Browsing by Advisor
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Deep learning based image super resolution
(2021)Image super resolution is one of the most significant computer vision researches aiming to reconstruct high resolution images with realistic details from low resolution images. In the past years, a number of traditional ... -
Lightweight deep learning for monocular depth estimation
(2021)Monocular depth estimation is a challenging but significant part of computer vision with many applications in other areas of study. This estimation method aims to provide a relative depth prediction for a single input ... -
Semi-supervised framework for clustering and semantic segmentation
(2021)During the past couple of decades, machine learning and deep learning methods have achieved remarkable results in many real-world applications. However, it is difficult to develop and train these artificial intelligence ... -
Towards machine learning enabled future-generation wireless network optimization
(2020)We anticipate that there will be an enormous amount of wireless devices connected to the Internet through the future-generation wireless networks. Those wireless devices vary from self-driving vehicles to smart wearable ... -
Use of semantic, syntactic and sentiment features to automate essay evaluation
Manual grading of essays by humans is time-consuming and likely to be susceptible to inconsistencies and inaccuracies. Mostly performed within an academic institution, the task at hand is to grade hundreds of submitted ...