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Browsing Conference Publications by Author "Twala, B"

Now showing items 1-17 of 17

Building a sustainable research & HCD eco-system: Case study of two wireless communication eco systems

Author: Mekuria, Fisseha ; Twala, B ; Marwala, T ; Ntlatlapa, Ntsibane S Date: May 2013 The paper describes the organization and management of two wireless eco-systems in next generation wireless communications research and human capacity development. The developed eco-systems have been tested and presented at an international ... Read more
Comparison of two detection algorithms for spot tracking in fluorescence microscopy images

Author: Mabaso, M ; Withey, Daniel J ; Twala, B Date: Nov 2014 Research in biological image analysis plays an important role in understanding the underlying mechanisms of cellular processes, which may lead to better knowledge of certain aspects of the cell function. The primary analysis of biological ... Read more
Fingerprint prediction using classifier ensembles

Author: Molale, P ; Twala, B ; Seeletse, S Date: Nov 2011 In this study, the application of classifiers to problems in fingerprint prediction is investigated. Six supervised learning and two statistical fingerprint classification methods (classifiers) are considered: linear discriminant analysis ... Read more
First principle leakage current reduction technique for CMOS devices

Author: Tsague, HD ; Twala, B Date: Dec 2015 This paper presents a comprehensive study of leakage reduction techniques applicable to CMOS based devices. In the process, mathematical equations that model the power-performance trade-offs in CMOS logic circuits are presented. From those ... Read more
A framework for creating realistic synthetic fluorescence microscopy image sequences

Author: Mabaso, M ; Withey, Daniel J ; Twala, B Date: Feb 2016 Fluorescence microscopy imaging is an important tool in modern biological research, allowing insights into the processes of biological systems. Automated image analysis algorithms help in extracting information from these images. Validation ... Read more
Increasing the detection of minority class instances in financial statement fraud

Author: Moepya, Stephen O ; Nelwamondo, Fulufhelo V ; Twala, B Date: Apr 2017 Financial statement fraud has proven to be difficult to detect without the assistance of data analytical procedures. In the fraud detection domain, minority class instances cannot be readily found using standard machine learning algorithms. ... Read more
Intelligent Mobile Sensing and Analysis Research Network in South Africa – Building a base at the CSIR

Author: Mekuria, Fisseha ; Nkosi, M ; Seotlo, V ; Twala, B Date: 01 Sep 2010 Intelligent capturing and secure communication of physiological and environmental data to central point of presence in large magnitude is crucial in the design of accurate models of natural and man-made systems or processes. The research ... Read more
Landscape mapping MAV using single image perspective cues

Author: Tekane, YC ; Twala, B ; Marwala, T Date: Jan 2015 We consider the problem of mapping with Miniature Aerial Vehicles (MAVs) in outdoor sites with distinguishable landscapes. The primary long range sensor in these MAVs is a miniature camera. While previous approaches first try to build a 3D ... Read more
Leakage current minimisation and power reduction techniques using sub-threshold design

Author: Tsague, HD ; Twala, B Date: Nov 2015 Low power IC solutions are in great demand with the rapid advancement of handheld devices, wearables, smart cards and radio frequency identification bringing a massive amount of new products to market that all have the same primary need: ... Read more
Performance evaluation of spot detection algorithms in fluorescence microscopy images

Author: Mabaso, M ; Twala, B ; Withey, Daniel J ; Utete, S Date: Oct 2012 Detection of messenger Ribonucleic Acid (mRNA) spots in fluorescence microscopy images is of great importance for biologists seeking better understanding of cell functionality. Fluorescence microscopy and specific staining methods make ... Read more
Quantitative comparison of two particle tracking methods in fluorescence microscopy images

Author: Mabaso, M ; Twala, B ; Withey, Daniel J Date: Sep 2013 Tracking of multiple bright particles (spots) in fluorescence microscopy image sequences is seen as a crucial step in understanding complex information in the cell. However, fluorescence microscopy generates high a volume of noisy image data ... Read more
Reverse engineering smart card malware using side channel analysis with machine learning techniques

Author: Djonon Tsague, Hippolyte ; Twala, B Date: Dec 2016 From inception, side channel leakage has been widely used for the purposes of extracting secret information, such as cryptographic keys, from embedded devices. However, in a few instances it has been utilized for extracting other information ... Read more
Simulation and parameter optimization of polysilicon gate biaxial strained silicon MOSFETs

Author: Tsague, HD ; Twala, B Date: Oct 2015 Although cryptography constitutes a considerable part of the overall security architecture for several use cases in embedded systems, cryptographic devices are still vulnerable to the diversity types of side channel attacks. Improvement in ... Read more
Slip estimation methods for proprioceptive terrain classification using tracked mobile robots

Author: Masha, Ditebogo F ; Burke, Michael G ; Twala, B Date: Nov 2017 Recent work has shown that proprioceptive measurements such as terrain slip can be used for terrain classification. This paper investigates the suitability of four simple slip estimation methods for differentiating between indoor and outdoor ... Read more
Spot detection in microscopy images using Convolutional Neural Network with sliding-window approach

Author: Mabaso, Matsilele A ; Withey, Daniel J ; Twala, B Date: Jan 2018 Robust spot detection in microscopy image analysis serves as a critical prerequisite in many biomedical applications. Various approaches that automatically detect spots have been proposed to improve the analysis of biological images. In this ... Read more
Techniques applied in design optimization of parallel manipulators

Author: Modungwa, D ; Tlale, NS ; Twala, B Date: Nov 2011 There are some key advantages associated with parallel robots, which have warranted their continued research and wide application in both university laboratories and industry. To obtain a parallel manipulator with good properties, as customized ... Read more
Unsupervised learning for robust bitcoin fraud detection

Author: Monamo, Patrick ; Marivate, Vukosi N ; Twala, B Date: Aug 2016 The rampant absorption of Bitcoin as a cryptographic currency, along with rising cybercrime activities, warrants utilization of anomaly detection to identify potential fraud. Anomaly detection plays a pivotal role in data mining since most ... Read more

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