Essays about: "lärande maskiner"

Showing result 1 - 5 of 8 essays containing the words lärande maskiner.

1. 1. 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

3. 2. EVALUATION OF UNSUPERVISED MACHINE LEARNING MODELS FOR ANOMALY DETECTION IN TIME SERIES SENSOR DATA

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

   Author : Lorenzo Bracci; Amirhossein Namazi; [2021]
   Keywords : Machine learning; Unsupervised learning; Anomaly detection; Time Series data; Maskininlärning; Oövervakat Lärande; Anomalidetektering; tidsseriedata;

   Abstract : With the advancement of the internet of things and the digitization of societies sensor recording time series data can be found in an always increasing number of places including among other proximity sensors on cars, temperature sensors in manufacturing plants and motion sensors inside smart homes. This always increasing reliability of society on these devices lead to a need for detecting unusual behaviour which could be caused by malfunctioning of the sensor or by the detection of an uncommon event. READ MORE

4. 3. One-shot learning through generalized representations with neural networks

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

   Author : Paul Vinell; Adam Wiker; [2020]
   Keywords : ;

   Abstract : Despite the rapid progress in the field of machine learning and artificial neural networks, many hurdles yet remain before machines can match human capabilities. One such hurdle is the copious amount of data required for these learning machines to reach adequate performance. READ MORE

5. 4. Gating Networks in Learning Machines for Multimodal Data : Decision Fusion on Single Modality Classifiers

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

   Author : Óttar Guðmundsson; [2019]
   Keywords : Multimodality; Gating Networks; Decision Fusion; Learning Machines; Internet-Based Cognitive Therapy; ; Multimodal; Gating-nätverk; Decision Fusion; lärande maskiner; Internet-baserad kognitiv terapi;

   Abstract : Different architectures of gating networks that aggregate information from multiple modalities and their suitability for decision fusion is investigated. The research question, how does a gating network for decision fusion in multimodal classification problem compare to other alternatives, is answered by a quantitative and inductive reasoning approach. READ MORE

6. 5. Facilitating an Industry 4.0 Implementation

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Louise Larsson; Jennie Nilsson; [2019]
   Keywords : Industry 4.0; big data; artificial intelligence; augmented reality; virtual reality; cyber‐physical systems; cloud computing; change management; technological change; competence development; motivation; Lewin’s Three‐stage Model of Change; gamification; Industri 4.0; big data; artificiell intelligens; augmented reality; virtual reality; cyberfysiska system; molnlagring; förändringsledning; teknologisk förändring; kompetensutveckling; motivation; Lewins trestegsmodell för förändring; gamification;

   Abstract : We are today facing an industrial revolution called Industry 4.0. Earlier in the human history, we have seen multiple industrial revolutions, but only after they actually happened. This is the first time we can see that an industrial revolution is on its way. READ MORE