Browsing by Subject "Convolutional Neural Network"
Now showing items 1-5 of 5
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(2020-04-21)The primary objective of this project is to use a neural network (deep learning) model that will be trained on datasets of human cells in mitosis and then apply it on animal cells using transfer learning techniques. The ...
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(2019-04-23)For multi-lamp high flux solar simulators (HFSS), it is often difficult to obtain a required flux distribution by manipulating the lamp position of multiple lamps at once. Each lamp has three degree of freedom. Thus manual ...
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(2019-10-24)Machine Learning involves analysing large sets of training data to make predictions and decisions to achieve a specific objective. This data-intensive computation places enormous demand on the underlying hardware. To improve ...
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(2023-04-09)High-Efficient Video Coding(HEVC) is the video coding standard proposed by the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. HEVC, also termed H.265, can support 8K UHD videos and saves ...
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(2021-05-03)Bits on the wire not only impact video quality delivered to customers but also drive the costs of video streaming services. This project aims at building state-of-the-art deep-learning-based video super-resolution (VSR) ...