Search for dissertations about: "eislab."
Showing result 1 - 5 of 175 swedish dissertations containing the word eislab..
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1. Embedded internet system architectures
Abstract : Today, using computers is a daily thing for many people over the world. We use computers to for example communicate, read news, search for sport events, correspond with e-mail, participate in meetings, and download the latest polyphonic ring tones for our mobile phones. READ MORE
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2. Electromagnetic modeling using the partial element equivalent circuit method
Abstract : This thesis presents contributions within the field of numerical simulations of electromagnetic properties using the Partial Element Equivalent Circuit (PEEC) method. Numerical simulations of electromagnetic properties are of high industrial interest. READ MORE
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3. Deep Learning for Geo-referenced Data : Case Study: Earth Observation
Abstract : The thesis focuses on machine learning methods for Earth Observation (EO) data, more specifically, remote sensing data acquired by satellites and drones. EO plays a vital role in monitoring the Earth’s surface and modelling climate change to take necessary precautionary measures. READ MORE
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4. An SBU fully additive production approach for Board-level Electronics Packaging (SBU-CBM Method)
Abstract : The worldwide electronics market is focusing on developing innovative technologies that can lead to denser, more resilient, and tighter board-level integration. The consumer electronics market is trending toward miniaturization, with HDI-PCBs dominating. Electronics shrinking and scaling technology is the prime concern of all manufacturers. READ MORE
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5. Vector Representations of Idioms in Data-Driven Chatbots for Robust Assistance
Abstract : This thesis presents resources capable of enhancing solutions of some Natural Language Processing (NLP) tasks, demonstrates the learning of abstractions by deep models through cross-lingual transferability, and shows how deep learning models trained on idioms can enhance open-domain conversational systems. The challenges of open-domain conversational systems are many and include bland repetitive utterances, lack of utterance diversity, lack of training data for low-resource languages, shallow world-knowledge and non-empathetic responses, among others. READ MORE