Essays about: "Supervised method"

Showing result 16 - 20 of 263 essays containing the words Supervised method.

1. 16. Predicting room occupancy based on carbon dioxide concentration levels : And potential energy-saving use cases in HVAC (heating, ventilation and air conditioning) control systems.

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

   Author : Elias Eliasson Schuhmacher; Markus Ledung; [2023]
   Keywords : ;

   Abstract : This thesis aims to explore the possibilities of recording room occupancy based on measured CO2 (carbon dioxide) concentration levels, and potential energy-saving uses in HVAC (heating, ventilation and air conditioning) - control systems. Furthermore, this thesis specifically aims to use unsupervised machine learning methods, which removes the need for generating correct occupancy labels and training the models before deploying them. READ MORE

3. 17. Capturing time variation within systemic risk estimation

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Christian Hovstadius; Baltsar Lindgren; [2023]
   Keywords : Systemic risk; CoVaR; State variables; Lasso; PCA; Business and Economics;

   Abstract : Systemic risk can be defined as the risk to the whole financial system. Financial institutions may contribute more or less to this risk, and measuring the systemic risk contributions of institutions is of central importance for regulators. READ MORE

4. 18. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

   Author : Ziyou Li; [2023]
   Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

   Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

5. 19. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

   Author : Fehmi Ayberk Uçkun; [2023]
   Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE

6. 20. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers

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

   Author : Toomas Liiv; [2023]
   Keywords : anomaly detection; semi-supervision; HSC; DeepSAD; photomasks; anomalidetektion; semi-övervakad; HSC; DeepSAD; fotomasker;

   Abstract : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. READ MORE