Browsing by Subject "Deep learning"
Now showing items 1-9 of 9
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Channel estimation and equalisation using generative adversarial networks
(North-West University (South Africa)., 2023)Channel State Information (CSI) estimators are used in everyday communication systems to estimate channel impairments that affect transmitted data, and to equalise the impaired data to a more accurate state. However, ... -
Development of a machine learning plant growth estimator for hydroponics
(North-West University (South Africa)., 2022)Growth stage estimation in indoor farming is crucial for precision agriculture. It reduces the wastage of resources such as nutrients and water in plant cultivation. Overly, yield and quality of the agricultural produce ... -
Enhancing the value of patents as corporate assets in South Africa : how can artificial intelligence (AI) assist?
(PER/PELJ, 2021)Although the accounting definition of assets contemplates intangible, abstract assets such as those embodied in intellectual property (IP), South African company law largely views IP as a legal and not a business asset. ... -
Exploring CNN-Based Automatic Modulation Classification Using Small Modulation Sets
(Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2021, 2021)We investigate the effect of a reduced modulation scheme pool on a CNN-based automatic modulation classifier. Similar classifiers in literature are typically used to classify sets of five or more different modulation types ... -
Generalization in deep learning : bilateral synergies in MLP learning
(North-West University (South Africa)., 2021)We present an investigation of how simple artificial neural networks (specifcally, feed-forward networks with full connections between each successive pair of layers) generalize to out-of-sample data. By emphasizing the ... -
Insights regarding overfitting on noise in deep learning
(In Proc. South African Forum for Artificial Intelligence Research (FAIR2019), 2019-12)The understanding of generalization in machine learning is in a state of flux. This is partly due to the relatively recent revelation that deep learning models are able to completely memorize training data and still perform ... -
Intrusion detection using artificial neural networks and supervised deep learning
(North-West University (South Africa), 2022)One of the most challenging problems facing researchers and security experts today is protecting digital assets from the rising number of threats emerging from large networks, such as the Internet daily. Over the last ... -
Is the Dawn of the Robot Lawyer upon us? The Fourth Industrial Revolution and the Future of Lawyers
(PER/PELJ, 2020)The practice of law has been largely shielded from technological developments in the course of the past 50 years. While the ways in which legal professionals process and share information have evolved with new technologies ... -
The role of student evaluations of teaching in the improvement of assessment
(2015)Global concerns have arisen regarding the quality of higher education. As a part of the concerns regarding teaching and learning the aspect of assessment receives continuous criticism. Traditional methods of assessment are ...