Essays about: "Contextual Model of Learning"

Showing result 1 - 5 of 12 essays containing the words Contextual Model of Learning.


    University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

    Author : Alena Seredko; [2020-03-24]
    Keywords : Engagement; Museum; Digital technology; Interactive exhibit; Contextual Model of Learning; Visitor Engagement Framework;

    Abstract : Purpose: The overall purpose of the study is to explore how engagement with digital interactive exhibits can be evaluated in a museum rather than in a science centre setting and scrutinize factors that encourage or hinder visitors’ engagement. This is examined using a case study of the Human Nature exhibition displayed at the Museum of World Culture (Gothenburg, Sweden). READ MORE

  2. 2. Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning

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

    Author : Samir Khays; [2019]
    Keywords : ;

    Abstract : Anticipating the future positions of the surrounding vehicles is a crucial task foran autonomous vehicle in order to drive safely. To foresee complex manoeuvresfor longer time horizons, a framework that relies on high-level properties ofmotion and is able to incorporate, e.g. contextual features, is needed. READ MORE

  3. 3. A deep learning model for scene recognition

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Zhaoxin Meng; [2019]
    Keywords : Scene recognition; CNN; convolutional supervised; Fisher Vector; transfer learning;

    Abstract : Scene recognition is a hot research topic in the field of image recognition. It is necessary that we focus on the research on scene recognition, because it is helpful to the scene understanding topic, and can provide important contextual information for object recognition. READ MORE

  4. 4. Anomaly Detection in Streaming Data from a Sensor Network

    University essay from KTH/Matematisk statistik

    Author : Egill Vignisson; [2019]
    Keywords : Anomaly Detection; Sequential Data; Semi-supervised Learning; Recurrent Neural Network; Applied Mathematics; Anomalidetektion; sekventiell data; halv-övervakad maskininlärning; återkommande neuralt nätverk; tillämpad matematik.;

    Abstract : In this thesis, the use of unsupervised and semi-supervised machine learning techniques was analyzed as potential tools for anomaly detection in the sensor network that the electrical system in a Scania truck is comprised of. The experimentation was designed to analyse the need for both point and contextual anomaly detection in this setting. READ MORE

  5. 5. Anomaly detection for non-recurring traffic congestions using Long short-term memory networks (LSTMs)

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

    Author : John Svanberg; [2018]
    Keywords : ML; machine learning; neural networks; recurrent neural networks; NN; RNN; LSTM; long short-term memory networks; anomaly detection; public transport; big data; data analysis;

    Abstract : In this master thesis, we implement a two-step anomaly detection mechanism for non-recurrent traffic congestions with data collected from public transport buses in Stockholm. We investigate the use of machine learning to model time series data with LSTMs and evaluate the results with a baseline prediction model. READ MORE