Essays about: "Convolutional Neural Networks"
Showing result 16 - 20 of 488 essays containing the words Convolutional Neural Networks.
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16. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. READ MORE
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17. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE
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18. Machine learning based Topology Optimization
University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperAbstract : This thesis aims to find a design suggestion for the chassis of a new micromobility vehicle developed by the company LEVTEK SWEDEN AB by using a multiple load, compliance based topology optimization. For this purpose, 9 static load cases are suggested, 4 of which have been derived from dynamic scenarios using an equivalent static load inspired approach based on free-body diagrams. READ MORE
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19. Deep learning of nonlinear development of unstable flame fronts
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The purpose of this study is to investigate Machine Learning methods and their ability to learn the development of nonlinear unstable flame fronts due to diffusive-thermal instabilities. This task is performed by first numerically computing long time-sequences of solutions to the chaotic partial differential equation named Kuramoto-Sivashinsky equation which models such instabilities in a flame front. READ MORE
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20. Investigation of 8-bit Floating-Point Formats for Machine Learning
University essay from Linköpings universitet/DatorteknikAbstract : Applying machine learning to various applications has gained significant momentum in recent years. However, the increasing complexity of networks introduces challenges such as a larger memory footprint and decreased throughput. This thesis aims to address these challenges by exploring the use of 8-bit floating-point numbers for machine learning. READ MORE