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Готові списки джерел за темами / Advanced diagnostic model

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Добірка наукової літератури з теми "Advanced diagnostic model"

Автор: Grafiati

Опубліковано: 10 березня 2023

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Статті в журналах з теми "Advanced diagnostic model"

1

OMOTOSHO, LAWRENCE, KEHINDE SOTONWA, BENJAMIN ADEGOKE, OLUWASHINA OYENIRAN, and JOSHUA OYENIYI. "AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL." Journal of Engineering Studies and Research 27, no. 3 (2022): 43–50. http://dx.doi.org/10.29081/jesr.v27i3.287.

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The use of computer technology has significantly advanced the medical sector, and many computer technologies have been used to develop healthcare, such as the patient management system, monitoring and control systems, and diagnostic systems. Technological advances in healthcare have also helped in saving numerous patients and are constantly improving our quality of life. Technology in the medical sector has also had a major effect on almost all healthcare professional techniques and practices. In order to facilitate rapid diagnosis and treatment of different skin diseases by the use of a deep

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2

Kern, Bastian, and Patrick Jöckel. "A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50)." Geoscientific Model Development 9, no. 10 (2016): 3639–54. http://dx.doi.org/10.5194/gmd-9-3639-2016.

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Abstract. Numerical climate and weather models have advanced to finer scales, accompanied by large amounts of output data. The model systems hit the input and output (I/O) bottleneck of modern high-performance computing (HPC) systems. We aim to apply diagnostic methods online during the model simulation instead of applying them as a post-processing step to written output data, to reduce the amount of I/O. To include diagnostic tools into the model system, we implemented a standardised, easy-to-use interface based on the Modular Earth Submodel System (MESSy) into the ICOsahedral Non-hydrostatic

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3

Blokh, D., N. Zurgil, I. Stambler, et al. "An Information-theoretical Model for Breast Cancer Detection." Methods of Information in Medicine 47, no. 04 (2008): 322–27. http://dx.doi.org/10.3414/me0440.

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Summary Objectives: Formal diagnostic modeling is an important line of modern biological and medical research. The construction of a formal diagnostic model consists of two stages: first, the estimation of correlation between model parameters and the disease under consideration; and second, the construction of a diagnostic decision rule using these correlation estimates. A serious drawback of current diagnostic models is the absence of a unified mathematical methodological approach to implementing these two stages. The absence of aunified approach makesthe theoretical/biomedical substantiation

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4

Zhu, Ning, Xiaoliang Xing, Limei Cao, et al. "Study on the Diagnosis of Gastric Cancer by Magnetic Beads Extraction and Mass Spectrometry." BioMed Research International 2020 (August 5, 2020): 1–8. http://dx.doi.org/10.1155/2020/2743060.

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Objective. This study constructed a model for the early diagnosis of gastric cancer by comparing the serum peptides profiles of patients with advanced gastric cancer and healthy people. And that model may be the potential to be applied for the efficacy evaluation and recurrence monitoring in gastric cancer. Methods. Serums of 30 healthy people and 30 advanced gastric cancer patients were matched by age and gender were collected. The serum peptide spectrum was obtained by MB-WCX concentration and MALDI-TOF MS analysis. Based on the analysis of the efficiency of differential peptides in the diag

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Al-Hasani, Maryam, Laith R. Sultan, Hersh Sagreiya, Theodore W. Cary, Mrigendra B. Karmacharya, and Chandra M. Sehgal. "Ultrasound Radiomics for the Detection of Early-Stage Liver Fibrosis." Diagnostics 12, no. 11 (2022): 2737. http://dx.doi.org/10.3390/diagnostics12112737.

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Objective: The study evaluates quantitative ultrasound (QUS) texture features with machine learning (ML) to enhance the sensitivity of B-mode ultrasound (US) for the detection of fibrosis at an early stage and distinguish it from advanced fibrosis. Different ML methods were evaluated to determine the best diagnostic model. Methods: 233 B-mode images of liver lobes with early and advanced-stage fibrosis induced in a rat model were analyzed. Sixteen features describing liver texture were measured from regions of interest (ROIs) drawn on B-mode images. The texture features included a first-order

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6

Wolff, Jamie K., Michelle Harrold, Tressa Fowler, John Halley Gotway, Louisa Nance, and Barbara G. Brown. "Beyond the Basics: Evaluating Model-Based Precipitation Forecasts Using Traditional, Spatial, and Object-Based Methods." Weather and Forecasting 29, no. 6 (2014): 1451–72. http://dx.doi.org/10.1175/waf-d-13-00135.1.

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Abstract While traditional verification methods are commonly used to assess numerical model quantitative precipitation forecasts (QPFs) using a grid-to-grid approach, they generally offer little diagnostic information or reasoning behind the computed statistic. On the other hand, advanced spatial verification techniques, such as neighborhood and object-based methods, can provide more meaningful insight into differences between forecast and observed features in terms of skill with spatial scale, coverage area, displacement, orientation, and intensity. To demonstrate the utility of applying adva

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Shubina, A. S., and L. M. Petrova. "Training Educational Psychologists: A Model of Working with Diagnostic Case." Psychological-Educational Studies 8, no. 3 (2016): 115–26. http://dx.doi.org/10.17759/psyedu.2016080311.

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The paper describes a model of working with a diagnostic case in educational psychological practice and analyses its compliance with the requirements of the professional standard for educational psychologists as well as with the theoretical bases of psychological assessment as a form of professional activity of a psychologist. The paper reviews the possibilities for making the requirements of the professional standard more specific by means of relating its components to the stages of the diagnostic process. As it is shown, a number of aspects in the diagnostic activity are deficient and requir

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La Spada, Luigi. "Metasurfaces for Advanced Sensing and Diagnostics." Sensors 19, no. 2 (2019): 355. http://dx.doi.org/10.3390/s19020355.

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Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and safety. Different electromagnetic technologies have been recently used and achieved good performances. Despite the plethora of literature, limitations are still present: limited response control, narrow bandwidth, and large dimensions. MetaSurfaces, artificial 2D materials with peculiar electromagnetic properties, can help to overcome such issues. In this paper, a generic tool to model, design, and manufacture MetaSurface s

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Sakai, S., K. Kobayashi, J. Nakamura, S. Toyabe, and K. Akazawa. "Accuracy in the Diagnostic Prediction of Acute Appendicitis Based on the Bayesian Network Model." Methods of Information in Medicine 46, no. 06 (2007): 723–26. http://dx.doi.org/10.3414/me9066.

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Summary Objectives : The diagnosis of acute appendicitis is difficult, and a diagnostic error will often lead to either a perforation or the removal of a normal appendix. In this study, we constructed a Bayesian network model for the diagnosis of acute appendicitis and compared the diagnostic accuracy with other diagnostic models, such as the naive Bayes model, an artificial neural network model, and a logistic regression model. Methods : The data from 169 patients, who suffered from acute abdominal pain and who were suspected of having an acute appendicitis, were analyzed in this study. Nine

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Schaefer, Inga-Marie, Ronald P. DeMatteo, and César Serrano. "The GIST of Advances in Treatment of Advanced Gastrointestinal Stromal Tumor." American Society of Clinical Oncology Educational Book, no. 42 (April 2022): 1–15. http://dx.doi.org/10.1200/edbk_351231.

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Gastrointestinal stromal tumor (GIST) is the most common malignant neoplasm of mesenchymal origin and a compelling clinical and biologic model for the rational development of molecularly targeted agents. This is because the majority of GISTs are driven by gain-of-function mutations in KIT or PDGFRA receptor tyrosine kinases. Specific GIST mutations circumscribe well-defined molecular subgroups that must be determined during the diagnostic work-up to guide clinical management, including therapeutic decisions. Surgery is the cornerstone treatment in localized disease and can also be clinically r

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Дисертації з теми "Advanced diagnostic model"

1

Isaksson, Olle. "Model-based Diagnosis of a Satellite Electrical Power System with RODON." Thesis, Linköping University, Linköping University, Vehicular Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16763.

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<p>As space exploration vehicles travel deeper into space, their distance to earth increases.The increased communication delays and ground personnel costs motivatea migration of the vehicle health management into space. A way to achieve thisis to use a diagnosis system. A diagnosis system uses sensor readings to automaticallydetect faults and possibly locate the cause of it. The diagnosis system usedin this thesis is a model-based reasoning tool called RODON developed by UptimeSolutions AB. RODON uses information of both nominal and faulty behavior ofthe target system mathematically formulated

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Smith, Ann. "Characterisation of condition monitoring information for diagnosis and prognosis using advanced statistical models." Thesis, University of Huddersfield, 2017. http://eprints.hud.ac.uk/id/eprint/32609/.

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This research focuses on classification of categorical events using advanced statistical models. Primarily utilised to detect and identify individual component faults and deviations from normal healthy operation of reciprocating compressors. Effective monitoring of condition ensuring optimal efficiency and reliability whilst maintaining the highest possible safety standards and reducing costs and inconvenience due to impaired performance. Variability of operating conditions being revealed through examination of vibration signals recorded at strategic points of the process. Analysis of these si

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3

Wang, Ye. "Advances in state estimation, diagnosis and control of complex systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/669680.

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This dissertation intends to provide theoretical and practical contributions on estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is motivated by real applications, such as water networks and power systems, which require a control system to provide a proper management able to take into account their specific features and operating limits in presence of uncertainties related to their operation and failures from component malfunctions. Such a control system is expected to provide an optimal operation to obtain efficient

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4

Navicelli, Andrea, Mario Tucci, and Filippo De Carlo. "Analisi ed applicazione di modelli diagnostici e prognostici per guasti e prestazioni di componenti di impianti industriali nell’era I4.0." Doctoral thesis, 2021. http://hdl.handle.net/2158/1234822.

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Il ruolo fondamentale che la manutenzione gioca nei costi di esercizio e nella produttività degli impianti industriali ha portato le aziende e i ricercatori a spostare il loro interesse su questo tema. L'ultima frontiera dell'innovazione in campo manutentivo, resa possibile anche dall'avvento della quarta rivoluzione industriale che promuove la sensorizzazione e l’interconnessione di tutti i macchinari di impianto, è la manutenzione predittiva. Essa mira ad ottenere una previsione accurata della vita utile dei componenti degli impianti industriali al fine di ottimizzare la schedulazione degli

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5

Κοψαυτόπουλος, Φώτης. "Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures." Thesis, 2012. http://hdl.handle.net/10889/5828.

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The past 30 years have witnessed major developments in vibration based damage detection and identification, also collectively referred to as damage diagnosis. Moreover, the past 10 years have seen a rapid increase in the amount of research related to Structural Health Monitoring (SHM) as quantified by the significant escalation in papers published on this subject. Thus, the increased interest in this engineering field and its associated potential constitute the main motive for this thesis. The goal of the thesis is the development and introduction of novel advanced functional and sequentia

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Σπυριδωνάκος, Μηνάς. "Advanced and complete functional series time-dependent ARMA (FS-TARMA) methods for the identification and fault diagnosis of non-stationary stochastic structural systems." Thesis, 2012. http://hdl.handle.net/10889/5829.

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Non-stationary signals, that is signals with time-varying (TV) statistical properties, are commonly encountered in engineering practice. The vibration responses of structures, such as traffic-excited bridges, robotic devices, rotating machinery, and so on, constitute typical examples of non-stationary signals. Structures characterized by properties that vary with time are generally referred as TV structures and their vibration-based identification under normal operating conditions is a significant and challenging problem. An important class of parametric methods for the solution of this proble

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Книги з теми "Advanced diagnostic model"

1

Advances in vascular medicine. Springer, 2010.

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Jelali, Mohieddine. Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods. Springer-Verlag London, 2010.

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3

NATO Advanced Study Institute on Advanced Modeling Techniques for Rapid Diagnosis and Assessment of CBRN Agents Effects on Water Resources (2005 Istanbul, Turkey). Assessment of the fate and effects of toxic agents on water resources: [proceedings of the NATO Advanced Study Institute on Advanced Modeling Techniques for Rapid Diagnosis and Assessment of CBRN agents effects on water resources, Istanbul, Turkey, 4-16 December 2005]. Springer, 2007.

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4

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (13th : 2001 : Baden-Baden, Germany), eds. Advances in database and expert systems: Data mining and data warehousing techniques, similarity search for reusable database components, performance assessment of learning algorithms, estimation of models for expert systems, complexity evaluation of software processes, multi-agent systems, multi-agent approach to coalition formation, communication between software agents in distributed information systems, expert systems for fault diagnosis, parameter modulated fractals generators, information management in Intranet and Extranet environments. International Institute for Advanced Studies in Systems Research and Cybernetics, 2001.

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5

Del Giudice, Marco. Evolutionary Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190246846.001.0001.

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This book presents a unified approach to evolutionary psychopathology, and advances an integrative framework for the analysis and classification of mental disorders based on the concepts of life history theory. The framework does not aim to replace existing evolutionary models of specific disorders—which are reviewed and critically discussed in the book—but to connect them in a broader perspective and explain the large-scale patterns of risk and comorbidity that characterize psychopathology. The life history framework permits a seamless integration of mental disorders with normative individual

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6

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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7

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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8

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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9

Ibrahim, El-Sayed H. Heart Mechanics: Magnetic Resonance Imaging--Advanced Techniques, Clinical Applications, and Future Trends. Taylor & Francis Group, 2017.

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10

Handler, Clive, Gerry Coghlan, David Abraham, and Michael Dashwood. Advances in Vascular Medicine. Springer, 2014.

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Частини книг з теми "Advanced diagnostic model"

1

Radkowitsch, Anika, Michael Sailer, Martin R. Fischer, Ralf Schmidmaier, and Frank Fischer. "Diagnosing Collaboratively: A Theoretical Model and a Simulation-Based Learning Environment." In Learning to Diagnose with Simulations. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89147-3_10.

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AbstractIn their daily practice, physicians with different professional backgrounds often diagnose a patient’s problem collaboratively. In those situations, physicians not only need to be able to diagnose individually, but also need additional collaborative competences such as information sharing and negotiation skills (Liu et al., 2015), which can influence the quality of the diagnostic outcome (Tschan et al., 2009). We introduce the CDR model, a process model for collaborative diagnostic reasoning processes by diagnosticians with different knowledge backgrounds. Building on this model, we develop a simulation in order to assess and facilitate collaborative diagnostic competences among advanced medical students. In the document-based simulation, learners sequentially diagnose five patients by inspecting a health record for symptoms. Then, learners request a radiological diagnostic procedure from a simulated radiologist. By interacting with the simulated radiologist, the learners elicit more evidence for their hypotheses. Finally, learners are asked to integrate all information and suggest a final diagnosis.

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2

Agarwal, Deepak, and Chandan Kumar Singh. "Model-Based Fault Detection on Modern Automotive Engines." In Advanced Engine Diagnostics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3275-3_9.

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3

Bilger, R. W. "Advanced Laser Diagnostics: Implications of Recent Results for Advanced Combustor Models." In Aerothermodynamics in Combustors. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84755-4_1.

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Streckfus, Charles F., Lenora Bigler, Courtney Edwards, Cynthia Guajardo-Streckfus, and Steven A. Bigler. "Using Saliva Secretions to Model Disease Progression." In Advances in Salivary Diagnostics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45399-5_9.

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Struss, Peter. "Diagnosis with Multiple Models for Advanced Applications." In Angewandte Informatik und Software / Applied Computer Science and Software. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93501-5_17.

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Isermann, Rolf. "Advanced model-based diagnosis of internal combustion engines." In Proceedings. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12918-7_27.

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Kusama, Y. "Requirements for Diagnostics in Controlling Advanced Tokamak Modes." In Advanced Diagnostics for Magnetic and Inertial Fusion. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8696-2_5.

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Mozetič, Igor. "Model-based diagnosis: An overview." In Advanced Topics in Artificial Intelligence. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55681-8_48.

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Michalak, Marcin, Beata Sikora, and Jurand Sobczyk. "Diagnostic Model for Longwall Conveyor Engines." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23437-3_37.

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10

Simani, Silvio, Cesare Fantuzzi, and Ronald Jon Patton. "Model-Based Fault Diagnosis Techniques." In Advances in Industrial Control. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3829-7_2.

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Тези доповідей конференцій з теми "Advanced diagnostic model"

1

Benkaci, Mourad, Andrei Doncescu, and Makoto Takizawa. "Conflict Intersection as Diagnostic Model." In 2012 IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA). IEEE, 2012. http://dx.doi.org/10.1109/waina.2012.224.

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2

Roemer, Michael J., and Gregory J. Kacprzynski. "Advanced Diagnostic and Prognostic Technologies for Gas Turbine Engine Risk Assessment." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0030.

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Real-time, integrated health monitoring of gas turbine engines that can detect, classify, and predict developing engine faults is critical to reducing operating and maintenance costs while optimizing the life of critical engine components. Statistical-based anomaly detection algorithms, fault pattern recognition techniques and advanced probabilistic models for diagnosing structural, performance and vibration related faults and degradation can now be developed for real-time monitoring environments. Integration and implementation of these advanced technologies presents a great opportunity to sig

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3

Kasian, Mykola, and Kostiantyn Kasian. "Diagnostic mathematical model of radio-electronic devices." In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2018. http://dx.doi.org/10.1109/tcset.2018.8336312.

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4

Kawasaki, Mami, Kazuya Nakano, Takashi Ohnishi, et al. "Motion picture acquisition and analysis of microcirculation in septic model rats." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX, edited by Caroline Boudoux and James W. Tunnell. SPIE, 2021. http://dx.doi.org/10.1117/12.2581275.

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5

Li, Ting, Boan Pan, Xiaobo Huang, Weichao Liu, and Xiang Fang. "Which experimental model can sensitively indicate brain death by functional near-infrared spectroscopy?" In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, edited by Tuan Vo-Dinh, Anita Mahadevan-Jansen, and Warren S. Grundfest. SPIE, 2018. http://dx.doi.org/10.1117/12.2288971.

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Kim, Minji, Yuhua Quan, Byeong Hyun Choi, Yeonho Choi, Hyun Koo Kim, and Beop-Min Kim. "Conditions for NIR fluorescence-guided tumor resectioning in preclinical lung cancer model (Conference Presentation)." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIV, edited by Tuan Vo-Dinh, Anita Mahadevan-Jansen, and Warren S. Grundfest. SPIE, 2016. http://dx.doi.org/10.1117/12.2212494.

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Lee, Hong-Yi, Ping-Hsien Chen, Kuo-Wei Chang, Wen-Chuan Kuo, and Lin Tzu-Han. "Detection of oral early cancerous lesion by using polarization-sensitive optical coherence tomography: mice model." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, edited by Tuan Vo-Dinh, Anita Mahadevan-Jansen, and Warren S. Grundfest. SPIE, 2018. http://dx.doi.org/10.1117/12.2291314.

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Kim, Minji, Yuhua Quan, Kook Nam Han, et al. "NIR fluorescent image-based evaluation of gastric tube perfusion after esophagectomy in preclinical model (Conference Presentation)." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIV, edited by Tuan Vo-Dinh, Anita Mahadevan-Jansen, and Warren S. Grundfest. SPIE, 2016. http://dx.doi.org/10.1117/12.2214064.

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Ross, Weston, Matthew Tucker, Guangshen Ma, and Patrick Codd. "Model for and analysis of intraoperative brain tumor boundary detection based on known spectral signatures of glioblastoma." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, edited by Anita Mahadevan-Jansen. SPIE, 2020. http://dx.doi.org/10.1117/12.2546329.

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Gruner, Michael, Ronny Maschke, Christopher Taudt, Patrick Hoyer, and Peter Hartmann. "Laser vibrometric characterization and model development of a human vocal tract for acoustic therapy of deaf patients." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, edited by Anita Mahadevan-Jansen. SPIE, 2020. http://dx.doi.org/10.1117/12.2546955.

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