Essays about: "NEURAL CONTROL"
Showing result 6 - 10 of 284 essays containing the words NEURAL CONTROL.
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6. Computational prediction of cell-cell interactions in the brain-tumour microenvironment
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. READ MORE
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7. A hierarchical neural network approach to learning sensor planning and control
University essay from Uppsala universitet/DatorteknikAbstract : The ability to search their environment is one of the most fundamental skills for any living creature. Visual search in particular is abundantly common for almost all animals. READ MORE
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8. Deep Learning-Driven EEG Classification in Human-Robot Collaboration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE
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9. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. READ MORE
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10. Data Driven Model Identification for Remote Electrical Tilt Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. READ MORE