata. Exempelvis identifieras några typiska beslutssituationer där det kan antas att automatiserat beslutsfattande baserat på artificiell intelligens h
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Lundström, Emelie, and Martyna Nasilowska. "Revisionens digitalisering : en kvalitativ studie om hur digitaliseringen har påverkat revisionsprocessen och revisorsrollen." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21093.

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Dagens studier visar på att revisionsbranschen förändras i takt med digitaliseringens framfart, vilket gör det därför omöjligt för revisionsbyråer att välja bort digitaliseringen. Tidigare forskning påvisar att revisionsbranschen är en av de branscher som blivit mest påverkad av digitaliseringens framfart, eftersom flera arbetsuppgifter har ersatts av den nya tekniken. Syftet med studien har varit att undersöka hur revisionsprocessen samt revisorsrollen har påverkats av den allt mer digitaliserade arbetsmiljön. För att uppnå studiens syfte har en kvalitativ metod använts dä
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Alklid, Jonathan. "Time to Strike: Intelligent Detection of Receptive Clients : Predicting a Contractual Expiration using Time Series Forecasting." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106217.

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In recent years with the advances in Machine Learning and Artificial Intelligence, the demand for ever smarter automation solutions could seem insatiable. One such demand was identified by Fortnox AB, but undoubtedly shared by many other industries dealing with contractual services, who were looking for an intelligent solution capable of predicting the expiration date of a contractual period. As there was no clear evidence suggesting that Machine Learning models were capable of learning the patterns necessary to predict a contract's expiration, it was deemed desirable to determine subject feas
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Kvarnström, Jonas. "TALplanner and other extensions to Temporal Action Logic /." Linköping : Dept. of Computer and Information Science, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/tek937s.pdf.

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Anderson, James Howard. "A Spatially Explicit Agent Based Model of Muscovy Duck Home Range Behavior." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/3950.

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ABSTRACT Research in GIScience has identified agent-based simulation methodologies as effective in the study of complex adaptive spatial systems (CASS). CASS are characterized by the emergent nature of their spatial expressions and by the changing relationships between their constituent variables and how those variables act on the system's spatial expression over time. Here, emergence refers to a CASS property where small-scale, individual action results in macroscopic or system-level patterns over time. This research develops and executes a spatially-explicit agent based model of Muscovy Duck
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Lienemann, Matthew A. "Automated Multi-Modal Search and Rescue using Boosted Histogram of Oriented Gradients." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1507.

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Unmanned Aerial Vehicles (UAVs) provides a platform for many automated tasks and with an ever increasing advances in computing, these tasks can be more complex. The use of UAVs is expanded in this thesis with the goal of Search and Rescue (SAR), where a UAV can assist fast responders to search for a lost person and relay possible search areas back to SAR teams. To identify a person from an aerial perspective, low-level Histogram of Oriented Gradients (HOG) feature descriptors are used over a segmented region, provided from thermal data, to increase classification speed. This thesis also introd
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