Essays about: "Model-based diagnosis"

Showing result 1 - 5 of 52 essays containing the words Model-based diagnosis.

  1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  3. 2. Battery Degradation and Health Monitoring in Lithium-Ion Batteries: An Evaluation of Parameterization and Sensor Fusion Strategies

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Simon Saber; [2024]
    Keywords : model-based diagnostics; modellbaserad diagnostik;

    Abstract : The purpose of this project was to perform model-based diagnosis on Li-ion batteries using real-world data and sensor fusion algorithms. The data used in this project was collected and distributed by NASA and mainly consists of voltage and current measurements collected on numerous batteries that were repeatedly charged and discharged from their beginning of life, and until surpassing their end of life. READ MORE

  4. 3. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fredrik Ohlson; [2023]
    Keywords : Tactical sensor systems; Sensor fusion; Model based diagnostics; Hypothesis testing; Taktiska sensor system; Sensor fusion; Modellbaserad diagnostisering; Hypotesprövning;

    Abstract : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. READ MORE

  5. 4. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Chenzhou Huang; [2023]
    Keywords : Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE

  6. 5. The potential of mixed reality application in robot condition monitoring : A literature review

    University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Author : Meseret Gashaw Mengstu; [2023]
    Keywords : Mixed reality MR ; Robot condition monitoring; Industrial robotics;

    Abstract : In the context of Industry 4.0, the prominence of robotics has grown significantly, leading to a pressing need for advanced monitoring techniques. This thesis explores the potential role of Mixed Reality (MR) in robot condition monitoring through an exhaustive literature review of 138 selected studies. READ MORE