Essays about: "models of supervision"

Showing result 11 - 15 of 47 essays containing the words models of supervision.

  1. 11. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure

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

    Author : Anton Lu; [2022]
    Keywords : Rail Defect Detection; Rail Image Classification; Rail Joints; Object Detection; Image Classification; Deep Learning; Järnvägsfeldetektering; Järnvägsbildigenkänning; Järnvägsskarvar; Objectigenkänning; Bildklassificering; Djupinlärning;

    Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE

  2. 12. Using Machine Learning techniques to understand glucose fluctuation in response to breathing signals

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Nikolaos Karamichalis; [2021]
    Keywords : diabetes; machine learning; classification; prediction; cgm; physiological signals; glucose; type 1; d1namo; dataset;

    Abstract : Blood glucose (BG) prediction and classification plays big role in diabetic patients' daily lives. Based on International Diabetes Federation (IDF) in 2019, 463 million people are diabetic globally and the projection by 2045 is that the number will rise to 700 million people. READ MORE

  3. 13. Zero-shot, One Kill: BERT for Neural Information Retrieval

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Stergios Efes; [2021]
    Keywords : neural information retrieval; passage ranking; weak supervision; question answering; passage reranking; BERT; transfer-learning in IR; zero-shot IR; passage-retrieval; BERT for passage-retrieval; MS Marco; information retrieval; neural IR;

    Abstract : [Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al. READ MORE

  4. 14. Mobile-based 3D modeling : An indepth evaluation for the application to maintenance and supervision

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

    Author : Martin De Pellegrini; [2021]
    Keywords : Computer Vision; 3D Reconstruction; Deep Learning; Indoor; Digital Twin; Point Cloud.; Datorsyn; 3Drekonstruktion; Deep Learning; inomhus; Digital Twin; Point Cloud.;

    Abstract : Indoor environment modeling has become a relevant topic in several applications fields including Augmented, Virtual and Mixed Reality. Furthermore, with the Digital Transformation, many industries have moved toward this technology trying to generate detailed models of an environment allowing the viewers to navigate through it or mapping surfaces to insert virtual elements in a real scene. READ MORE

  5. 15. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Yegor Piven; [2021]
    Keywords : computer vision; machine learning; deep learning; depth estimation; single image depth estimation;

    Abstract : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. READ MORE