Essays about: "Model Monitoring"

Showing result 21 - 25 of 606 essays containing the words Model Monitoring.

1. 21. Coordinate­Free Spacecraft Formation Control with Global Shape Convergence under Vision­Based Sensing

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

   Author : Omid Mirzaeedodangeh; [2023]
   Keywords : Bispherical Coordinates; 3D Formation Control; Spacecraft Formation Flying; Multiagent Systems; Prescribed Performance Control; Vision-Based Sensing; Bisfäriska Koordinater; 3D Formationskontroll; Rymdfarkostformationsflygning; Multiagentsystem; Föreskriven Prestandakontroll; Synbaserad Avkänning;

   Abstract : Formation control in multi-agent systems represents a groundbreaking intersection of various research fields with lots of emerging applications in various technologies. The realm of space exploration also can benefit significantly from formation control, facilitating a wide range of functions from astronomical observations, and climate monitoring to enhancing telecommunications, and on-orbit servicing and assembly. READ MORE

3. 22. Improved U-Net architecture for Crack Detection in Sand Moulds

   University essay from Högskolan i Gävle/Datavetenskap

   Author : Husain Ahmed; Hozan Bajo; [2023]
   Keywords : U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

   Abstract : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. READ MORE

4. 23. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 24. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   University essay from KTH/Fysik

   Author : Jeanette Marie Victoria Skeppland Hole; [2023]
   Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

6. 25. Complex KPIs versus the usual benchmarks : a case study on Svensk Dos order picking department

   University essay from SLU/Dept. of Economics

   Author : Shahin Armaki; Kawa Ahmad Mohammed; [2023]
   Keywords : Warehousing; Regression; Analysis; Sweden; Pharmaceutical Industry;

   Abstract : This thesis addresses the research gap of a limited discussion on how to establish targets and expectations for Key Performance Indicators (KPIs) related to order processing in warehouse settings. It emphasizes the scarcity of studies addressing this problem and the challenges faced by larger companies in monitoring their order processing performance without clear benchmarks. READ MORE