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Rozprawy doktorskie na temat „Artificial Intelligence in Civil Engineering”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Gkiokas, Alexandros. "Imitation learning in artificial intelligence." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/94683/.

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Acquiring new knowledge often requires an agent or a system to explore, search and discover. Yet us humans build upon the knowledge of our forefathers, as did they, using previous knowledge; there does exist a mechanism which allows transference of knowledge without searching, exploration or discovery. That mechanism is known as imitation and it exists everywhere in nature; in animals, insects, primates, and humans. Enabling artificial, cognitive and software agents to learn by imitation could potentially be crucial to the emergence of the field of autonomous systems, robotics, cyber-physical

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Gwyn, Bryan James. "The use of artificial intelligence techniques for power analysis." Thesis, City University London, 1999. http://openaccess.city.ac.uk/8281/.

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This thesis reports the research carried out into the use of Artificial Intelligence techniques for Power System Analysis. A number of aspects of Power System analysis and its management are investigated and the application of Artificial Intelligence techniques is researched. The use of software tools for checking the application of power system protection systems particularly for complex circuit arrangements was investigated. It is shown that the software provides a more accurate and efficient way of carrying out these investigations. The National Grid Company's (plc, UK) use of software tool

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3

Nijem, Abdelaziz. "ARTIFICIAL INTELLIGENCE NEURAL NETWORK: COMPRESSIVE STRENGTH PREDICTION OF RECYCLED AGGREGATE CONCRETE SAMPLES." Cleveland State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu161022170304632.

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Chen, Su Liang. "Development of automated bearing condition monitoring using artificial intelligence techniques." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/195557/.

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A recent series of tapered roller bearing tests have been conducted at the University of Southampton to evaluate the effectiveness of using multiple sensing technologies to detect incipient faults. The test rig was instrumented with on-line sensors including vibration, temperature and electrostatic wear and oil-line debris sensors. Off-line techniques were also used such as debris analysis and bearing surface examination. The electrostatic sensors, in particular, have the potential to detect early decay of tribological contacts within rolling element bearings. These sensors have the unique abi

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5

Liu, Zihuai. "Artificial intelligence infrastructure into material attributes insights." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126909.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 57-60).<br>The development of a biopharmaceutical manufacturing process involves an assessment of all possible sources of variation throughout each of the uni

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6

Calado, Joao Manuel Ferreira. "On-line fault diagnosis of industrial processes based on artificial intelligence techniques." Thesis, City University London, 1996. http://openaccess.city.ac.uk/7773/.

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In this research the application of artificial intelligence techniques for on-line process control and fault detection and diagnosis are investigated. The majority of the research is on using artificial intelligence techniques in on-line fault detection and diagnosis of industrial processes. Several on-line approaches, including a rule based controller and several fault detection and diagnosis systems, have been developed and implemented and are described throughout this thesis. The research results obtained demonstrate that rule based controllers can be an alternative in situations where conv

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7

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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Uraz, Irtek. "Optimization Of Well Placement In Complex Carbonate Reservoirs Using Artificial Intelligence." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605893/index.pdf.

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This thesis proposes a framework for determining the optimum location of an injection well by using an inference method, Artificial Neural Networks and a search algorithm to create a search space and locate the global maxima. Theoretical foundation of the proposed framework is followed by description of the field for case study. A complex carbonate reservoir, having a recorded geothermal production history is used to evaluate the proposed framework ( Kizildere Geothermal field, Turkey). In the proposed framework, neural networks are used as a tool to replicate the behavior of commercial simula

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9

Burton, Holly. "Reservoir inflow forecasting using time series and neural network models." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29800.

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In practice, the reservoir net inflow is computed based upon the application of the water balance equation to the reservoir system since it is difficult to obtain direct and reliable measurements of this variable. The net inflow process has been thus found to possess a random behaviour because it is related to the stochastic nature of various physical processes involved in the water balance computation (e.g., precipitation, evaporation, etc.). Therefore, the aim of this research is to propose a forecasting method that can accurately and efficiently predict the random reservoir inflow series. T

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10

Abbas, Syed Murtuza. "Advanced Hybrid Simulation Model based on Phenomenology and Artificial Intelligence." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427963095.

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11

Miles, John Arthur Henry. "Artificial intelligence applied to data fusion and situation assessment for command and control." Thesis, University of Southampton, 1988. https://eprints.soton.ac.uk/52251/.

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Côté, Karl. "Risk analysis of contaminated sites : a Fuzzy set approach." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23742.

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A computer programme has been developed to evaluate risks that contaminated sites might pose to human health. Pollutants present in soils and sediments can potentially migrate from source to receptors, via different pathways. In the programme, pathways are represented by transport models.<br>Humans can be affected by contaminant migration through land and water use. Health risks can arise from ingestion of and dermal contact with contaminated water and soil, as well as through inhalation of contaminated air. Quantitative estimates of risks are calculated for both carcinogenic and non-carcinoge

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13

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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14

Bakhary, Norhisham. "Structural condition monitoring and damage identification with artificial neural network." University of Western Australia. School of Civil and Resource Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0102.

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Many methods have been developed and studied to detect damage through the change of dynamic response of a structure. Due to its capability to recognize pattern and to correlate non-linear and non-unique problem, Artificial Neural Networks (ANN) have received increasing attention for use in detecting damage in structures based on vibration modal parameters. Most successful works reported in the application of ANN for damage detection are limited to numerical examples and small controlled experimental examples only. This is because of the two main constraints for its practical application in det

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15

Ineza, Kayihura Didier. "Adoption of Artificial Intelligence in Commercial Real Estate : Data Challenges, Transparency and Implications for Property Valuations." Thesis, KTH, Fastigheter och byggande, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298074.

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Investment decision in the property market is closely connected to property valuation. Thus, accuracy of valuation results and deep analysis of the market is essential. Artificial Intelligence (AI) models have been successfully adopted in different fields and markets. However, the real estate market is typically lagged in time to adapt to these changes. Swedish commercial property market arrangements are characterized by increasing confidentiality of certain data types. As a consequence, the adoption of the AI valuation models in the Swedish commercial property market is slowed down. This stu

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16

Zhou, Gordon. "Machine Learning-Based Cost Predictive Model for Better Operating Expenditure Estimations of U.S. Light Rail Transit Projects." Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28157527.

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Inaccurate forecasts of operating expenditures during the planning phase for new Light Rail Transit (LRT) projects in the United States underestimated future costs by up to 45% (Pickrell, 1989). When operating expenditures exceeded projected levels, local transit agencies often reduced public transit services to operate within their respective annual budgets. Therefore, it is imperative for transit agencies to produce reasonably accurate planning estimates to secure sufficient funding to support future operations, maintenance, and service delivery associated with LRT systems. The research aime

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17

Song, Weilian. "Image-Based Roadway Assessment Using Convolutional Neural Networks." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/78.

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Road crashes are one of the main causes of death in the United States. To reduce the number of accidents, roadway assessment programs take a proactive approach, collecting data and identifying high-risk roads before crashes occur. However, the cost of data acquisition and manual annotation has restricted the effect of these programs. In this thesis, we propose methods to automate the task of roadway safety assessment using deep learning. Specifically, we trained convolutional neural networks on publicly available roadway images to predict safety-related metrics: the star rating score and free-

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18

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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19

Kadiyala, Akhil. "Development and Evaluation of an Integrated Approach to Study In-Bus Exposure Using Data Mining and Artificial Intelligence Methods." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341257080.

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Raja, Muhammad Nouman Amjad. "Load-settlement investigation of geosynthetic-reinforced soil using experimental, analytical, and intelligent modelling techniques." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2455.

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During the past five decades, numerous studies have been conducted to investigate the load-settlement behaviour of geosynthetic-reinforced soil. The main advantage of reinforced soil foundations are the increase in the bearing capacity and decrease in the settlement. Whereas, for pavement foundation design, the strength of the subgrade soil is often measured in terms of California bearing ratio (CBR). The researchers have suggested various methods to improve the quality of geosynthetic-reinforced foundations soils. In the recent past, the wraparound geosynthetic reinforcement technique has bee

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21

Oki, Adewale Abiola. "Primordial abilities in artificially intelligent systems for civil engineering design." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46478.

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Yusuf, Syed Adnan. "An evolutionary AI-based decision support system for urban regeneration planning." Thesis, University of Wolverhampton, 2010. http://hdl.handle.net/2436/114896.

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The renewal of derelict inner-city urban districts suffering from high levels of socio-economic deprivation and sustainability problems is one of the key research areas in urban planning and regeneration. Subject to a wide range of social, economical and environmental factors, decision support for an optimal allocation of residential and service lots within such districts is regarded as a complex task. Pre-assessment of various neighbourhood factors before the commencement of actual location allocation of various public services is considered paramount to the sutainable outcome of regeneration

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23

Hao, Shilun. "IDS---Intelligent Dougong System: A Knowledge-based and Graphical Simulation of Construction Processes of China’s Song-style Dougong System." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417702752.

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24

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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25

Kiani, Bobak Toussi. "Quantum artificial intelligence : learning unitary transformations." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127158.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 77-83).<br>Linear algebra is a simple yet elegant mathematical framework that serves as the mathematical bedrock for many scientific and engineering disciplines. Broadly defined as the study of linear equations represented as vectors and matrices, linear algebra provides a mathematical toolbox for manipulating and controlling many physical systems. For example, linear algebra is central to the modeling o

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26

Quantrille, Thomas E. "Prolog and artificial intelligence in chemical engineering." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-06062008-170029/.

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Ong, Yew Soon. "Artificial intelligence technologies in complex engineering design." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273909.

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Alves, Alexessander da Silva Couto. "Internet Traffic Engineering : An Artificial Intelligence Approach." Master's thesis, Universidade do Porto. Reitoria, 2004. http://hdl.handle.net/10216/14332.

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Alves, Alexessander da Silva Couto. "Internet Traffic Engineering : An Artificial Intelligence Approach." Dissertação, Universidade do Porto. Reitoria, 2004. http://hdl.handle.net/10216/14332.

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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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Iskandar, Hany. "Artificial intelligence application for objects identification." Thesis, KTH, Fordonsdynamik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265623.

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New Cities expand rapidly and the increase of population is resulting in longer and more frequent travelling distances. The demand of increasing the vehicles’ efficiency, safety and comfort is highly prioritized. Therefore, the demand of au-tonomous vehicles is increasing, since many studies indicate of reducing road acci-dent by eliminating the human errors. This thesis is mainly about a study of Con-volution neural network and how it is used for the purpose of object identification. Also, a customized model has been created used for objects identification found in the Swedish traffic, which

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Mishra, Pallavi. "Universal artificial intelligence: evaluation and benchmarks." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107604.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 60-64).<br>The fields of artificial intelligence has struggled since it's inception about fundamental question of what intelligence means and how to measure it. The underlying issue of defining intelligence and it's formal measure are sensitive issues in human culture, both in respect to humans and more so in respect to machi

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Hilton, Erwin. "Visual datasets for artificial intelligence agents." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119553.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 41).<br>In this thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is Spatial IQ Gene

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34

Barkalow, Daniel J. (Daniel James) 1977. "On making modular artificial intelligence systems." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86648.

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Whang, Edward S. (Edward Sunook) 1976. "Artificial intelligence in insurance profitability models." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80138.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (leaves 50-51).<br>by Edward S. Whang.<br>S.B.and M.Eng.

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Brown, Kenneth N. "Conceptual geometric reasoning in artificial intelligence and engineering." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337201.

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Tebbutt, Colin Dean. "Control system design using artificial intelligence." Doctoral thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/14697.

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Includes bibliography.<br>Successful multivariable control system design demands knowledge, skill and creativity of the designer. The goal of the research described in this dissertation was to investigate, implement, and evaluate methods by which artificial intelligence techniques, in a broad sense, may be used in a design system to assist the user. An intelligent, interactive, control system design tool has been developed to fulfil this aim. The design tool comprises two main components; an expert system on the upper level, and a powerful CACSD package on the lower level. The expert system ha

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Witt, Neil A. J. "Artificial intelligence techniques applied to automatic ship guidance." Thesis, University of Plymouth, 1995. http://hdl.handle.net/10026.1/2592.

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It has been estimated that over eighty per cent of marine accidents have been caused by operator error. The skills of the operator in the handling of the vessel are variable and are subject to external influences. Over the past seventy years many advances have been made in the field of ship control. Early developments on proportional controllers have led to today's modern control systems which have interfacing capabilities with electronic navigation equipment. This research investigates traditional control methodologies and introduces the concept of applying artificial intelligence (AI) method

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Lopes, Luis Ramos dos Santos. "An artificial Intelligence Approach to improving Speech Recognition." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/5180.

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Speech Recognition is a technology with promising applications. However, the performance of current speech recognizers greatly limit their widespread use. Approaches to reducing the word error rate have mainly been associated with statistical techniques. As a consequence, speech recognition results can still contain sentences that are nonsensical. The method proposed here, is to analize the output of any chosen speech recognition system, in order to determine whether a sentence contains syntactic or semantic errors. This is done via a software agent that uses the information from its knowledge

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Curlette, Christina M. "Artificial intelligence-assisted data analysis with BayesDB." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/119517.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 67-68).<br>When applying machine learning and statistics techniques to real-world datasets, problems often arise due to missing data or errors from black-box predictive models that are difficult to understand or explain in t

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Zhou, Samson S. "Human and artificial intelligence acquisition of quantifiers." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76986.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 49).<br>This paper is concerned with constraints on learning quantifiers, particularly those cognitive on human learning and algorithmic on machine learning, and the resulting implications of those constraints on language identification. Previous experiments show that children attempting to differentiate quantifiers from numbers use a similar acquisition method for both types of words. H

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Ramstad, Robert Matthew. "A constructivist approach to artificial intelligence reexamined." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12932.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.<br>Includes bibliographical references (p. 289).<br>by Robert Matthew Ramstad.<br>M.S.

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Hearn, Robert A. (Robert Aubrey) 1965. "Building grounded abstractions for artificial intelligence programming." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/17510.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 57-58).<br>Most Artificial Intelligence (AI) work can be characterized as either "high-level" (e.g., logical, symbolic) or "low-level" (e.g., connectionist, behavior-based robotics). Each approach suffers from particular drawbacks. High-level Al uses abstractions that often have no relation to the way real, biological brains work. Low-level Al, on the other hand, tends to lack the powerful abstractions that are needed to express complex st

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Fischer, Daniel Poehlman Skipper William. "Artificial intelligence techniques applied to fault detection systems /." *McMaster only, 2004.

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Nilsson, Daniel. "Artificial Intelligence for detecting IoT data intrusions." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424095.

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The importance of the Internet of Things (IoT) continues to grow in modern society,yet it remains relatively vulnerable to data intrusion attacks. These attacks can compromise both the IoT networks them selves and the services that rely on them.This work explores a number of artificial intelligence solutions for their viability in intrusion detection within the IoT. The Bayesian Network, Artificial Neural Networkand Support Vector Machine are judged to have the most potential. A traditional three-layer Artificial Neural Network is tested in practice, using roundtrip time and power consumption

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46

Rahman, I. "Application of artificial intelligence techniques to chemical engineering problems." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2005. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2437.

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Schmidt-Cornelius, Hanson. "Reverse engineering an active eye." Thesis, University of Sussex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250167.

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Sam, Monica. "Adapting the Search Space while Limiting Damage during Learning in a Simulated Flapping Wing Micro Air Vehicle." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1516110868090571.

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Van, Brummelen Jessica(Jessica Raquelle). "Tools to create and democratize conversational artificial intelligence." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122704.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 189-195).<br>The world is becoming increasingly saturated with voice-first technology, such as Amazon Alexa and Google Home devices. As this technology becomes more complex, the skill set needed to develop conversational AI appli

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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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