Search for dissertations about: "deep learning"
Showing result 1 - 5 of 251 swedish dissertations containing the words deep learning.
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1. Learning and teaching sustainable development in 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
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2. Machine learning for building energy system 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
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3. Learner support for distance learners : A study of six cases of ICT-based distance education institutions in China
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
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4. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms
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
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5. Pith location and annual ring detection for modelling of knots and fibre orientation in structural timber : A Deep-Learning-Based Approach
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
