Search for dissertations about: "Deep Learning"

Showing result 1 - 5 of 242 swedish dissertations containing the words Deep Learning.

  1. 1. Learning and teaching sustainable development in global-local contexts

    Author : Birgitta Nordén; Malmö högskola; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Contextual Analysis; Critical Knowledge Capabilities; Deep approaches to learning; Deep approaches to teaching; Education for Sustainable Development; ESD; Environmental and Sustainabilty Education Research; ESER; Global classrooms; Global learning; Global eduction; Global - local contexts; Global Learning for Sustainable Development; GLSD; Global teaching and learning; Phenomenography; Sustainable Development; SD; sustainability; Teaching Approaches; Transdisciplinary Teaching; Transitions; Transnational education; Online learning; Transnational learning; Contextual Analysis; Deep Approaches to Learning; Deep Approaches to Teaching; Education for Sustainable Development ESD ; Environmental and Sustainabilty Education Research ESER ; Global Classrooms; Global Learning; Global Learning for Sustainable Development GLSD ; Global-Local Contexts;

    Abstract : The overall aim of this thesis is to develop knowledge of teachingand learning sustainable development in global–local contexts. Theresearch field is global learning for sustainable development (GLSD). READ MORE

  2. 2. Machine learning for building energy system analysis

    Author : Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks; Mikrodataanalys; Microdata Analysis;

    Abstract : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. READ MORE

  3. 3. Learner support for distance learners : A study of six cases of ICT-based distance education institutions in China

    Author : Shuting Gao; Vinayagum Chinapah; Shangwu Zhao; Chang Zhu; Stockholms universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Learner support; student support; support services; peer support; learner center; collaborative learning; interaction; motivation; critical thinking; creative thinking; deep learning; higher order learning; group learning; small group work; Community of Inquiry CoI ; ICT-based distance learning; Radio and TV University; distance education; Web-based learning; e-Learning; adult education; higher education; International and Comparative Education; internationell och jämförande pedagogik;

    Abstract : This thesis focuses on learner support in Chinese distance education. It draws a picture of Chinese modern distance education, covering the major issues in the field of learner support, and small group work as peer support. READ MORE

  4. 4. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms

    Author : Vidit Saxena; Joakim Jaldén; Mats Bengtsson; Hugo Tullberg; Jakob Hoydis; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wireless Communications; Reinforcement Learning; Multi-Armed Bandits; Thompson Sampling; Convex Optimization; Deep Learning; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE

  5. 5. Pith location and annual ring detection for modelling of knots and fibre orientation in structural timber : A Deep-Learning-Based Approach

    Author : Tadios Habite; Anders Olsson; Osama Abdeljaber; Jan Oscarsson; Welf Löwe; Julie Cool; Linnéuniversitetet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; Sawn timber; Pith location; Deep learning; Artificial neural networks; Convolutional neural network; Conditional generative adversarial network; Knot detection; Knot modelling; Knot reconstruction; Fibre orientation; Annual ring profile; Byggteknik; Civil engineering;

    Abstract : Detection of pith, annual rings and knots in relation to timber board cross-sections is relevant for many purposes, such as for modelling of sawn timber and for real-time assessment of strength, stiffness and shape stability of wood materials. However, the methods that are available and implemented in optical scanners today do not always meet customer accuracy and/or speed requirements. READ MORE