Essays about: "machine learning neural networks image recognition"
Showing result 1 - 5 of 64 essays containing the words machine learning neural networks image recognition.
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1. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE
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2. Testing and Integration of Machine Learning Components for Image Classification : Testning och integration av machine learning komponenter förbildklassificering
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : As ML (Machine Learning) and deep neural networks get more used in many systems,the need to understand and test such systems becomes more actual. When designing a newsystem that contains ML models, the safety of this system becomes inevitably important. READ MORE
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3. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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4. 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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5. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. READ MORE