Browsing Computing Dissertations and Theses by Subject "080108 Neural, Evolutionary and Fuzzy Computation"
Now showing items 1-7 of 7
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Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning
(2020)Dysarthria is a speech disorder disease that can have a significant impact on a person's daily life. Early detection of the disease can put the patient into therapy sessions more quickly. Researchers have established various ... -
A CNN-based identification of honeybees' infection using augmentation
(2021)RESEARCH QUESTIONS: [Are standard images classified accurately using Convolutional Neural Network (CNN) or transfer learning method?] Can varroa destructor mite be identified correctly from a small number of low-quality ... -
A framework for analysis and comparison of deepfakes detection methods
(2021)With the rise of AI (Artificial Intelligence), people can already utilise Deepfakes technology to generate fake pictures and videos increasingly. Similar to all technologies, while bringing benefits, this technology also ... -
Identification of queen-less beehives using signal enhancement techniques and neural networks
(2021)Beekeeping has a long history of about 180 years in New Zealand. The first group of honey bees introduced has expanded to approximately one million registered beehives by now. An increasing number of residents have been ... -
Intelligent beehive status monitoring in noisy environment
(2020)Artificial neural network (ANN) based bee-hive monitoring algorithm does not perform very efficiently in noisy environments. Although an ANN based bee-hive monitoring algorithm using audio signals of a beehive could perform ... -
Modelling wear patterns on footwear outsoles
(2019)ABSTRACT: The outsoles of footwear develop nicks, cuts, and tears via repeated exposure to the abrasive forces that occur between the outsole and the ground. These abrasions result in the formation of characteristics ... -
A quantum inspired competitive coevolution evolutionary algorithm
(2013)Continued and rapid improvement in evolutionary algorithms has made them suitable technologies for tackling many difficult optimization problems. Recently the introduction of quantum inspired evolutionary computation has ...
