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Computational strategies to identify, prioritize and design potential antimalarial agents from natural products
(University of the Western Cape, 2015)
Introduction: There is an exigent need to develop novel antimalarial drugs in view of the mounting disease burden and emergent resistance to the presently used drugs against the malarial parasites. A large amount of natural ...
End-to-end single-rate multicast congestion detection using support vector machines
(2008)
IP multicast is an efficient mechanism for simultaneously transmitting bulk data to multiple receivers. Many applications can benefit from multicast, such as audio and videoconferencing, multi-player games, multimedia ...
miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm
(University of the Western Cape, 2008)
In summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently ...
Concept Based Knowledge Discovery from Biomedical Literature
(University of the Western Cape, 2009)
This thesis describes and introduces novel methods for knowledge discovery and presents a software system that is able to extract information from biomedical literature, review interesting connections between various ...
Prediction of antimicrobial peptides using hyperparameter optimized support vector machines
(University of the Western Cape, 2011)
Antimicrobial peptides (AMPs) play a key role in the innate immune response. They can be ubiquitously found in a wide range of eukaryotes including mammals, amphibians, insects, plants, and protozoa. In lower organisms, ...
Security related self-protected networks: autonomous threat detection and response (ATDR)
(University of the Western Cape, 2021)
Cybersecurity defense tools, techniques and methodologies are constantly faced with increasing
challenges including the evolution of highly intelligent and powerful new generation threats. The
main challenges posed by ...
Development of a simple artificial intelligence method to accurately subtype breast cancers based on gene expression barcodes
(University of the Western Cape, 2018)
INTRODUCTION:
Breast cancer is a highly heterogeneous disease. The complexity of achieving an accurate diagnosis and an effective treatment regimen lies within this heterogeneity. Subtypes of the disease are not simply ...
Computational prediction of host-pathogen protein-protein interactions
(University of the Western Cape, 2017)
Supervised machine learning approaches have been applied successfully to the prediction of protein-protein interactions (PPIs) within a single organism, i.e., intra-species predictions. However, because of the absence of ...
Robust recognition of facial expressions on noise degraded facial images
(University of the Western Cape, 2011)
We investigate the use of noise degraded facial images in the application of facial expression recognition. In particular, we trained Gabor+SVMclassifiers to recognize facial expressions images with various types of noise. ...
Security related self-protected networks: Autonomous threat detection and response (ATDR)
(University of Western Cape, 2021)
Cybersecurity defense tools, techniques and methodologies are constantly faced with increasing
challenges including the evolution of highly intelligent and powerful new-generation threats. The
main challenges posed by ...