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Dissertations / Theses on the topic 'Automatic diagnosis'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Axvik, Linda. "Automatic Diagnosis of Breast Tumoursin Ultrasound Images." Thesis, KTH, Tillämpad fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233752.

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Deosthale, Eeshan Vijay. "Model-Based Fault Diagnosis of Automatic Transmissions." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892.

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Zhong, Binglin. "Model building and machine fault diagnosis." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340889.

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Wang, Xiaoyu. "A data analytic approach to automatic fault diagnosis and prognosis for distribution automation." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=28772.

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Distribution Automation (DA) is deployed to reduce outages and to rapidly reconnect customers following network faults. Recent developments in DA equipment have enabled the logging of load and fault event data, referred to as pick-up activity. This pick-up activity provides a picture of the underlying circuit activity occurring between successive DA operations over a period of time and has the potential to be accessed remotely for off-line or on-line analysis. The application of data analytics and automated analysis of this data supports reactive fault management and post fault investigation i

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Li, Li. "Model-based automatic performance diagnosis of parallel computations /." view abstract or download file of text, 2007. http://proquest.umi.com/pqdweb?did=1335366371&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2007.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 119-123). Also available for download via the World Wide Web; free to University of Oregon users.

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Sinthanayothin, Chanjira. "Image analysis for automatic diagnosis of diabetic retinopathy." Thesis, King's College London (University of London), 1999. https://kclpure.kcl.ac.uk/portal/en/theses/image-analysis-for-automatic-diagnosis-of-diabetic-retinopathy(163f8067-329d-4a48-b214-0ea70ba828d4).html.

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BOLDT, F. A. "Classifier Ensemble Feature Selection for Automatic Fault Diagnosis." Universidade Federal do Espírito Santo, 2017. http://repositorio.ufes.br/handle/10/9872.

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Made available in DSpace on 2018-08-02T00:04:07Z (GMT). No. of bitstreams: 1 tese_11215_thesis.pdf: 2358608 bytes, checksum: 6882526be259a3ef945f027bb764d17f (MD5) Previous issue date: 2017-07-14<br>"An efficient ensemble feature selection scheme applied for fault diagnosis is proposed, based on three hypothesis: a. A fault diagnosis system does not need to be restricted to a single feature extraction model, on the contrary, it should use as many feature models as possible, since the extracted features are potentially discriminative and the feature pooling is subsequently reduced with f

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Barrera, Núñez Víctor Augusto. "Automatic diagnosis of voltage disturbances in power distribution networks." Doctoral thesis, Universitat de Girona, 2012. http://hdl.handle.net/10803/80944.

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This thesis proposes a framework for identifying the root-cause of a voltage disturbance, as well as, its source location (upstream/downstream) from the monitoring place. The framework works with three-phase voltage and current waveforms collected in radial distribution networks without distributed generation. Real-world and synthetic waveforms are used to test it. The framework involves features that are conceived based on electrical principles, and assuming some hypothesis on the analyzed phenomena. Features considered are based on waveforms and timestamp information. Multivariate analysis o

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Lu, Dingran. "Multi-circle Detections for an Automatic Medical Diagnosis System." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/735.

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Real-time multi-circle detection has been a challenging problem in the field of biomedical image processing, due to the variable sizes and non-ideal shapes of cells in microscopic images. In this study, two new multi-circle detection algorithms are developed to facilitate an automatic bladder cancer diagnosis system: one is a modified circular Hough Transform algorithm integrated with edge gradient information; and the other one is a stochastic search approach based on real valued artificial immune systems. Computer simulation results show both algorithms outperform traditional methods such as

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Gemmell, Brian David. "A consultative expert system for intelligent diagnosis on steam turbine plant." Thesis, University of Strathclyde, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340915.

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Wazaefi, Yanal. "Automatic diagnosis of melanoma from dermoscopic images of melanocytic tumors : Analytical and comparative approaches." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4106.

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Le mélanome est la forme la plus grave de cancer de la peau. Cette thèse a contribué au développement de deux approches différentes pour le diagnostic assisté par ordinateur du mélanome : approche analytique et approche comparative.L'approche analytique imite le comportement du dermatologue en détectant les caractéristiques de malignité sur la base de méthodes analytiques populaires dans une première étape, et en combinant ces caractéristiques dans une deuxième étape. Nous avons étudié l’impacte d’un système du diagnostic automatique utilisant des images dermoscopique de lésions cutanées pigme

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Monroy, Chora Isaac. "An investigation on automatic systems for fault diagnosis in chemical processes." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/77637.

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Plant safety is the most important concern of chemical industries. Process faults can cause economic loses as well as human and environmental damages. Most of the operational faults are normally considered in the process design phase by applying methodologies such as Hazard and Operability Analysis (HAZOP). However, it should be expected that failures may occur in an operating plant. For this reason, it is of paramount importance that plant operators can promptly detect and diagnose such faults in order to take the appropriate corrective actions. In addition, preventive maintenance needs to be

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Nie, Yali. "Automatic Melanoma Diagnosis in Dermoscopic Imaging Base on Deep Learning System." Licentiate thesis, Mittuniversitetet, Institutionen för elektronikkonstruktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-41751.

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Melanoma is one of the deadliest forms of cancer. Unfortunately, its incidence rates have been increasing all over the world. One of the techniques used by dermatologists to diagnose melanomas is an imaging modality called dermoscopy. The skin lesion is inspected using a magnification device and a light source. This technique makes it possible for the dermatologist to observe subcutaneous structures that would be invisible otherwise. However, the use of dermoscopy is not straightforward, requiring years of practice. Moreover, the diagnosis is many times subjective and challenging to reproduce.

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Round, Andrew John. "Texture and colour for automatic image-based skin lesion analysis." Thesis, Bangor University, 1998. https://research.bangor.ac.uk/portal/en/theses/texture-and-colour-for-automatic-imagebased-skin-lesion-analysis(6f44bc07-d680-4aee-941b-49ba4ddd5314).html.

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The research presented here considers automatic diagnosis support for skin cancer. The role of computer-based diagnosis, and its value within a primary care situation are examined resulting in synthesis of aims, requirements and properties for an effective system -a system based on digital optical images captured and processed using low-cost commercial computer technology. The issues involved in acquisition of lesion boundaries are discussed. The value of accurate and robust boundaries, in terms of both directly obtainable diagnostic features and in enabling lesion property evaluation, is iden

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Frizzoni, Giulia. "A New Method for Automatic Actuator Fault Diagnosis for Autonomous Underwater Vehicles." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Through the following thesis, the problem of the FDI applied to an UUV is developed. Before this design, the mathematical model, a Simulink simulator and a PI control are presented. Finally, the system robustness to parameters variations is tested. Generally, on a vehicle, faulty conditions on some vehicle components, like thrusters, sensors or any other components, cause a reduction of performances or loss of stability, so that it is necessary a fault-tolerant control systems in order to detect the fault and isolate it from other inputs, or disturbance acting on the system dynamic, ensuring

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Ødegård, Jan, and Anders Østen. "Automatic diagnosis of ultrasound images using standard view planes of fetal anatomy." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10078.

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<p>The use of ultrasound has revolutionised the area of clinical fetal examinations. The possibility of detecting congenital abnormalities at an early stage of the pregnancy is highly important to maximise the chances of correcting the defect before it becomes life-threatening. The problems related to the routine procedure is its complexity and the fact that it requires a lot of knowledge about fetal anatomy. Because of the lack of training among midwives, especially in less developed countries, the results of the examinations are often limited. In addition, the quality of the ultrasound equip

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Zare, Habil. "Automatic analysis of flow cytometry data and its application to lymphoma diagnosis." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/39660.

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Flow cytometry has many applications in clinical medicine and biological research. For many modern applications, traditional methods of manual data interpretation are not efficient due to the large amount of complex, high dimensional data. In this thesis, I discuss some of the important challenges towards automatic analysis of flow cytometry data and propose my solutions. To validate my approach on addressing real life problems, I developed an automatic pipeline for analyzing flow cytometry data and applied it to clinical data. My pipeline can potentially be useful for improving quality check

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Yang, Hongyu. "Automatic Fault Diagnosis of Rolling Element Bearings Using Wavelet Based Pursuit Features." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16062/1/Hongyu_Yang_Thesis.pdf.

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Today's industry uses increasingly complex machines, some with extremely demanding performance criteria. Failed machines can lead to economic loss and safety problems due to unexpected production stoppages. Fault diagnosis in the condition monitoring of these machines is crucial for increasing machinery availability and reliability. Fault diagnosis of machinery is often a difficult and daunting task. To be truly effective, the process needs to be automated to reduce the reliance on manual data interpretation. It is the aim of this research to automate this process using data from machinery

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Yang, Hongyu. "Automatic Fault Diagnosis of Rolling Element Bearings Using Wavelet Based Pursuit Features." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16062/.

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Today's industry uses increasingly complex machines, some with extremely demanding performance criteria. Failed machines can lead to economic loss and safety problems due to unexpected production stoppages. Fault diagnosis in the condition monitoring of these machines is crucial for increasing machinery availability and reliability. Fault diagnosis of machinery is often a difficult and daunting task. To be truly effective, the process needs to be automated to reduce the reliance on manual data interpretation. It is the aim of this research to automate this process using data from machinery

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PASTORE, FABRIZIO. "Automatic diagnosis of software functional faults by means of inferred behavioral models." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7818.

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Software faults have a relevant impact on today economy. Modern software systems are often composed by different third-party components, of which developers have only a partial knowledge because of the absence of source code or complete specifications. The lack of complete knowledge about the integrated components is the principal cause of faults, and makes fault diagnosis difficult as well. The increase of maintenance costs and services unavailability is one of the consequences of difficult faults diagnosis. Different automatic diagnosis techniques have been developed to support developers

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Hallgren, Dan, and Håkan Skog. "Distributed Fault Diagnosis for Networked Embedded Systems." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5229.

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<p>In a system like a Scania heavy duty truck, faultcodes (DTCs) are generated and stored locally in the ECUs when components, e.g. sensors or actuators, malfunction. Tests are run periodically to detect failure in the system. The test results are processed by the diagnostic system that tries to isolate the faulty components and set local faultcodes.</p><p>Currently, in a Scania truck, local diagnoses are only based on local diagnostic information, which the DTCs are based upon. The diagnosis statement can, however, be more complete if diagnoses from other ECUs are considered. Thus a system th

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Church, Stuart Michael. "Energy management system for the diagnosis and control of an automatic guided vehicle." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/4798.

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With the increase in electronic equipment implemented in various systems, as well as the increase in calculating power that these devices offer, designers are being empowered to make use of this power in real-time systems to diagnose and protect the systems themselves. This reasoning is too compounded by the focus on efficiency and safety in the design of complex systems, as well as the increasing expense and sensitivity of the electronic components themselves. With this in mind, this dissertation aims at developing a comprehensive measurement, control and reaction system for the electrical di

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Johansson, Magnus, and Johan Kingstedt. "Methods for Residual Generation Using Mixed Causality in Model Based Diagnosis." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12062.

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<p>Several different air pollutions are produced during combustion in a diesel engine, for example nitric oxides, NOx, which can be harmful for humans. This has led to stricter emission legislations for heavy duty trucks. The law requires both lower emissions and an On-Board Diagnosis system for all manufactured heavy duty trucks. The OBD system supervises the engine in order to keep the emissions below legislation demands. The OBD system shall detect malfunctions which may lead to increased emissions. To design the OBD system an automatic model based diagnosis approach has been developed at S

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Svärd, Carl, and Henrik Wassén. "Development of Methods for Automatic Design of Residual Generators." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7931.

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<p>Legislation requires substantially lowered emissions and that all trucks manufactured are equipped with an On-Board Diagnosis (OBD) system. One approach for designing an OBD system is to use model based diagnosis and residual generation. At Scania CV AB, a method for automatic design of a diagnosis system from a model has been developed but there are still possibilities for improvements to get more and better residual generators. The main objective of this thesis is to analyze and improve the existing method.</p><p>A theoretic outline of two methods using different causality assumptions is

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Azarbarzin, Ali. "Snoring sounds analysis: automatic detection, higher order statistics, and its application for sleep apnea diagnosis." IEEE, 2011. http://hdl.handle.net/1993/9593.

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Snoring is a highly prevalent disorder affecting 20-40% of adult population. Snoring is also a major indicative of obstructive sleep apnea (OSA). Despite the magnitude of effort, the acoustical properties of snoring in relation to physiological states are not yet known. This thesis explores statistical properties of snoring sounds and their association with OSA. First, an unsupervised technique was developed to automatically extract the snoring sound segments from the lengthy recordings of respiratory sounds. This technique was tested over 5665 snoring sound segments of 30 participants and

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Camargo, Anyela. "An automatic system for the detection, diagnosis and control of plant diseases and other agents." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426137.

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Bačik, Radoslav. "Informační systém pro zubní kliniky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318125.

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This master thesis describes the creation of an information system for small to medium-sized dental clinics. The application will consist of a planning module (pa- tient ordering), a card index (patient information), a diagnosis and therapies system (the system will intelligently recommend treatment based on a speci ed health condi- tion) and a storage module (overview of the material). Administration takes doctors 1 to 2 hours a day and the goal of our application is to save this time.

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Lennartsson, Richard. "Automatic diagnostic system for I-shift transmission using vibration analysis." Thesis, Linköping University, Automatic Control, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57732.

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<p>This master’s thesis work was performed at Volvo Powertrain in Köping, Sweden, which manufactures gearboxes and integrated transmission systems for heavy vehicles. The thesis is a continuation of a previous master’s thesis performed at the Köping factory in 2009. After manufacturing and assembly, each gearbox is manually validated to ensure the gearbox quality and functionality. When validating the gearbox gears, the operator shifts the gearbox in a predefined manner and listens for irregularities. If an error sound is heard the operator must then locate the source of error. With numerous o

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Pernestål, Anna. "A Bayesian approach to fault isolation with application to diesel engine diagnosis." Licentiate thesis, KTH, School of Electrical Engineering (EES), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4294.

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<p>Users of heavy trucks, as well as legislation, put increasing demands on heavy trucks. The vehicles should be more comfortable, reliable and safe. Furthermore, they should consume less fuel and be more environmentally friendly. For example, this means that faults that cause the emissions to increase must be detected early. To meet these requirements on comfort and performance, advanced sensor-based computer control-systems are used. However, the increased complexity makes the vehicles more difficult for the workshop mechanic to maintain and repair. A diagnosis system that detects and locali

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Persson, Lena. "Diagnos av stiktion i reglerventiler för prediktivt underhåll." Thesis, Linköping University, Linköping University, Automatic Control, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16539.

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<p>This master thesis reviews advances in detection and diagnosis of static friction (stiction) in control valves. Control valves suffering from stiction results in oscillating control loops which in turn decreases both the process stability and reliability. Perstorp AB sees a necessity to automatically detect stiction in valves before the effects of the malfunctioning valves have become too severe. This thesis presents an introduction to maintenance, control loops and how stiction in valves can affect performance of control loops.</p><p>A selection of methods presented in the literature are i

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Olsson, Hanna. "Smartphone-based Colorimetric Diagnosis : DEVELOPMENT OF A METHOD FOR AUTOMATIC COMPENSATION OF IMPACT OF LIGHT SETTING." Thesis, KTH, Skolan för teknik och hälsa (STH), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173907.

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During the last years many mobile health applications have emerged on the market. Most of these collect and compiles physical data that can be followed over time. Now the next generation of health care applications are on their way. With an increasing capacity and high quality sensors, smartphones have the potential to be used as diagnostic tools. Calmark Sweden AB is a company that has developed a smartphone based diagnostic platform for analysis of colorimetric assays integrated on a disposable plastic chip. Their first product, the hilda Neo system is a Point of care test (POCT) for semi qu

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TEIXEIRA, TAIRO DOS PRAZERES. "A FUZZY INFERENCE SYSTEM WITH AUTOMATIC RULE EXTRACTION FOR GAS PATH DIAGNOSIS OF AVIATION GAS TURBINES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28405@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Turbinas a gás são equipamentos muito complexos e caros. No caso de falha em uma turbina, há obviamente perdas diretas, mas as indiretas são normalmente muito maiores, uma vez que tal equipamento é crítico para a operação de instalações industriais, aviões e veículos pesados. Portanto, é fundamental que turbinas a gás sejam providas com um sistema eficiente de monitoramento e diagnóstico. Isto é especialmente relevante no Brasil, cuja frota d

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Awadallah, Mohamed Abdel-Azim Mohamed. "Automatic fault diagnosis and location in CSI-fed brushless DC motor drives using Neuro-Fuzzy Systems /." Search for this dissertation online, 2004. http://wwwlib.umi.com/cr/ksu/main.

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Hunt, Kristian. "Log Analysis for Failure Diagnosis and Workload Prediction in Cloud Computing." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189186.

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The size and complexity of cloud computing systems makes runtime errors inevitable. These errors could be caused by the system having insufficient resources or an unexpected failure in the system. In order to be able to provide highly available cloud computing services it is necessary to auto- mate the resource provisioning and failure diagnosing processes as much as possible. Log files are often a good source of information about the current status of the system. In this thesis methods for diagnosing failures and predicting system workload using log file analysis are presented and the perform

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Jaiswal, Shashank. "Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/49074/.

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Neurodevelopmental conditions like Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) impact a significant number of children and adults worldwide. Currently, the means of diagnosing of such conditions is carried out by experts, who employ standard questionnaires and look for certain behavioural markers through manual observation. Such methods are not only subjective, difficult to repeat, and costly but also extremely time consuming. However, with the recent surge of research into automatic facial behaviour analysis and it's varied applications, it could prove t

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Thomson, Jessie. "Algorithms for automatic analysis of radiographs of the knee with application in diagnosis and monitoring of osteoarthritis." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/algorithms-for-automatic-analysis-of-radiographs-of-the-knee-with-application-in-diagnosis-and-monitoring-of-osteoarthritis(22af4216-3ff4-41b5-ac44-1dd4d83a53bd).html.

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Osteoarthritis (OA) of the knee is a disease that deteriorates the bones and surrounding soft tissue of the affected joint. Categorisation of the disease into grades of severity is subject to errors of measurement and poor observer agreement. There is an urgent need for automated methods to measure radiographic features and remove, as far as possible, the element of subjectivity in assessment. This project creates a fully automated system to analyse all aspects of the knee in radiographs. The methods evaluate explicit and implicit features of: overall shape, trabecular structure, osteophytes,

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NASIM, AMNAH. "Adaptation of the Segmented Beat Modulation Method to support diagnosis of cardiovascular disorders using electrocardiographic tracings acquired by wearable sensors." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/285589.

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Lo scopo di questa tesi è adattare il Segmented Beat Modulation Method (SBMM), un metodo per il filtraggio di segnali electrocardiografici (ECG), per tenere conto sia dei ritmi cardiaci sinusali che non e per aumentare la sua usabilità includendo i moderni sensori indossabili oltre ai tradizionali dispositivi clinici per la diagnosi di patologie cardiovascolari. Infatti, SBMM non è attualmente in grado di funzionare in presenza di battiti cardiaci anormali o aritmici (eventi critici che potrebbero portare allaa morte cardiaca improvvisa), il che limita enormemente la sua applicabilità alla dia

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Olsén, Christina. "Towards Automatic Image Analysis for Computerised Mammography." Doctoral thesis, Umeå University, Computing Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1657.

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<p>Mammographic screening is an effective way to detect breast cancer. Early detection of breast cancer depends to a high degree on the adequacy of the mammogram from which the diagnosis is made. Today, most of the analysis of the mammogram is performed by radiologists. Computer-aided diagnosis (CAD) systems have been proposed as an aid to increase the efficiency and effectiveness of the screening procedure by automatically indicating abnormalities in the mammograms. However, in order for a CAD system to be stable and efficient, the input images need to be adequate. Criteria for adequacy inclu

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Chen, Xuanwu. "A Framework for Recommending Signal Timing Improvements Based on Automatic Vehicle Matching Technologies." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3003.

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Continuously monitoring and automatically identifying existing problems in traffic signal operation is a challenging and time-consuming task. Although data are becoming available due to the adoption of emerging detection technologies, efforts on utilizing the data to diagnose signal control are limited. The current practices of retiming signals are still periodic and based on several days of aggregated turning movement counts. This dissertation developed a framework of automatic signal operation diagnosis with the aim to support decision-making processes by assessing the signal control and ide

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Esteller, Rosana. "Detection of seizure onset in epileptic patients from intracranial EEG signals." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15620.

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Löwe, Rakel, and Ida Schneider. "Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning." Thesis, Uppsala universitet, Tillämpad kärnfysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638.

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Parkinsonian syndrome is an umbrella term including several diseases with similar symptoms. PET images are key when differential diagnosing patients with parkinsonsian syndrome. In this work two automatic diagnosing models are developed and evaluated, with PET images as input, and a diagnosis as output. The two devoloped models are evaluated based on performance, in terms of sensitivity, specificity and misclassification error. The models consists of 1) regression model and 2) either a decision tree or a random forest. Two coefficients, alpha and beta, are introduced to train and test the mode

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SALVATORE, CHRISTIAN. "Development and validation of a Decision Support System for the automatic diagnosis of medical images from brain MRI studies." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/94834.

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Decision Support Systems (DSS) for assisted medical diagnosis are computer-based systems designed to assist clinicians with decision-making tasks by automatically determining diagnosis or improving diagnostic confidence. This could allow to perform early and differential diagnosis of neurological diseases, such as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD), for which definite diagnosis still remains a crucial issue. Multivariate Machine Learning (ML) methods are gaining popularity within the neuroimaging community. Among these, supervised ML methods are able to automatically extrac

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Loizillon, Sophie. "Deep learning for automatic quality control and computer-aided diagnosis in neuroimaging using a large-scale clinical data warehouse." Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS258.pdf.

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La prise en charge des patients dans les hôpitaux génère quotidiennement des données de santé essentielles pour que les médecins assurent les meilleurs soins possibles aux patients. Au cours de la dernière décennie, l'émergence des entrepôts de données de santé (EDS) a révolutionné l'exploitation des données de routine clinique à des fins de recherche. En rassemblant les données médicales issues du soin courant (dossiers médicaux électroniques, imagerie, tests de pathologie et de laboratoireldots), les EDS offrent une opportunité unique pour la recherche. L'accès à ces vastes ensembles de donn

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Tramontan, Lara. "Development and web-based implementations of algorithms for the automatic analysis of vessels in retinal images." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422957.

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The retinal fundus image analysis has become a common diagnostics tool, as it allows e.g. to gather information on the blood circulation in an easy and non-invasive way. My activity during the PhD has primarily focused on the development of algorithms and tools for the retinal images analysis allowing an automatic and reproducible understanding of information about the blood circulation and in particular about the structural features of the vascular network and the clinical parameters inferable from them. If several algorithms have been developed to segment the blood vessels, a very few

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D'Antuono, Damiano. "Torque-based statistical analysis for condition monitoring of automatic machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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This dissertation deals with the study, development and implementation of condition monitoring algorithms for automatic machines. These are implemented in the machine's PLC. First, data are collected from the machine. Each motion group has been studied to sample the most relevant points (10 points in total) in its trajectory. Second, data have been analysed. In particular, normality of data has been checked. Third, the condition monitoring task is fulfilled with a statistical analysis. In this context two tests are presented: the scalar test and the vector test. The scalar test consists in

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Sing-Yuh, Yeh, and 葉信育. "Automatic tongue diagnosis." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/61800817771066600848.

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Xu, Yi-Yuan, and 許議元. "Automatic fault diagnosis." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/33133502442836014376.

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CAI, JIA-HONG, and 蔡佳宏. "An automatic diagnosis system." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/13229520629570704183.

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Hsu, Cheng-chun, and 徐正俊. "Automatic Tongue Diagnosis System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/n2ergf.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>97<br>The core of diagnosis in Chinese Medicine is “pattern identification/syndrome differentiation and treatment” with inspection, listening and smelling examination, inquiry, and palpation as the bases. Tongue diagnosis tops the four diagnoses and hence is crucial to the inspection diagnosis in Chinese Medicine. Clinically, doctors mostly rely on their own knowledge and experience when determining major lesions of a patient by observing the coloration, overall modalities, and volume of salivary on different parts of the tongue. As a result, the diagnosis tends to

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Liu, Huai-Sheng, and 劉懷聖. "Automatic Fault Diagnosis of Compressor Valve." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/93612166039768775154.

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碩士<br>國立海洋大學<br>機械與輪機工程學系<br>91<br>Abstract Monitoring compressor’s conditions effectively can not only improve efficiency but also avoid loss caused by unexpected shutdowns. This study investigates automatic fault diagnosis for reciprocating compressors. Valve problems are reported as the primary reason for unexpected shutdowns of reciprocating compressors. Compressor valves fail for a variety of reasons, which can generally be attributed to either design flaws or operational mistakes. By making seeded faults, the valve’s fault dynamic features can be extracted

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