Essays about: "artificial neural network image processing"
Showing result 21 - 25 of 25 essays containing the words artificial neural network image processing.
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21. Noise Reduction in Flash X-ray Imaging Using Deep Learning
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Recent improvements in deep learning architectures, combined with the strength of modern computing hardware such as graphics processing units, has lead to significant results in the field of image analysis. In this thesis work, locally connected architectures are employed to reduce noise in flash X-ray diffraction images. READ MORE
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22. Exploring a video game AI bot that scans and reacts to its surroundings in real-time.
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The buzz surrounding artificial intelligences continues to grow. They are currently used in a wide variety of systems and appliances, such as video games, virtual personal assistants, and self-driving cars. This paper explores the possibility of a self-learning AI that can play the classic arcade game Q*BERT, using only screenshots as input. READ MORE
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23. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. READ MORE
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24. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : In this paper the brief overview of methods available for individual tree stems quality evaluation and tree species classification has been performed. The use of Near Infrared photometry based on conifer’s canopy reflectance measurement in near infrared range of spectrum has been evaluated for the use in autonomous forest harvesting. READ MORE
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25. ENVISAT ASAR for Land Cover Mappingand Change Detection
University essay from KTH/Geodesi och satellitpositioneringAbstract : The principal objective of this research is to investigate the capability of multi-temporal,multi-incidence angle, dual polarization ENVISAT ASAR imagery for extractinglanduse/land cover information in the rural-urban fringe of the Greater Toronto Area (GTA)using different image processing techniques and classification algorithms. An attempt todetermine the temporal change of landuse is also made. READ MORE