Dissertations / Theses on the topic 'Computer errors'
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Bootkrajang, Jakramate. "Supervised learning with random labelling errors." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4487/.
Afifi, Faten Helmy. "Detecting errors in nonlinear functions for computer software." Case Western Reserve University School of Graduate Studies / OhioLINK, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=case1060013182.
Guo, Shijing. "Systematic analysis and modelling of diagnostic errors in medicine." Thesis, City University London, 2016. http://openaccess.city.ac.uk/15125/.
Kamal, Muhammad. "Software design methods and errors." Thesis, University of Liverpool, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317143.
Lieberman, Eric (Eric W. ). "Facemail : preventing common errors when composing email." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36804.
Includes bibliographical references (p. 85-86).
Facemail is a system designed to investigate and prevent common errors that users make while composing emails. Users often accidentally send email to incorrect recipients by mistyping an email address, accidentally clicking "Reply-to-all" rather than just "Reply", or using the wrong email address altogether. Facemail is a user interface addition to an email client that provides the user with more information about the recipients of their email by showing their actual faces. This form of information is much more usable than the simple text in current displays, and it allows the user to determine whether his email is going to the correct people with only a glance. This thesis discusses the justification for this system, as well as the challenges that arose in making it work. In particular, it discusses how to acquire images of users based on their email address, and how to interact with lists, both in learning their members as well as displaying them to the user. This thesis discusses how Facemail fits into current research as well as how its ideas could be expanded into further research.
by Eric Lieberman.
M.Eng.
Jeffrey, Dennis Bernard. "Dynamic state alteration techniques for automatically locating software errors." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1899476671&SrchMode=2&sid=2&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268336630&clientId=48051.
Includes abstract. Title from first page of PDF file (viewed March 11, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 223-234). Also issued in print.
Liu, Jiaqi. "Handling Soft and Hard Errors for Scientific Applications." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1483632126075067.
Cal, Semih. "Evaluating Query Estimation Errors Using Bootstrap Sampling." Youngstown State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1627358871966099.
Chang, Alice Ai-Yuan. "Models of common errors in a Tetris session." Thesis, Massachusetts Institute of Technology, 1990. https://hdl.handle.net/1721.1/128800.
Includes bibliographical references (leaf 71).
by Alice Ai-Yuan Chang.
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1990.
Lyons, Laura Christine. "An investigation of systematic errors in machine vision hardware." Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/16759.
Snowden, D. S. "Knowledge-based diagnosis of semantic errors in ADA programs." Thesis, University of York, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379017.
Fletcher, Simon. "Computer aided system for intelligent implementation of machine tool error reduction methodologies." Thesis, University of Huddersfield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368312.
Sexton, John A. "Detecting errors in software using a parameter checker : an analysis /." Online version of thesis, 1989. http://hdl.handle.net/1850/10585.
Di, Giacomo Benedito. "Computer aided calibration and hybrid compensation of geometric errors in coordinate measuring machines." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306885.
Hassanzadeh, Nezami Setareh. "A Study of Errors, Corrective Feedback and Noticing in Synchronous Computer Mediated Communication." Thesis, Linköpings universitet, Avdelningen för språk och kultur, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-88411.
VANKAMAMIDI, SRIHARSHA. "Fusing Joint Information from Multiple Kinect Sensors to Detect Errors in Exercises." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1477921964956213.
Feng, Michelle. "Automatically Fixing Syntax Errors with PEST, a Python Tool for Beginners." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1148.
Lee, John Sie Yuen 1977. "Automatic correction of grammatical errors in non-native English text." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53292.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 99-107).
Learning a foreign language requires much practice outside of the classroom. Computer-assisted language learning systems can help fill this need, and one desirable capability of such systems is the automatic correction of grammatical errors in texts written by non-native speakers. This dissertation concerns the correction of non-native grammatical errors in English text, and the closely related task of generating test items for language learning, using a combination of statistical and linguistic methods. We show that syntactic analysis enables extraction of more salient features. We address issues concerning robustness in feature extraction from non-native texts; and also design a framework for simultaneous correction of multiple error types. Our proposed methods are applied on some of the most common usage errors, including prepositions, verb forms, and articles. The methods are evaluated on sentences with synthetic and real errors, and in both restricted and open domains. A secondary theme of this dissertation is that of user customization. We perform a detailed analysis on a non-native corpus, illustrating the utility of an error model based on the mother tongue. We study the benefits of adjusting the correction models based on the quality of the input text; and also present novel methods to generate high-quality multiple-choice items that are tailored to the interests of the user.
by John Sie Yuen Lee.
Ph.D.
Chu, Amy 1980. "Mutual disambiguation of recognition errors in a multimodal navigational agent." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87392.
Xie, Chuanlong. "Model checking for regressions when variables are measured with errors." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/445.
Müller, Miguel. "Self-healing Javascript Errors Caused by the Browser Extension Privacy Badger." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303012.
Eftersom dagens webb genomsyras av integritetskränkande tredjepartsspårare väljer många användare att installera integritetsskyddande webbläsartillägg som förhindrar otillbörlig tillgång till användarnas personliga information. Forskning har dock visat att integritetsskyddande webbläsartillägg kan sänka kvaliteten på hemsidor och förstöra meningsfull funktionalitet. Vårt examensarbete angriper detta problem genom att utföra automatiserade reparationer på Javascript-kod som har förstörts av Privacy Badger, ett heurestikbaserat integritetsskyddande webbläsartillägg. Först studerar vi hur användandet av Privacy Badger påverkar förekomsten av Javascript-fel på 11 665 webbsidor. Vi påträffar Javascript-fel orsakade av Privacy Badger på 758 (6.5%)webbsidor. Dessutom observerar vi en 74-procentig ökning av Javascript-fel, och en 27- procentig ökning av webbsidor påverkade av Javascript-fel, när Privacy Badger används. Vi använder dessa data för att undersöka hur BikiniProxy, en HTML- och Javascript- omskrivningsproxy bestående av fem självläkningsstrategier, presterar på Javascript-fel orsakade av Privacy Badger. Utav 751 webbsidor med Javascript-fel orsakade av Privacy Badger så har 215 (29%) minst ett sådant fel reparerat av BikiniProxy. Baserat på ett tillkortakommande vi identifierar i BikiniProxy så föreslår vi en förbättring av dess line skipperstrategi. Att reparera med vår förbättrade version av BikiniProxy minskar antalet Javascript-fel på 12.9% flerwebbsidor. Slutligen visar vi att reparerandet med BikiniProxy kan återställa funktionalitet som förstörts av Privacy Badger. Däremot kan vi bara upptäcka sådana fall på två webbsidor, vilket visar att reparationsstrategierna lider av överanpassning i vår kontext. Vår viktigaste insikt är att integritetsskyddande webbläsartillägg kan förstöra funktionalitet utan att blockera någon resurs som funktionaliteten är beroende av, och att det är dessa fall där BikiniProxy kan återställa funktionaliteten.
Westberg-Bracewell, Linda. "ErrorBuster : a computer program designed to remediate persistent errors of Francophone speakers of English." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59238.pdf.
Boonsalee, Siwaphong 1974. "Effects of random surface errors on the performance of paraboloidal reflectors." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8940.
Includes bibliographical references (leaves 146-151).
A program based on ray tracing has been developed to study the radiation patterns of paraboloidal reflector antennas whose surfaces are subjected to random errors with the emphasis on using an accurate representation of the statistics of the random surface errors. An ensemble of Gaussian random surfaces is created to be used with the Monte Carlo simulation. The average patterns from different surface root-mean-square values are presented for both the co-polarized and cross-polarized fields on the E-plane, H-plane, and 45-degree plane. They are compared with results based on physical optics and the antenna tolerance theory.
by Siwaphong Boonsalee.
M.Eng.and S.B.
Wennerström, Hjalmar. "Meteorological impact and transmission errors in outdoor wireless sensor networks." Licentiate thesis, Uppsala universitet, Avdelningen för datorteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227639.
WISENET
Pasupuleti, Venkata Sai Manoj. "Probabilistic approaches for verification of unlikely inserted errors in Hardware Description Languages." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452182260.
Eriksson, Daniel. "Portable BizTalk solutions : Evaluating portable solutions to search for errors in BizTalkplatforms." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142407.
BizTalk Server är ett integrationsystem som underlättar integrering av olika system. Med hjälp av olika adaptrar kan BizTalk enkelt koppla samman tjänster som inte pratar på samma språk. Fel inträffar i BizTalk och experter behöver en smidig och portabel lösning för att identifiera dessa. Rapporten utvärderar olika infrastrukturer för att skapa mobila övervakningslösningar till BizTalk. Resultaten visar på att flera verktyg måste användas för att ansluta till BizTalk. Informationen som dessa vektyg kommer åt måste skyddas med rättigheter, som helst implementeras i molnet. Molnportalen som används i det här projektet är Windows Azure, men andra molnlösningar har också utvärderats. Azure har en tjänst som är specialiserad på att nå skyddaded nätverk bakom brandväggar, vilket andra leverantörer saknar. Slutligen utvecklades en prototyp i Windows Phone 8 för att demonstrera lösningen. Demonstrationen skedde inför BizTalk-experter, som var intresserade av lösningen och har valt att fortsätta projektet. De har tagit nästa steg i processen, som handlar om att analysera vad det skulle kosta att utveckla en komersiell produkt samt vad som skulle kunna tas betalt för en sådan produkt.
Kelley, Anne K. M. Eng Massachusetts Institute of Technology. "A system for classifying and clarifying Python syntax errors for educational purposes." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119750.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 65-66).
Many students learning Python frequently encounter syntax errors but have difficulty understanding the error messages and correcting their code. In this thesis, we designed, implemented, and performed preliminary testing of a system for classification of syntax errors commonly made by beginning coders. Errors are classified by constructing a partial syntax tree and analyzing the node containing the error with respect to its surrounding nodes. The system aims to use the classified errors to provide more precise and instructive error messages to aid students in the debugging process.
by Anne K. Kelley.
M. Eng.
Lei, Lei. "Markov Approximations: The Characterization of Undermodeling Errors." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1371.pdf.
Pidaparthy, Hemanth. "Recognizing and Detecting Errors in Exercises using Kinect Skeleton Data." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1430912344.
Gandhi, Raju. "Reduction / elimination of errors in cost estimates using calibration an algorithmic approach /." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1134575761.
Muthukumarasamy, Arulkumaran. "IMPACT OF MICROPHONE POSITIONAL ERRORS ON SPEECH INTELLIGIBILITY." UKnowledge, 2009. http://uknowledge.uky.edu/gradschool_theses/602.
Armstrong, Joe. "Making reliable distributed systems in the presence of software errors." Doctoral thesis, KTH, Microelectronics and Information Technology, IMIT, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3658.
The work described in this thesis is the result of aresearch program started in 1981 to find better ways ofprogramming Telecom applications. These applications are largeprograms which despite careful testing will probably containmany errors when the program is put into service. We assumethat such programs do contain errors, and investigate methodsfor building reliable systems despite such errors.
The research has resulted in the development of a newprogramming language (called Erlang), together with a designmethodology, and set of libraries for building robust systems(called OTP). At the time of writing the technology describedhere is used in a number of major Ericsson, and Nortelproducts. A number of small companies have also been formedwhich exploit the technology.
The central problem addressed by this thesis is the problemof constructing reliablesystems from programs which maythemselves contain errors. Constructing such systems imposes anumber of requirements on any programming language that is tobe used for the construction. I discuss these languagerequirements, and show how they are satisfied by Erlang.
Problems can be solved in a programming language, or in thestandard libraries which accompany the language. I argue howcertain of the requirements necessary to build a fault-tolerantsystem are solved in the language, and others are solved in thestandard libraries. Together these form a basis for buildingfault-tolerant software systems.
No theory is complete without proof that the ideas work inpractice. To demonstrate that these ideas work in practice Ipresent a number of case studies of large commerciallysuccessful products which use this technology. At the time ofwriting the largest of these projects is a major Ericssonproduct, having over a million lines of Erlang code. Thisproduct (the AXD301) is thought to be one of the most reliableproducts ever made by Ericsson.
Finally, I ask if the goal of finding better ways to programTelecom applications was fulfilled --- I also point to areaswhere I think the system could be improved.
Liljebjörn, Johan, and Hugo Broman. "Mantis The Black-Box Scanner : Finding XSS vulnerabilities through parse errors." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19566.
Tejeda, Abiezer. "Correcting Errors Due to Species Correlations in the Marginal Probability Density Evolution." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1472.
Goldberg, DavidM B. A. Sloan School of Management. "Improving project timelines using Al / ML to detect forecasting errors." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122602.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019, In conjunction with the Leaders for Global Operations Program at MIT
Page 75 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (page 67).
This project focuses on the creation of a novel tool to detect and flag potential errors within Amgen's capacity management forecast data, in an automated manner using statistical analysis, artificial intelligence and machine learning. User interaction allows the tool to learn from experience, improving over time. While the tool created here focuses on a specific set of Amgen's data, the framework, approach and techniques offered herein can more broadly be applied to detect anomalies and errors in other sets of data from across industries and functions. By detecting errors in Amgen's data, the tool improves data robustness and forecasts, which drive decisions, actions and ultimately results. Flagging and correcting this data allows for overcoming errors, which would otherwise damage the accurate allocation of Amgen's human resources to activities in the drug pipeline, ultimately hampering Amgen's ability to develop drugs for patients efficiently. A user interface (UI) dashboard evaluates the tool's performance, tracking the number of errors correctly identified, the accuracy rate, and the estimated business impact. To date the tool has identified 893 corrected errors with a 99.2% accuracy rate and an estimated business impact of $77.798M optimized resources. Using the paradigm of intelligent augmentation (IA), this tool empowers employees by focusing their attention and saving them time. The tool handles the human-impossible task of sifting through thousands of lines and hundreds of thousands of data points. The human user then makes decisions and takes action based on the tool provided output.
by David Goldberg.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Baird, Patrick James Samuel. "Mathematical modelling of the parameters and errors of a contact probe system and its application to the computer simulation of coordinate measuring machines." Thesis, Brunel University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320548.
Prabhu, Parrikar Utpal M. "On SNR aware analysis and modeling of 802.11b link-level residual errors." Diss., Connect to online resource - MSU authorized users, 2006.
Title from PDF t.p. (viewed on Oct. 30, 2009) Includes bibliographic references (p. 46-47). Also issued in print.
Haden, Lonnie A. "A numerical procedure for computing errors in the measurement of pulse time-of-arrival and pulse-width." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9849.
Bryer, Bevan. "Protection unit for radiation induced errors in flash memory systems." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50070.
ENGLISH ABSTRACT: Flash memory and the errors induced in it by radiation were studied. A test board was then designed and developed as well as a radiation test program. The system was irradiated. This gave successful results, which confirmed aspects of the study and gave valuable insight into flash memory behaviour. To date, the board is still being used to test various flash devices for radiation-harsh environments. A memory protection unit (MPU) was conceptually designed and developed to morntor flash devices, increasing their reliability in radiation-harsh environments. This unit was designed for intended use onboard a micro-satellite. The chosen flash device for this study was the K9F1208XOA model from SAMSUNG. The MPU was designed to detect, maintain, mitigate and report radiation induced errors in this flash device. Most of the design was implemented in field programmable gate arrays and was realised using VHDL. Simulations were performed to verify the functionality of the design subsystems. These simulations showed that the various emulated errors were handled successfully by the MPU. A modular design methodology was followed, therefore allowing the chosen flash device to be replaced with any flash device, following a small reconfiguration. This also allows parts of the system to be duplicated to protect more than one device.
AFRIKAANSE OPSOMMING: 'n Studie is gemaak van" Flash" geheue en die foute daarop wat deur radiasie veroorsaak word. 'n Toetsbord is ontwerp en ontwikkel asook 'n radiasie toetsprogram waarna die stelsel bestraal is. Die resultate was suksesvol en het aspekte van die studie bevestig en belangrike insig gegee ten opsigte van "flash" komponente in radiasie intensiewe omgewmgs. 'n Geheue Beskermings Eenheid (GBE) is konseptueel ontwerp en ontwikkelom die "flash" komponente te monitor. Dit verhoog die betroubaarheid in radiasie intensiewe omgewings. Die eenheid was ontwerp met die oog om dit aan boord 'n mikro-satelliet te gebruik. Die gekose "flash" komponent vir die studie was die K9F1208XOA model van SAMSUNG. Die GBE is ontwerp om foute wat deur radiasie geïnduseer word in die "flash" komponent te identifiseer, herstel en reg te maak. Die grootste deel van die implementasie is gedoen in "field programmable gate arrays" and is gerealiseer deur gebruik te maak van VHDL. Simulasies is gedoen om die funksionaliteit van die ontwikkelde substelsels te verifieer. Hierdie simulasies het getoon dat die verskeie geëmuleerde foute suksesvol deur die GBE hanteer is. 'n Modulre ontwerpsmetodologie is gevolg sodat die gekose "flash" komponent deur enige ander flash komponent vervang kan word na gelang van 'n eenvoudige herkonfigurasie. Dit stelook dele van die sisteem in staat om gedupliseer te word om sodoende meer as een komponent te beskerm.
Khan, Mohammad Ali, and Majid Nasir. "Human Errors and Learnability Evaluation of Authentication System." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4054.
This study addressed the usability experiences of users by exploring the human errors and the learnability situation of the authentication systems. Authors conducted a case study to explore the situation of human errors and learnability of authentication systems. Observation and interviews were adapted to gather data. Then analysis through SHERPA (to evaluate human errors) and Grossman et al. learnability metric (to evaluate learnability) had been conducted. First, the authors identified the human errors and learnability issues on the authentication systems from user’s perspective, from the gathered raw data. Then further analysis had been conducted on the summary of the data to identify the features of the authentication systems which are affecting the human errors and learnability issues. The authors then compared the two different categories of authentication systems, such as the 1-factor and the multi-factor authentication systems, from the gathered information through analysis. Finally, the authors argued the possible updates of the SHERPA’s human error metric and additional measurable learnability issues comparing to Grossman et al. learnability metrics. The studied authentication systems are not human errors free. The authors identified eight human errors associated with the studied authentication systems and three features of the authentication systems which are influencing the human errors. These errors occurred while the participants in this study took too long time locating the login menu or button or selecting the correct login method, and eventually took too long time to login. Errors also occurred when the participants failed to operate the code generating devices, or failed to retrieve information from errors messages or supporting documents, and/or eventually failed to login. As these human errors are identifiable and predictable through the SHERPA, they can be solved as well. The authors also found the studied authentication systems have learnability issues and identified nine learnability issues associated with them. These issues were identified when very few users could complete the task optimally, or completed without any help from the documentation. Issues were also identified while analyzing the participants’ task completion time after reviewing documentations, operations on code generating devices, and average errors while performing the task. These learnability issues were identified through Grossman et al. learnability metric, and the authors believe more study on the identified learnability issues can improve the learnability of the authentication systems. Overall, the authors believe more studies should be conducted on the identified human errors and learnability issues to improve the overall human errors and learnability situation of the studied authentication systems at presence. Moreover, these issues also should be taken into consideration while developing future authentication systems. The authors believe, in future, the outcome of this study will also help researchers to propose more usable, but yet secured authentication systems for future growth. Finally, authors proposed some potential research ares, which they believe will have important contribution to the current knowledge. In this study, the authors used the SHERPA to identify the human errors. Though the SHERPA (and its metrics) is arguably one of the best methods to evaluate human errors, the authors believe there are scopes of improvements in the SHERPA’s metrics. Human’s perception and knowledge is getting changed, and to meet the challenge, the SHERPA’s human error metrics can be updated as well. Grossman et al. learnability metrics had been used in this study to identify learnability issues. The authors believe improving the current and adding new metrics may identify more learnability issues. Evaluation of learnability issues may have improved if researchers could have agreed upon a single learnability definition. The authors believe more studies should be conducted on the definition of learnability in order to achieve more acceptable definition of the learnability for further research. Finally, more studies should be conducted on the remedial strategies of the identified human errors, and improvement on the identified learnability issues, which the authors believe will help researchers to propose more usable, but yet secured authentication systems for the future growth.
30/1, Shideshwari Lane, Shantinagar, Ramna, Dhaka, Bangladesh, Post Code 1217. Contact: +88017130 16973
Olson, Erik Lee. "Computer-assisted decision aids in difficult decision environments: Factors which enhance the probability of decision errors and decision error impact on subjective evaluations of the decision aid." Case Western Reserve University School of Graduate Studies / OhioLINK, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=case1056551622.
Alonso, Miguel Jr. "A method for enhancing digital information displayed to computer users with visual refractive errors via spatial and spectral processing." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/1112.
Brewer, Judy. "Metabolic Modeling of Inborn Errors of Metabolism: Carnitine Palmitoyltransferase II Deficiency and Respiratory Chain Complex I Deficiency." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:24078365.
Boyd, Adriane Amelia. "Detecting and Diagnosing Grammatical Errors for Beginning Learners of German: From Learner Corpus Annotation to Constraint Satisfaction Problems." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325170396.
McMurtrey, Daniel L. "Using Duplication with Compare for On-line Error Detection in FPGA-based Designs." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1094.
Guichard, Jonathan. "Quality Assessment of Conversational Agents : Assessing the Robustness of Conversational Agents to Errors and Lexical Variability." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226552.
Att bedöma en konversationsagents språkförståelse är kritiskt, eftersom dåliga användarinteraktioner kan avgöra om agenten blir en framgång eller ett misslyckande redan i början av livscykeln. I denna rapport undersöker vi användningen av parafraser som ett testverktyg för dessa konversationsagenter. Parafraser, vilka är olika sätt att uttrycka samma avsikt, skapas baserat på känd indata genom att utföra lexiska substitutioner och genom att introducera flera stavningsavvikelser. Eftersom det förväntade resultatet för denna indata är känd kan vi använda resultaten för att bedöma agentens robusthet mot språkvariation och upptäcka potentiella förståelssvagheter. Som framgår av en fallstudie får vi uppmuntrande resultat, eftersom detta tillvägagångssätt verkar kunna bidra till att förutse eventuella brister i förståelsen, och dessa brister kan hanteras av de genererade parafraserna.
Feng, Yunyi. "Identification of Medical Coding Errors and Evaluation of Representation Methods for Clinical Notes Using Machine Learning." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1555421482252775.
Martwick, Andrew Wayne. "Clock Jitter in Communication Systems." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4375.
Olsson, Tim, and Konrad Magnusson. "Training Artificial Neural Networks with Genetic Algorithms for Stock Forecasting : A comparative study between genetic algorithms and the backpropagation of errors algorithms for predicting stock prices." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186447.
Shiyanovskii, Yuriy. "Reliability of SRAMs and 3D TSV ICS: Design Protection from Soft Errors and 3D Thermal Modeling." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1334891947.